DEV Community: Vishal Porwal

Building Responsive and Adaptive UIs in React: Practical Approaches for Modern Applications

Vishal Porwal — Fri, 23 Oct 2026 11:12:47 +0000

Responsive design is an essential part of modern web development. Users expect applications to work smoothly on desktop monitors, laptops, tablets, and mobile devices.

react ui component library makes it possible to build reusable UI components, but creating a responsive interface involves more than adjusting widths and adding CSS media queries. Complex applications often need layouts and components that adapt to different screen sizes, input methods, and usage contexts.

This becomes especially important for enterprise dashboards, reporting tools, and data-intensive applications.

Responsive vs. adaptive UI: What's the difference?
Responsive design generally focuses on making a layout adjust fluidly to the available screen space.

Adaptive design can go further by changing the arrangement, visibility, or behavior of components according to the device or application context.

For example, a dashboard might display a multi-column layout on a desktop but switch to a vertically stacked layout on a phone. A data grid might expose fewer columns on a smaller screen while preserving access to essential information.

Both approaches can work together to create a better user experience.

1. Build layouts that adapt naturally
Start with flexible layouts rather than fixed dimensions.
CSS Flexbox and Grid are useful for arranging components, while relative sizing and sensible minimum and maximum widths help prevent content from overflowing.
For example:

.dashboard {
display: grid;
grid-template-columns: repeat(
auto-fit,
minmax(min(100%, 280px), 1fr)
);
gap: 1rem;
}

This layout allows dashboard cards to rearrange based on the available width instead of relying on a fixed number of columns.

2. Use breakpoints thoughtfully
Breakpoints should reflect when a layout stops working well, rather than being selected solely for specific device models.
For instance, a dashboard might display three columns on a wide screen, two columns on a medium screen, and one column on a narrow screen.

.dashboard {
display: grid;
grid-template-columns: repeat(3, minmax(0, 1fr));
gap: 1rem;
}

@media (max-width: 900px) {
.dashboard {
grid-template-columns: repeat(2, minmax(0, 1fr));
}
}

@media (max-width: 600px) {
.dashboard {
grid-template-columns: 1fr;
}
}

The important thing is to test the layout at intermediate widths too, not only at common desktop and mobile sizes.

3. Make data-heavy components usable on smaller screens
Data grids present a particular challenge because tables often contain more information than a small screen can display comfortably.

Possible strategies include:

Showing the most important columns first.
Allowing horizontal scrolling where appropriate.
Providing column visibility controls.
Using compact layouts for smaller screens.
Offering an alternative detail view for individual records.
The right choice depends on the application and the information users need to access.
Simply shrinking a complex table can make it harder to use rather than more responsive.

4. Separate layout logic from business logic

Responsive behavior can become difficult to maintain when device checks are scattered throughout an application.
Keep layout decisions organized and use reusable components, CSS where appropriate, and React state or configuration only when the interface genuinely needs to change its behavior.
This makes the application easier to test and reduces the risk of inconsistent behavior between screens.

5. Consider a React component framework for complex applications
Building every component from scratch provides flexibility, but it also requires time for implementation, accessibility, testing, and maintenance.

For applications with advanced grids, charts, forms, and complex layouts, a component framework can provide a useful foundation.

Sencha's ReExt integrates Ext JS components into React applications. It gives React developers access to enterprise-oriented UI components and Ext JS layout and configuration capabilities.

Depending on the component and configuration, these capabilities can help teams build interfaces that adapt to different screen sizes without implementing every interaction and layout behavior independently.

ReExt is particularly relevant when the application requires more than basic buttons, inputs, and cards.

6. Test real user scenarios
A responsive layout should be tested beyond its visual appearance.
Check whether users can navigate with a keyboard, access important information, interact with touch targets, and complete essential workflows on smaller screens.

Also consider long labels, large datasets, empty states, loading indicators, and validation messages. These are common sources of layout problems.

Conclusion
Responsive and adaptive React interfaces require a combination of flexible layouts, thoughtful breakpoints, reusable components, and realistic testing.

For straightforward applications, CSS Grid, Flexbox, and a well-organized component architecture may be sufficient. For data-intensive enterprise applications, a framework with more advanced components and layout capabilities may reduce the amount of custom UI development required.

For more information, read Sencha's article:
Building Responsive and Adaptive UIs in React with ReExt
Discussion: How do you handle complex responsive layouts in React, especially when data grids and dashboards need to work on mobile devices?

How to Standardize UI Components Across Multiple React Applications

Vishal Porwal — Fri, 23 Oct 2026 10:58:27 +0000

As a React UI component library grows, maintaining a consistent user interface across multiple projects becomes increasingly challenging.

One team might use Material UI, another might build custom components, and a third might introduce a different library to meet its requirements. Initially, this flexibility can help teams move quickly. Over time, however, it can introduce duplicated code, inconsistent experiences, and additional maintenance overhead.

Standardizing on one UI component library can help address these challenges—but the process requires more than selecting a library and adding it to every project.

Why React UI Standardization Matters
When multiple applications share similar requirements, independently implementing the same components creates unnecessary work.

Consider forms, buttons, navigation elements, tables, and data grids. If every team builds and maintains its own implementation, fixes and improvements must be repeated across projects.

A shared React component library can help teams:

Maintain consistent UI patterns across applications.
Reuse existing components and reduce duplication.
Simplify component maintenance and upgrades.
Establish common accessibility and interaction standards.
Improve collaboration between frontend teams.

Choosing the Right React Component Library
The success of standardization depends on selecting a library that supports the organization's actual requirements.

Before committing, evaluate these areas:

Component coverage: Does the library provide the UI components your applications need?
Customization: Can teams adapt components to their design systems without creating unnecessary complexity?
Maintenance and upgrades: How easily can updates be rolled out across multiple projects?
Accessibility: Does the library support accessible interactions and consistent user experiences?
Scalability: Can the library support increasingly complex enterprise applications?

For teams already using React, ReExt is another option worth evaluating. It enables developers to use Ext JS components within React applications, combining React's component-based development model with Ext JS extensive collection of enterprise UI components. This approach can be useful when applications require advanced data grids, complex forms, and other feature-rich components without building everything from scratch.

Ultimately, the goal is to establish a consistent foundation while giving teams enough flexibility to meet their individual application requirements.

1. Component coverage
Check whether the library provides the components your applications need. Basic dashboards may require only forms, buttons, and tables, while enterprise applications may need advanced data grids, charts, complex filtering, and inline editing.

2. Customization and theming
A shared library should support a consistent design language without requiring extensive overrides for every application.

3. Accessibility
Evaluate keyboard navigation, focus management, screen-reader support, and appropriate ARIA attributes. These requirements should be part of the selection process, not an afterthought.

4. Performance and scalability
Test components with realistic data volumes and application workloads. A component that performs well in a small demo may behave differently in a data-intensive application.

5. Long-term maintenance
Review documentation, release activity, upgrade paths, licensing, and support options before making a long-term commitment.

Create clear guidelines for adoption

Selecting a library is only the first step. Teams also need consistent rules for using and maintaining it.

Establish guidelines for component usage, theming, version management, testing, and documentation. If teams need exceptions, define when and how those exceptions can be approved.

This prevents each application from gradually developing its own implementation conventions.

Migrate incrementally
Replacing components across every application at once can introduce unnecessary risk.

Start with a representative application or module. Identify existing dependencies, test the proposed library against real requirements, and document the effort required to migrate.

Once the approach has been validated, expand it to other applications in stages.

Should every React application use the same library?
Not necessarily.
Standardization is most valuable when applications share similar requirements and benefit from common maintenance practices. Some products may have specialized needs that justify a different approach.
The objective is to reduce unnecessary fragmentation while retaining flexibility where it provides real value.

Final thoughts
A shared UI component library can improve consistency, reduce duplication, and simplify maintenance across React applications. The benefits depend on choosing the right foundation, establishing clear conventions, and planning adoption carefully.

For a deeper discussion of this approach, read Sencha Ext JS article:
How to Standardize on One UI Component Library Across Your React Apps
Discussion: How does your team manage shared UI components across multiple React applications?

React Grid Components: How to Combine Layouts and Data Grids in One Framework

Vishal Porwal — Thu, 22 Oct 2026 04:08:28 +0000

When developers search for a React data grid enterprise, they may be looking for a way to arrange cards on a page—or a powerful table for managing thousands of records.

These are different problems, but enterprise applications often need both.

A typical operations dashboard might include a navigation sidebar, filter controls, a central orders table, and a details panel. The layout determines how those sections fit together, while the data grid provides the tools for working with the underlying records.
Choosing these components separately can work well, but it also introduces integration and maintenance considerations.

Understand the Two Types of React Grid Layout grids Layout grids control where components appear and how they resize. Common choices include: CSS Grid: Native browser layout for rows, columns, and responsive page structures.

Flexbox: Useful for one-dimensional layouts and flexible alignment.
MUI Grid and similar UI-kit components: Convenient for teams already using a particular design system.
React-Bootstrap and utility classes: Useful for responsive layouts built around established CSS conventions.
These approaches are excellent for websites, content pages, and many application interfaces.

Data grids

A React data grid displays records in rows and columns and lets users interact with them.
Depending on the library and edition, features may include sorting, filtering, editing, grouping, aggregation, and export.
Examples include AG Grid, MUI X Data Grid, TanStack Table, and Ext JS through ReExt.
The important distinction is that a layout grid organizes the interface, while a data grid manages the data presented inside it.

Why Enterprise Applications Often Need Both

Imagine an order-management screen with five requirements:
A header with global actions.
A navigation sidebar.
A filter panel.
A data grid containing thousands of orders.
A details panel that changes when a user selects a row.

When separate libraries handle the layout and grid, developers may need to coordinate theme styling, panel resizing, component lifecycles, and library upgrades.
These are solvable problems, but they add integration work.
A framework that provides both layout components and a data grid can reduce the amount of custom coordination required.

Using ReExt for Layouts in React ReExt lets React applications render Ext JS components. Ext JS includes several layout types designed for application interfaces. Layout Typical use vbox Stacking sections vertically hbox Placing panels side by side border Creating an application shell with multiple regions fit Filling a panel with a single child card Switching between views accordion Collapsible navigation or filter sections

For example, a horizontal layout can organize KPI cards:

import ReExt from "@sencha/reext";

function MetricsRow() {
  return (
    <ReExt
      xtype="container"
      style={{ height: 140 }}
      config={{
        layout: {
          type: "hbox",
          align: "stretch"
        }
      }}
    >
      <ReExt
        xtype="panel"
        childFlex={1}
        config={{
          title: "Open orders",
          html: "128"
        }}
      />

      <ReExt
        xtype="panel"
        childFlex={2}
        config={{
          title: "Monthly revenue",
          html: "$1.42M"
        }}
      />

      <ReExt
        xtype="panel"
        childFlex={1}
        config={{
          title: "Late shipments",
          html: "7"
        }}
      />
    </ReExt>
  );
}

This example illustrates the layout configuration. Verify the component props and runtime setup against the ReExt version installed in your application.

Build an Application Shell with Border Layout Border layouts are useful when an application needs distinct regions: a header, navigation, main content, and a contextual details panel.

xtype="panel"
childRegion="west"
childWidth={220}
childSplit={true}
config={{
title: "Navigation",
collapsible: true
}}
/>

xtype="panel"
childRegion="center"
config={{ title: "Main content" }}
/>

xtype="panel"
childRegion="east"
childWidth={260}
childSplit={true}
config={{
title: "Details",
collapsible: true
}}
/>

The parent layout manages the regions. Splitters let users resize the side panels, while the center region occupies the remaining space.

Put a Data Grid Inside the Layout Once the shell is in place, the center region can contain a data grid. A typical enterprise screen might use: A filter panel for narrowing the dataset. A central grid for browsing and editing recor A details panel for the selected row. React state for application-level interactions. With ReExt, the layout and data grid use Ext JS components within a React application. This can be useful when the application needs more than a standalone table. For a working implementation, configure ReExt and its provider, load the required Ext JS resources, and verify the relevant component APIs and license entitlements. Treat snippets as starting points rather than complete production-ready applications.

6. When CSS Grid Is Still the Better Choice
A comprehensive component framework is not the right answer for every screen.

Choose CSS Grid or Flexbox when:

Building responsive marketing or content pages.
Creating mobile-first consumer interfaces.
Arranging a small number of cards or sections.
Avoiding extra dependencies is a priority.
Consider a framework with integrated layouts and data grids when:
Building data-intensive enterprise dashboards.
Supporting resizable and collapsible application panels.
Maintaining consistent UI behavior across many screens.
Requiring a rich set of data-grid and business UI components.
You can also combine approaches: use CSS Grid for public-facing pages and ReExt for the complex operational screens inside the same React application.

7. Best Practices for React Grid Components

Choose the grid type first. Decide whether the main requirement is layout, data interaction, or both.
Give complex layouts a defined height. Layouts that distribute space between child regions need a parent with a suitable sizing context.

Let the layout control the grid size. Avoid unnecessary fixed dimensions when the data grid should expand as side panels resize.
Keep configuration stable. Memoize expensive configuration objects when appropriate so unrelated React state changes don't trigger unnecessary grid reconfiguration.

Avoid duplicate styling systems where possible. A consistent theme reduces visual mismatches and custom CSS.
Evaluate the complete maintenance cost. Compare implementation effort, accessibility, performance, licensing, support, and upgrade requirements—not just the initial component price.

Conclusion
React layout grids and data grids solve different problems, but enterprise applications often need both on the same screen.
CSS Grid, Flexbox, and UI-kit grids remain strong options for responsive page layouts. For data-intensive applications that need complex panels and a full-featured data grid, ReExt provides another approach by bringing Ext JS layouts and data-grid components into React.
The right choice depends on the screen, the data volume, and how much behavior your team wants to build and maintain itself.
Read the original guide: https://www.sencha.com/blog/react-grid-component-layout-and-data-grids-in-one-framework/

How to Choose a React Grid Component: 12 Features Enterprise Apps Need

Vishal Porwal — Wed, 21 Oct 2026 13:21:44 +0000

A React data grid enterprise can start as a simple table and become one of the most important parts of an enterprise application.
Initially, sorting and filtering may be enough. As the application grows, users may expect grouped summaries, editable cells, locked columns, Excel export, pivot tables, and responsive scrolling through hundreds of thousands of records.
Selecting the right grid early can reduce the amount of custom functionality your team must implement and maintain.
This guide covers 12 features worth evaluating and shows how ReExt brings Ext JS grid capabilities into React.

Performance with Large Datasets
Look for virtual or buffered rendering that limits the number of rows rendered in the DOM.
Test the grid using production-like data and your actual column count. Measure initial rendering, scrolling, and updates rather than relying on a small demo.
With ReExt, the Ext JS grid provides buffered rendering, and buffered stores can request remote data in blocks.
Server-Side Sorting, Filtering, and Pagination
For large datasets, the browser shouldn't need to download every record before users can work with the data.
Your grid should send sorting, filtering, and pagination requests to the backend and display the returned records and total count.
A simplified ReExt store configuration looks like this:

const ordersStore = {
  pageSize: 100,
  remoteSort: true,
  remoteFilter: true,
  proxy: {
    type: "ajax",
    url: "/api/orders",
    reader: {
      type: "json",
      rootProperty: "data",
      totalProperty: "total"
    }
  },
  autoLoad: true
};

The API must implement the corresponding request parameters and response format. Server-side authorization and filtering should always be enforced by the backend.

Sorting and Filtering Users Can Control
Enterprise users often need to sort by multiple columns and filter according to data type.
Check support for text filters, numeric ranges, date filters, and selectable lists. Also verify that local and remote filtering behave consistently.
Grouping and Summaries
Grouping lets users organize records by fields such as region, department, or status. Summaries add subtotals and grand totals.
ReExt can configure these features using the Ext JS store and grid features:

<ReExt
  xtype="grid"
  config={{
    store: {
      data: orders,
      groupField: "region"
    },
    features: [
      {
        ftype: "groupingsummary",
        groupHeaderTpl: "{name}"
      },
      {
        ftype: "summary",
        dock: "bottom"
      }
    ],
    columns: [
      {
        text: "Customer",
        dataIndex: "customer",
        flex: 1
      },
      {
        text: "Amount",
        dataIndex: "amount",
        xtype: "numbercolumn",
        summaryType: "sum"
      }
    ]
  }}
/>

This is an illustrative configuration. The project also needs the appropriate ReExt setup and Ext JS resources.

Inline Editing with Validation Editing directly in a grid is useful for order management, inventory, financial records, and other operational workflows. Evaluate cell and row editing, validation, dropdown editors, error handling, and how failed saves are rolled back. ReExt exposes Ext JS editing plugins and allows edit events to be handled by React:

<ReExt
  xtype="grid"
  config={{
    store: { data: orders },
    plugins: [
      {
        ptype: "cellediting",
        clicksToEdit: 1
      }
    ],
    columns: [
      {
        text: "Amount",
        dataIndex: "amount",
        editor: {
          xtype: "numberfield",
          minValue: 0,
          allowBlank: false
        }
      }
    ]
  }}
  onEdit={(editor, context) => {
    saveOrder(context.record.getData());
  }}
/>

The application should validate changes on the server as well as in the UI.
6.** Locked Columns**
Locked columns keep important fields visible while users scroll horizontally.
Test how locking interacts with grouping, editing, keyboard navigation, and saved layouts.
ReExt uses Ext JS column configuration:

columns: [
  {
    text: "Order ID",
    dataIndex: "id",
    locked: true,
    width: 100
  },
  {
    text: "Customer",
    dataIndex: "customer",
    locked: true,
    width: 180
  },
  {
    text: "Amount",
    dataIndex: "amount",
    flex: 1
  }
]

Enable column locking on the grid where required.

Column Management and Saved Layouts
Users may want to resize columns, change their order, hide irrelevant fields, and restore their preferred layout later.
Evaluate whether layout persistence is built in or requires custom code. In Ext JS, stateful grids can use a state provider and a stable stateId to save column preferences.
Range Selection and Clipboard
Spreadsheet-style workflows can make data-heavy applications significantly easier to use.
Check whether users can select ranges, copy cells to Excel, paste values, and navigate with the keyboard. These features may require a commercial tier depending on the grid.
ReExt can use Ext JS's spreadsheet selection model and clipboard plugin, subject to the relevant version and licensing.
Excel and CSV Export
Export should preserve meaningful data, not just produce a file.
Test numeric and date types, formatting, grouped rows, summaries, filters, and behavior with large datasets.
ReExt provides the Ext JS grid exporter through a plugin. An illustrative React button can call the grid's export method:

import { useRef } from "react";
import ReExt from "@sencha/reext";

function ExportableGrid({ orders }) {
  const gridRef = useRef(null);

  return (
    <>
      <ReExt
        xtype="grid"
        ready={(grid) => {
          gridRef.current = grid;
        }}
        config={{
          store: { data: orders },
          plugins: [
            { ptype: "gridexporter" }
          ],
          columns: [
            {
              text: "Customer",
              dataIndex: "customer",
              flex: 1
            },
            {
              text: "Amount",
              dataIndex: "amount",
              xtype: "numbercolumn"
            }
          ]
        }}
      />

      <button
        onClick={() =>
          gridRef.current?.saveDocumentAs({
            type: "excel07",
            fileName: "orders.xlsx"
          })
        }
      >
        Export to Excel
      </button>
    </>
  );
}

The exporter requires the appropriate Enterprise package and setup. If users need all records matching a server-side filter, a backend export endpoint may be more appropriate than exporting only loaded rows.

Pivoting and Analytics Pivoting turns records into a multidimensional summary. Users might analyze revenue by region and quarter without manually creating a new report for each combination. With ReExt, the Ext JS pivot grid can be configured using dimensions and aggregations:

<ReExt
  xtype="pivotgrid"
  style={{ height: 400 }}
  config={{
    store: { data: sales },
    matrix: {
      leftAxis: [
        {
          dataIndex: "region",
          header: "Region"
        }
      ],
      topAxis: [
        {
          dataIndex: "quarter",
          header: "Quarter"
        }
      ],
      aggregate: [
        {
          dataIndex: "revenue",
          aggregator: "sum",
          header: "Revenue"
        }
      ]
    }
  }}
/>

Pivoting is part of the Ext JS Enterprise offering. Confirm the appropriate package and version before implementing it.

Tree Data and Master-Detail Not all enterprise data is flat. Account hierarchies, organizational structures, and bills of materials may need tree views. Orders may need expandable detail rows showing individual line items.

Test lazy loading, keyboard navigation, expandable rows, and the behavior of nested data.
ReExt provides access to Ext JS tree panels and grid row-expander functionality, which can be useful when an application needs several related views.

Accessibility and Keyboard Navigation Accessibility should be part of grid evaluation from the beginning. Test cell navigation, editing, sorting, menus, focus behavior, and screen-reader announcements. Run an accessibility audit against your application's applicable requirements rather than relying only on a vendor's claims. ReExt makes Ext JS keyboard and ARIA capabilities available, but the completed application still needs to be tested. What Is ReExt, and When Should You Consider It? ReExt brings Ext JS components into React applications. It can be useful when the application needs a sophisticated grid along with forms, charts, trees, layouts, and other business UI components. The Ext JS grid provides a broad set of data manipulation capabilities. Pivoting and the exporter require the Enterprise plan, while other feature availability depends on the

Conclusion

Choosing an enterprise React data grid requires looking beyond sorting and filtering. Performance, server-side data, editing, grouping, locking, layout persistence, clipboard, export, pivoting, hierarchical data, and accessibility can all influence the final decision.
ReExt is one option for bringing Ext JS grid capabilities into React, especially when the rest of the enterprise component ecosystem is relevant to the application.
Read the complete guide: How to Choose a React Grid Component: 12 Features Enterprise Apps Need

Enterprise React Data Grid Checklist: Locking, Pivoting, Export, and Server-Side Data

Vishal Porwal — Wed, 21 Oct 2026 05:04:13 +0000

Enterprise React Data Grid Checklist: Locking, Pivoting, Export, and Server-Side Data

Choosing a React data grid enterprise involves more than checking whether it supports sorting and filtering. Enterprise applications need reliable behavior when several advanced features are used together.

A grid may handle column locking in isolation but misalign rows after grouping is enabled. An Excel export may work for a small dataset but become unusable when users need hundreds of thousands of records. Client-side pagination may look responsive while quietly preventing users from exporting the complete dataset.
This guide covers four features worth validating during a grid evaluation and shows how ReExt can provide these capabilities inside a React application.

**Column Locking: **Test More Than the Visual Result Column locking, also called freezing or pinning, keeps important columns visible while the remaining grid scrolls horizontally. Typical examples include order IDs, customer names, account numbers, and product identifiers.

Your checklist should include:
Locking columns through configuration.
Allowing users to lock or unlock columns.
Keeping row heights and vertical scrolling synchronized.
Supporting grouping, summaries, and editing with locked columns.
Preserving keyboard navigation across locked and unlocked columns.
Saving the user's layout when required.
ReExt Coding Style for Locked Columns
ReExt uses the Ext JS component configuration inside a React component. Set locked: true on columns that should remain visible, and enable column locking on the grid.
import ReExt from "@sencha/reext";

function OrdersGrid({ orders }) {
  return (
    <ReExt
      xtype="grid"
      style={{ height: 420 }}
      config={{
        enableLocking: true,
        store: {
          data: orders,
          groupField: "region"
        },
        features: [
          { ftype: "groupingsummary" }
        ],
        columns: [
          {
            text: "Order ID",
            dataIndex: "id",
            width: 100,
            locked: true
          },
          {
            text: "Customer",
            dataIndex: "customer",
            width: 180,
            locked: true
          },
          {
            text: "Region",
            dataIndex: "region",
            width: 120
          },
          {
            text: "Amount",
            dataIndex: "amount",
            width: 140,
            xtype: "numbercolumn",
            format: "$0,000",
            summaryType: "sum"
          }
        ]
      }}
    />
  );
}

export default OrdersGrid;
This example illustrates the grid configuration pattern. A working application also needs the appropriate ReExtProvider, Ext JS resources, and license. To persist user layouts between sessions, configure an Ext JS state provider as described in the documentation.

Pivoting: Let Users Explore Data Without Writing New Reports Pivoting transforms records into a multidimensional summary. For example, sales can be grouped by region and quarter, with revenue and order counts shown as separate measures. Evaluate whether the grid supports: Configurable row and column dimensions. Drag-and-drop field rearrangement. Sum, count, average, minimum, and maximum aggregations. Multiple measures. Nested dimensions and subtotals. Grand totals. Exporting the pivot result. Server-side aggregation for very large datasets. ReExt Coding Style for Pivoting ReExt exposes the Ext JS pivot grid through its component configuration. The following example illustrates the general structure: import ReExt from "@sencha/reext";

function SalesPivot({ sales }) {

return (
    <ReExt
      xtype="pivotgrid"
      style={{ height: 420 }}
      config={{
        store: {
          data: sales
        },
        plugins: [
          { ptype: "pivotconfigurator" },
          { ptype: "pivotexporter" }
        ],
        matrix: {
          leftAxis: [
            {
              dataIndex: "region",
              header: "Region"
            }
          ],
          topAxis: [
            {
              dataIndex: "quarter",
              header: "Quarter"
            }
          ],
          aggregate: [
            {
              dataIndex: "revenue",
              aggregator: "sum",
              header: "Revenue"
            },
            {
              dataIndex: "revenue",
              aggregator: "count",
              header: "Orders"
            }
          ]
        }
      }}
    />
  );
}

export default SalesPivot;
The pivot grid, configurator, and exporter require the appropriate Ext JS Enterprise setup and packages. Confirm the supported configuration for your installed version before using this example in production.
For datasets too large to aggregate efficiently in the browser, evaluate server-side pivot processing.

Excel and CSV Export: Validate the Contents of the File Export is often a business-critical workflow for finance, operations, auditing, and reporting teams. A successful export should do more than create a downloadable file. Test whether: XLSX and CSV output are available. Numbers remain numeric values. Dates remain dates with appropriate formatting. Grouping and summary rows are handled correctly. The export respects the intended filters and sorting. Hidden or action-only columns can be excluded. Large exports complete without freezing the browser. ReExt Coding Style for Export ReExt can expose the underlying Ext JS grid instance through its ready callback. You can keep a reference and call saveDocumentAs from a React button.

import { useRef } from "react";
import ReExt from "@sencha/reext";

export default function ExportableGrid({ orders }) {
  const gridRef = useRef(null);

  return (
    <>
      <ReExt
        xtype="grid"
        style={{ height: 420 }}
        ready={(cmp) => {
          gridRef.current = cmp;
        }}
        config={{
          store: {
            data: orders
          },
          plugins: [
            { ptype: "gridexporter" }
          ],
          columns: [
            {
              text: "Customer",
              dataIndex: "customer",
              flex: 1
            },
            {
              text: "Amount",
              dataIndex: "amount",
              xtype: "numbercolumn",
              format: "$0,000.00",
              exportStyle: {
                format: "Currency"
              }
            }
          ]
        }}
      />

      <button
        onClick={() =>
          gridRef.current?.saveDocumentAs({
            type: "excel07",
            title: "Orders",
            fileName: "orders.xlsx"
          })
        }
      >
        Export to Excel
      </button>

      <button
        onClick={() =>
          gridRef.current?.saveDocumentAs({
            type: "csv",
            fileName: "orders.csv"
          })
        }
      >
        Export CSV
      </button>
    </>
  );
}

This is an illustrative implementation. The exporter is an Enterprise feature, and the relevant package must be enabled. For server-paginated data, consider a backend export endpoint when users need all matching records rather than only the rows loaded in the browser.

Server-Side Data: Let the Backend Handle Large Datasets When the dataset becomes large, downloading every record to the browser is inefficient and may expose data users do not need. A server-side grid should send sorting, filtering, and pagination information to the API and receive only the required page or block of data.

Validate that:
Multi-column sorting reaches the backend.
Filters are passed as structured parameters.
The API returns the correct total record count.
Pagination and infinite scrolling behave correctly.
Loading and error states are visible.
Rapid filter changes don't generate excessive requests.
Edits are persisted and failures are handled.
Authorization is enforced by the server.
ReExt Coding Style for Remote Data
A store can use an AJAX proxy to request data from the backend. A simplified configuration looks like this:

const remoteStore = {
  pageSize: 100,
  remoteSort: true,
  remoteFilter: true,
  proxy: {
    type: "ajax",
    url: "/api/orders",
    reader: {
      type: "json",
      rootProperty: "data",
      totalProperty: "total"
    }
  },
  autoLoad: true
};

Use this store configuration inside the grid's config property. The API must implement the corresponding query parameters and return a response with the configured data array and total count.
For continuous scrolling through large datasets, evaluate Ext JS buffered stores. For very large exports, use the same filter and sort criteria on the server to generate the complete file.

Test the Four Features Together
Individual feature demos are not enough. A production proof of concept should combine them.
Load realistic server-side data.
Lock key columns and group by a business field.
Sort and filter records.
Edit a value and navigate between locked and scrolling columns.
Export the filtered results and verify the data types and totals.
Test a pivot view and export it.
Reload the application and verify the saved layout.
Record the required license tier for every feature you test.
How ReExt Fits Into the Decision
ReExt lets React applications use Ext JS components, including the enterprise grid. Under the applicable Ext JS plans, the grid provides features such as grouping, summaries, editing, locked columns, and server-side data handling. The pivot grid and data exporter are Enterprise features.
This approach can be useful for teams that need a grid alongside forms, trees, charts, and other business UI components. It is also worth evaluating for existing Ext JS applications that are adopting React.
Compare ReExt with alternatives such as AG Grid, MUI X Data Grid, KendoReact, Syncfusion, and TanStack Table using the exact feature tiers and implementation requirements for your project.

Conclusion

Column locking, pivoting, export, and server-side data are features that should be tested with realistic workloads, not just checked off a marketing page.
Evaluate each feature individually, test them together, and include licensing and long-term maintenance in your decision.
Further reading: Enterprise React Data Grid Checklist: Locking, Pivoting, Export and Server-Side Data

Enterprise React Data Grid in 2026: Features, Licensing, and ReExt Integration

Vishal Porwal — Mon, 19 Oct 2026 13:33:29 +0000

A React Data Grid Enterprise can start as a simple table and gradually become one of the most important components in an enterprise application.
Think about an order management dashboard. Users may need to filter thousands of orders, edit individual records, group results by region, export reports, and compare values without leaving the grid.
At that point, choosing a grid is no longer just a UI decision. It becomes a decision about architecture, engineering effort, performance, and licensing.

This guide covers the features worth evaluating, how popular React data grids differ, and how ReExt can bring Ext JS grid capabilities into a React application.

What Makes a React Data Grid Enterprise-Ready? A basic table typically supports displaying records, sorting columns, and perhaps filtering values. Enterprise applications often need considerably more. Performance and large datasets Look for: Virtual or buffered rendering Server-side filtering and sorting Remote pagination Efficient updates to changing records Support for large numbers of rows and columns Test with realistic data volumes.

A grid that performs well with 200 rows might behave very differently with 100,000 records.
Advanced data manipulation
Evaluate whether the grid supports:
Grouping and aggregation
Multi-column sorting and filtering
Inline editing and validation
Column locking or pinning
Tree data and master-detail views
Spreadsheet-style range selection
Export and integration
Business users often expect Excel or CSV exports, clipboard support, and saved column configurations. Confirm which features are included in the license tier you intend to purchase.

How Popular React Data Grids Differ Library Approach Best fit AG Grid Dedicated data grid Teams needing a specialized grid with advanced commercial features MUI X Data Grid Grid integrated with Material UI Applications already using Material UI KendoReact Part of a component suite Teams standardizing on Telerik tools Syncfusion Broad component suite Teams wanting multiple UI components from one vendor TanStack Table Headless table logic Teams that want control over markup and styling ReExt with Ext JS Enterprise component framework integrated into React Data-heavy applications needing grids and surrounding UI components

These products have different licensing models and feature boundaries. Compare the exact version and plan rather than assuming every advertised feature is available in the free edition.

What Is ReExt? ReExt connects React applications with Sencha Ext JS components. Instead of rebuilding an Ext JS grid from scratch as a React-native table, developers can render and configure the Ext JS component within their React application. This can be useful when an application needs more than a table, including: Data grids with grouping and summaries Forms and validation Trees and hierarchical data Charts and dashboards Application layouts and panels ReExt is particularly worth evaluating for teams already using Ext JS or building data-intensive business applications. It requires the appropriate Ext JS license for production use.

4.** ReExt Coding Style:** Configure an Ext JS Grid in React
ReExt uses React props to identify the Ext JS component and configure its behavior. The xtype prop identifies the component, while config contains its Ext JS configuration.

For example:
import ReExt from "@sencha/reext";

const orders = [
  {
    id: 1,
    customer: "Acme Corp",
    region: "EMEA",
    amount: 12500
  },
  {
    id: 2,
    customer: "Globex",
    region: "APAC",
    amount: 8200
  },
  {
    id: 3,
    customer: "Initech",
    region: "EMEA",
    amount: 4300
  }
];

export default function OrdersGrid() {
  return (
    <ReExt
      xtype="grid"
      style={{ height: 420 }}
      config={{
        store: {
          data: orders,
          groupField: "region"
        },
        features: [
          { ftype: "groupingsummary" }
        ],
        columns: [
          {
            text: "Customer",
            dataIndex: "customer",
            flex: 1
          },
          {
            text: "Region",
            dataIndex: "region"
          },
          {
            text: "Amount",
            dataIndex: "amount",
            xtype: "numbercolumn",
            format: "$0,000",
            summaryType: "sum"
          }
        ]
      }}
    />
  );
}

This example demonstrates the component configuration pattern. To run it in a real project, install the appropriate ReExt package, configure ReExtProvider and the required Ext JS resources, and confirm that the configured grid features are supported by your Ext JS version and license.

Handling Grid Events
ReExt also allows Ext JS events to be exposed through React-style props. For example, an Ext JS edit event can be handled using an onEdit prop.

<ReExt
  xtype="grid"
  config={{
    // Store, columns, plugins and other settings
  }}
  onEdit={(editor, context) => {
    console.log(
      "Updated record:",
      context.record.getData()
    );
  }}
/>

The actual event arguments depend on the Ext JS event being handled. In a production application, use the event callback to validate changes and send updates to your API.

How to Compare Licensing and Total Cost
A free library can be an excellent choice, but the license price alone doesn't tell you the total cost.
Consider:
The number of developers who need licenses.
Which required features sit behind a paid tier.
The engineering time required to implement missing features.
Upgrade and long-term maintenance costs.
Whether you also need charts, trees, forms, and layouts from other libraries.
TanStack Table, for example, provides headless table logic but leaves much of the rendered interface and advanced spreadsheet functionality to your application. A commercial grid may provide more functionality out of the box, but it introduces licensing costs.
ReExt takes another approach by making Ext JS components available in React, which may reduce the need to assemble several separate UI libraries for enterprise screens.
Choosing the Right Grid for Your Application
Choose based on your requirements rather than the longest feature list.
Simple data tables: A lightweight or free grid may be enough.
Material UI applications: MUI X is a natural candidate.
Custom UI and full rendering control: Consider TanStack Table.
Advanced standalone grid requirements: Compare AG Grid and the commercial grid options.

Data-heavy enterprise screens: Evaluate ReExt if its Ext JS components, feature set, and licensing model fit your project.
The best choice is the one that meets your requirements without adding unnecessary complexity.

Conclusion

Enterprise React data grids differ most in their advanced features, licensing tiers, and how much implementation work they leave to developers.
ReExt is an option for teams that want to use Ext JS components within React, particularly when the application needs complex grids alongside forms, trees, charts, and layouts.
Before committing, test realistic data volumes, verify the required features against current documentation, and calculate the total cost of ownership.
Further reading: Enterprise React Data Grid: The Features Enterprise Teams Need, and What Each Grid Includes

Building Custom AI Agents with JavaScript, React, and ReExt

Vishal Porwal — Fri, 16 Oct 2026 13:16:28 +0000

AI coding tools are evolving beyond code completion. Developers increasingly want systems that can understand project context, interact with tools, coordinate multi-step tasks, and report their results in a way that supports real engineering workflows.

JavaScript and React provide a practical foundation for building these experiences. When an application needs richer enterprise UI components, Sencha ReExt offers a way to integrate Ext JS components into a React application.

This guide explores the architecture of a custom AI coding agent, the roles of MCP and ACP, and how ReExt can support a more capable developer interface.

1. What Is a Custom AI Coding Agent?
A traditional coding assistant might explain a function or generate a code snippet. A custom AI agent can be designed to coordinate a broader workflow.

Depending on its implementation and permissions, it might:

Inspect project files and configuration.
Retrieve relevant documentation.
Invoke approved development tools.
Analyze test results and diagnostic information.
Suggest or perform code changes.
Verify whether a task meets its acceptance criteria.

The difference is the execution workflow. The agent needs an orchestration layer that manages context, tool calls, errors, and results—not just a function that sends a prompt to a model.

Why Use JavaScript and React? JavaScript is widely used in web applications and developer tooling. React provides a component-based model for building interactive interfaces. A custom AI coding agent could use React to display:

A task input and conversation history.
Current execution status.
Tool activity and relevant logs.
Diagnostic results.
File-level findings.

Approval controls for sensitive operations.
Separating these areas into reusable components makes the interface easier to test and maintain.

3. Understanding MCP and ACP
Two protocols that may be relevant to a custom AI agent are MCP and ACP.

Model Context Protocol (MCP)
MCP provides a standardized approach for connecting compatible AI applications to tools and contextual resources.
Depending on the integration, an agent might use approved tools to access documentation, project information, or external services. Tool permissions and data access should be explicitly controlled.

Agent Client Protocol (ACP)
ACP supports communication between compatible agent clients and agent backends.
This separation can help a client interface work with supported agent implementations without embedding every backend-specific detail into the UI.
MCP and ACP solve different integration problems. Choose them according to the tools, agent runtimes, and client architecture your application requires.

4. Designing the React Interface
A useful AI coding agent interface should make the workflow understandable.

Consider dividing the application into these components:

TaskInput — accepts the developer's request.
ConversationPanel — displays messages and explanations.
ExecutionStatus — shows the current task state.
ToolActivity — displays relevant tool calls and outcomes.
DiagnosticsGrid — presents structured findings.
ApprovalPanel — supports review of actions that need authorization.

These are illustrative component names, not APIs provided by a specific library.
A chat interface is useful for explanations, but a structured grid can be better when developers need to compare many findings or filter results by severity, file, or status.

5. What Is ReExt?
ReExt connects the React development environment with Sencha Ext JS components. Ext JS provides a broad set of JavaScript UI components, including data grids, forms, and other building blocks for enterprise applications.
ReExt is particularly worth evaluating when a React-based AI tool needs a more comprehensive UI than a basic collection of custom components.
For example, an AI coding agent might need to display:

File-level diagnostics.
Test or validation results.
Tool execution history.
Structured code-analysis findings.
Task status and other operational information.

An Ext JS data grid can be a suitable option for displaying structured results when its capabilities match the requirements. A lightweight React Grid component may be sufficient for simpler needs.

The UI library does not provide the agent's reasoning or tool execution. Those responsibilities belong to the agent runtime and orchestration layer.

For additional context, see Sencha's introduction to ReExt.

6. ReExt Coding Style: Integrating Ext JS Components into React
ReExt allows developers to configure Ext JS components from React. Its component wrapper uses properties such as xtype, config, and event handlers to connect the component with the React application.

Here is a simplified example based on the documented ReExt component pattern:

import { ReExt } from "@gusmano/reext";

export default function AgentActionButton({ onRun }) {
return (
xtype="button"
config={{
text: "Run Analysis",
width: 140
}}
onClick={onRun}
/>
);
}

This illustrates the general integration style: React controls where the component appears, while the xtype and config properties describe the Ext JS component and its configuration.

Check the current ReExt documentation for the supported import syntax, event signatures, component properties, and initialization requirements for your installed version.

Keeping the code maintainable
A useful coding style separates responsibilities:

Keep React components focused on the interface.
Put agent execution and tool orchestration in dedicated modules.
Keep Ext JS component configuration organized and reusable.
Handle errors and loading states explicitly.
Validate tool results before displaying them.
Avoid allowing UI events alone to authorize sensitive operations. This structure helps prevent the interface from becoming tightly coupled to the agent's execution logic.

*7. Displaying Agent Results With a React Grid Component
*
AI agents often return structured information that is difficult to review in a conversation panel.
For example, a code-analysis workflow might produce a list of findings with file paths, categories, severity levels, and review status.
A grid could display columns such as:

An Ext JS grid through ReExt may be worth evaluating for a data-intensive enterprise interface. A smaller application may be better served by a lightweight React grid component.

Choose based on required functionality, data volume, accessibility, performance, licensing, and maintenance—not merely the number of available features.

8. Security and Reliability
An AI coding agent may access sensitive project information or invoke tools that change files and execute commands. Those capabilities require safeguards.

Consider the following:

Restrict access to files and services.
Validate tool inputs and outputs.
Protect credentials and sensitive information.
Require approval for consequential operations.
Apply execution limits and bounded retries.
Record relevant events for troubleshooting.
Treat project files and external tool responses as untrusted input.
Verify results before reporting a task as complete.

The React interface can make these controls visible, but authorization must also be enforced by the underlying execution layer.

Conclusion
Building a custom AI coding agent requires a coordinated architecture for model interaction, tool access, orchestration, and user experience.

JavaScript and React provide a foundation for the application. MCP and ACP can support different integration needs, while ReExt makes Ext JS UI components available within React applications.

For interfaces that need structured diagnostics and data-heavy views, an Ext JS grid may be worth evaluating alongside other React Grid component options.

Start with one clearly defined workflow, measure its reliability, and expand the agent's capabilities only when the execution and security controls are working as intended.

Further reading: Building Custom AI Agents with JavaScript, React, and ReExt.

Customizing JavaScript Data Grids with Ext JS Widget Columns and ReExt

Vishal Porwal — Fri, 16 Oct 2026 13:01:01 +0000

Beyond Rows and Columns: Interactive Ext JS Grids and ReExt for React Developers

A data grid can display thousands of records and still leave users doing too much work.
They may need to open another screen to adjust a setting, inspect a trend, or perform a routine action. In enterprise applications, these interruptions can slow down workflows and make even familiar tasks unnecessarily complicated.

One solution is to make the grid more interactive. Ext JS widget columns let developers place components directly inside grid cells. And for teams building with React, ReExt creates a way to use Ext JS components without rebuilding every piece of the interface.

Why traditional data grids aren't always enough

Tables are excellent at organizing information.
Rows and columns make it possible to scan large datasets and compare records.
But some tasks are easier when the interface provides more than text.
Imagine an operations dashboard where users need to monitor progress, adjust a numeric setting, and understand how performance has changed over time.
A plain grid could show a number, a status, and a historical value. An interactive grid could provide a progress bar, a slider, and a sparkline.

The distinction is simple: instead of making users leave the table to understand or change information, the grid can provide selected interactions where they are needed.

How Ext JS widget columns improve grid customization
Ext JS supports widget columns that display UI components inside grid cells.
The component can be bound to the current record so that the widget represents the data associated with that row.

Sencha's widget-column walkthrough demonstrates examples using sliders and sparklines, alongside other component options such as buttons and progress indicators.

These patterns are useful when the component communicates something meaningful.

A slider can provide a direct way to adjust a value. A sparkline can show a trend without taking up the space of a full chart.
A button can expose a relevant action next to the record it affects.
The design principle is to make interaction purposeful, not to add controls simply because the framework allows it.

ReExt: Bringing Ext JS components into React
Many teams use React to structure their applications but still need advanced, data-rich UI components.

ReExt, developed by Sencha, lets React applications use Ext JS components through a React-facing API. This creates an option for teams that want to combine React application development with Ext JS components such as grids, charts, and forms.

For example, a team could use React for routing and application-level composition while using an Ext JS grid for a data-intensive screen.
This approach can be particularly relevant when an organization already has Ext JS components or wants to evaluate them for new React-based interfaces.

ReExt coding style: Familiar JSX, powerful configuration
ReExt uses JSX syntax, with xtype identifying the Ext JS component and config carrying its Ext JS configuration.
A simplified example:

import ReExt from '@sencha/reext';

function PerformanceGrid() {
  return (
    <ReExt
      xtype="grid"
      config={{
        title: 'Performance',
        columns: [
          {
            text: 'Metric',
            dataIndex: 'metric',
            flex: 1
          },
          {
            text: 'Current Value',
            dataIndex: 'value',
            width: 150
          }
        ]
      }}
      style={{ width: '100%', height: 400 }}
    />
  );
}

This illustrates the coding style rather than a complete running application; a real grid also needs a configured data source and the appropriate ReExt setup.
The key advantage is that developers can define the component in JSX while using Ext JS configuration to describe its behavior.
Can ReExt support richer grid experiences?
ReExt provides access to Ext JS components from React, making it relevant when a project needs an Ext JS Data Grid inside a React application.
For advanced features such as widget columns, developers should verify the required configuration against the specific Ext JS version and toolkit. The original widget-column examples use Ext JS configuration, and those details remain important when integrating the functionality through ReExt.
That means teams should evaluate the complete interaction—not just whether the grid renders. Test data binding, editing, sorting, filtering, accessibility, and how widgets behave when records are updated.
Choosing between a React Grid component and ReExt
A standalone React Grid component may be the natural choice when a project is built around React-specific components and APIs.
ReExt is worth considering when a team wants to use Ext JS components within a React application, especially if reusing existing Ext JS functionality is part of the goal.
The decision should account for the application's architecture, the grid features required, the team's skills, licensing, and long-term maintenance.
Don't confuse more widgets with better usability
Interactive grids can reduce navigation and help users interpret data. They can also introduce clutter if every cell contains a control.
Choose widgets based on user needs. Use visual indicators for status, sparklines for trends, and controls for actions users genuinely perform. Keep other cells simple.
Then test the grid with realistic datasets and workflows. Performance, keyboard navigation, accessible labels, and clear feedback after edits matter as much as the visual design.

Final thoughts

A useful data grid does more than display records. It helps people understand information and complete tasks efficiently.
Ext JS widget columns provide a way to add purposeful interactions directly inside grid cells. ReExt extends the possibilities for teams building React applications by making Ext JS components available through JSX and Ext JS configuration.
For teams evaluating enterprise UI architecture, the important question isn't simply which framework has more components. It's which approach gives users the functionality they need while keeping the application maintainable.
Explore the original article: How to Quickly Customize Ext JS Data Grid — Part 5 of 6.
Learn about ReExt: ReExt Made Simple: Everything You Need to Know to Get Started.

Building Custom AI Agents with JavaScript, React, and Ext JS

Vishal Porwal — Thu, 15 Oct 2026 12:31:06 +0000

AI-powered development tools are evolving beyond code completion and conversational assistance. Modern AI agents can be designed to understand project context, interact with external tools, retrieve relevant resources, and coordinate multi-step workflows.

For JavaScript developers, this creates an opportunity to build custom AI-powered experiences directly into existing development environments.

By combining JavaScript, React, agent communication protocols, and reusable UI components, developers can create interfaces that make AI workflows easier to monitor, understand, and control.
This article explores the architecture behind custom AI agents and how React and Ext JS can contribute to the user experience.

What Is a Custom AI Agent?

A traditional AI assistant typically responds to a prompt with generated text or code. An AI agent can be designed to go further by coordinating multiple actions toward a defined objective.
Depending on its implementation and permissions, an agent might:

Inspect project files and documentation.
Retrieve information from external tools.
Help developers investigate errors.
Coordinate multi-step coding tasks.
Display execution progress and diagnostic results.
Support repeatable engineering workflows.

These capabilities depend on the agent's model, available tools, context, permissions, and execution architecture. They should not be assumed to work automatically simply because an application uses an LLM.

Why JavaScript and React Are Useful JavaScript is already widely used for web applications and developer tooling. React provides a component-based approach to creating interactive interfaces. Together, they can provide a foundation for building an AI agent interface that developers can use inside a web application or a Visual Studio Code extension.

A typical interface might contain:

A prompt or task-entry panel.
An execution-status indicator.
A conversation history.
A tool activity panel.
A structured diagnostic table.
A results view for generated recommendations.

Separating these interface elements into reusable components makes it easier to develop, test, and maintain the application.

Understanding MCP and ACP AI agent development often involves more than calling a language model API. Model Context Protocol (MCP)

MCP provides a standardized way for compatible AI applications to interact with tools and contextual resources.

Depending on the implementation, these integrations can expose documentation, project information, external services, and other approved capabilities.

Developers should carefully control which tools are available, what information they can access, and whether an operation requires user approval.

Agent Client Protocol (ACP)

ACP provides a protocol for communication between compatible agent clients and agent backends.

Using an appropriate protocol can help separate the interface from the underlying agent implementation. This can be valuable when developing client experiences that need to work with supported agent backends.

MCP and ACP have different roles: one concerns connections to tools and contextual resources, while the other concerns communication between compatible agent clients and agents.

Building the Agent Interface with React

A useful AI interface should make the agent's activity understandable instead of presenting everything as a stream of generated text.
React components can divide the interface into focused sections.
For example:
Task panel: Allows developers to describe the operation they want the agent to perform.

Conversation panel: Displays messages and relevant explanations.
Activity panel: Shows progress, tool invocations, and execution status.

Diagnostics panel: Presents structured findings, errors, and results.
Approval controls: Allow developers to review sensitive actions before they proceed.
This separation helps developers understand what the agent is doing and where human intervention may be needed.

Where Ext JS and a React Grid Component Fit In

As an agent becomes more capable, it may generate structured information that is difficult to review in a chat window.
Consider an agent that examines a project and reports deprecated APIs, failed checks, file references, or proposed changes. A structured data grid can make this information easier to filter, compare, and inspect.

Sencha's Ext JS provides enterprise-oriented UI components, including data grids. ReExt allows developers to integrate Ext JS components into React applications.

A React Grid component built with an appropriate grid library can be useful for displaying:
Tool execution history.
Diagnostic findings.
Validation results.
File-level analysis.
Task status and timestamps.
Structured output from agent workflows.

The important distinction is that Ext JS is a UI framework, not an AI agent engine. It contributes to the presentation layer; the agent's reasoning, tool execution, and permissions need their own implementation.

ReExt is worth evaluating when an application already uses React and needs Ext JS components within the same interface.

A High-Level Architecture A custom AI agent can be organized into several layers: React interface: Collects tasks and displays progress and results. Extension or application host: Manages the surrounding environment and approved interactions.

Agent orchestration: Coordinates model responses, tool calls, and multi-step execution.

Protocol integration: Uses compatible protocols such as MCP and ACP where appropriate.

Tool and data layer: Provides approved access to files, documentation, and external services.
Governance layer: Enforces permissions, approval requirements, and logging.
Keeping these responsibilities separate makes the application easier to reason about and test.

Security and Reliability Considerations

AI agents that can interact with development environments require careful safeguards.
Before deploying an agent, consider:
Restricting access to sensitive files and credentials.
Validating tool inputs and outputs.
Requiring approval for consequential actions.
Handling timeouts, failed tools, and malformed responses.
Keeping an audit trail for relevant operations.
Treating repository content and external tool responses as untrusted input.
Testing whether the agent follows the intended permission boundaries.
A polished interface is useful, but it cannot replace appropriate controls in the execution layer.

A Practical Development Roadmap

Start with a small, clearly defined workflow rather than attempting to build a fully autonomous coding system immediately.

Step 1:
Choose a task, such as reviewing project configuration or identifying deprecated API usage.
Step 2:
Build a simple React interface for submitting tasks and displaying responses.
Step 3:
Connect the agent to a limited set of tools with explicit permissions.
Step 4:
Add execution status, structured results, and diagnostic reporting.
Step 5:
Evaluate whether a React grid component or Ext JS data grid would improve the presentation of structured output.
Step 6:
Add validation, error handling, approval flows, and automated tests.
Measure the results against a baseline before expanding the agent's responsibilities.

Conclusion

Custom AI agents combine model integration, tool access, orchestration, and a clear user interface. JavaScript and React provide a practical foundation for developing these experiences, while MCP and ACP can support different parts of the integration architecture.

For agent interfaces that display structured diagnostic information, Ext JS and ReExt are worth evaluating alongside other React UI libraries.

The best design makes agent activity understandable, keeps sensitive operations under appropriate control, and gives developers the tools they need to inspect results.

Further reading: Building Custom AI Agents with JavaScript, React, and ReExt — Sencha.

CSS Grid vs React Grid Layout vs Data Grid - A React Developer's Guide

Vishal Porwal — Thu, 15 Oct 2026 11:45:31 +0000

The word "grid" appears in many React grid components, but not every grid solves the same problem.
If you're building a dashboard, choosing the right tool starts with identifying what needs to be arranged: page elements, movable widgets, or data records.

CSS Grid for layout CSS Grid is built into CSS and works well for responsive rows, columns, cards, and page sections.

.cards {
  display: grid;
  grid-template-columns: repeat(3, minmax(0, 1fr));
  gap: 1rem;
}

@media (max-width: 760px) {
  .cards {
    grid-template-columns: 1fr;
  }
}

Use it when you want the browser to handle the positioning of React components without adding another library.

React Grid Layout for draggable widgets
If users need to rearrange dashboard panels or resize charts, a static CSS layout may not be enough.
React Grid Layout is built for draggable and resizable panel interfaces.
It can manage widget positions and layouts that your application can persist.
It is a good fit for customizable dashboards, but it does not provide all the functionality of a data grid.
A data grid for records
If users need to sort, filter, edit, or group records, evaluate a dedicated data-grid library.

Examples include AG Grid, MUI Data Grid, and ReExt. ReExt integrates Sencha Ext JS components into React and may be useful when the application needs a broader enterprise UI component set.
Compare required features, licensing, accessibility, performance, and integration before deciding.

Combine the tools when necessary
An enterprise dashboard might use CSS Grid for the overall page, React Grid Layout for user-arranged panels, and a data-grid component inside one of those panels.
Each tool has a distinct job.
This separation keeps layout concerns from becoming entangled with data operations.
Test with real requirements
Before committing to a library, check:
Responsive behavior on different screen widths.
Sorting, filtering, and editing for representative data.
Panel resizing and layout persistence.
Keyboard navigation and accessibility.
Rendering performance and dependency size.
Licensing and ongoing maintenance.
Do not assume a library is faster or more capable simply because its name contains "grid."
Test the specific features your application needs.

Final takeaway
Use CSS Grid for page layout, React Grid Layout for draggable and resizable dashboard panels, and a data-grid library for tabular interactions.
For a more detailed walkthrough, read How to Use a Grid Layout With React.
Question for React developers: Which approach do you use for complex dashboards, and what has been the biggest challenge when combining layout libraries with data grids?

How to Choose a React Grid Component for Modern Web Applications

Vishal Porwal — Wed, 14 Oct 2026 12:13:42 +0000

Grids are essential building blocks in modern web applications. They help developers organize page layouts, build interactive dashboards, and present structured data in a format users can easily understand.

However, choosing a React grid component is not always straightforward. Some libraries focus on responsive page layouts, others support draggable dashboard panels, and specialized data-grid solutions provide functionality for sorting, filtering, editing, and displaying large datasets.
Understanding these differences is the first step toward selecting the right tool.

Understanding the Different Types of Grids in React

Before selecting a library, identify the problem your application needs to solve.
CSS Grid for responsive layouts
CSS Grid is a native browser layout system for arranging content into rows and columns. It works well for dashboards, card layouts, page sections, and responsive application interfaces.

For example:
.dashboard {
display: grid;
grid-template-columns: repeat(3, minmax(0, 1fr));
gap: 16px;
}

@media (max-width: 768px) {
.dashboard {
grid-template-columns: 1fr;
}
}

This approach requires no additional grid library and provides direct control over the layout.
However, CSS Grid does not provide built-in data-management features such as column sorting, filtering, or inline editing.

React Grid Layout for interactive dashboards
React Grid Layout is designed for interfaces where users can move and resize dashboard panels.

It is useful for analytics dashboards, customizable workspaces, and applications where users need to arrange widgets according to their preferences.

It solves a different problem from a data grid: it controls the position and dimensions of interface panels rather than the presentation and management of tabular records.

Ext JS for enterprise data grids

For applications that work with complex datasets, an enterprise data grid may be a better fit.

Sencha's Ext JS provides a JavaScript UI framework with data-grid capabilities and other enterprise components. Through ReExt, developers can integrate Ext JS components into React applications.
This approach is worth evaluating when the application requires advanced data presentation, reusable enterprise UI components, and a consistent component ecosystem.

What Should You Look for in a React Grid Component?

The right choice depends on your application requirements. Evaluate the following areas before committing to a library.
Data handling: Does the grid support the required sorting, filtering, pagination, grouping, and editing features?
Performance: How does it behave when rendering large datasets? Does it support virtualization or other techniques that reduce unnecessary rendering?

Responsive behavior: Can the interface adapt to smaller screens without making important data difficult to access?
Customization: Can you adjust columns, styles, themes, and interactions to match your application's design system?
Integration: Does the component fit your existing React architecture and data-fetching approach?

Maintenance: Review documentation, release history, compatibility, support options, and licensing.

A grid that is easy to configure initially may not be the best choice if it becomes difficult to maintain as the application grows.

When Should You Consider Ext JS?

Ext JS is designed for building data-intensive enterprise web applications. Its grid component is worth evaluating when users need to work with structured business data through sophisticated tables and related UI components.

Depending on the applicable version and configuration, relevant requirements may include:
Sorting and filtering records.
Editing data within a grid.

Working with complex columns and data presentation.
Building dashboards and business-oriented interfaces.
Integrating grids with other UI components.

Supporting applications with demanding data-management workflows.
For React teams, Sencha's ReExt provides an integration path for using Ext JS components within React applications.

The main advantage of evaluating a comprehensive component suite is that it may reduce the need to assemble multiple separate UI libraries. The trade-offs include commercial licensing, product-specific conventions, and the need to verify compatibility with your current stack.
Read the original guide: How to Use a Grid Layout with React.

React Grid Layout vs. Ext JS Grid

These tools should not be treated as direct substitutes.
Requirement
Suitable starting point
Responsive page structure
CSS Grid
Draggable and resizable dashboard panels
React Grid Layout
Interactive, data-heavy tables
Ext JS Grid or another dedicated data-grid library
Enterprise React application with broader UI needs
Evaluate Ext JS through ReExt alongside alternatives

For example, an analytics application might use CSS Grid to organize its overall page, React Grid Layout to let users customize dashboard panels, and a data-grid component inside one of those panels.

Combining tools can be appropriate when each has a clearly defined responsibility.

How to Make a Grid Perform Better Regardless of the library, a few engineering practices can improve the user experience.

Avoid loading unnecessary data

Fetch only the records needed for the current view when the application and backend support it. Server-side filtering and pagination can reduce the amount of data transferred and processed.
Use virtualization when appropriate

For very large tables, rendering every row simultaneously may create unnecessary DOM and rendering work. Row or column virtualization can help, depending on the grid's implementation and requirements.

Keep columns readable

Responsive design should preserve access to important information. Consider flexible column sizing, prioritizing key fields, and providing appropriate ways to inspect secondary data on smaller screens.

Measure before optimizing

Use realistic datasets and production builds to measure rendering performance, scrolling behavior, bundle size, and interaction responsiveness.

Conclusion

Choosing a React grid component begins with identifying what kind of grid your application actually needs.

CSS Grid is an excellent starting point for page layouts. React Grid Layout is useful for customizable dashboard panels. For applications requiring sophisticated data tables and enterprise UI functionality, Ext JS is another option to evaluate through Sencha's ReExt integration.

Rather than choosing a library based only on popularity, compare its capabilities, performance, customization, licensing, and long-term maintenance requirements against your real use cases.
Further reading: How to Use a Grid Layout with React — Sencha.

Building Responsive React Applications: Layouts, Components, and Enterprise UI

Vishal Porwal — Wed, 14 Oct 2026 12:04:09 +0000

**Responsive design is an essential part of modern React JS Framework application development. Users expect web applications to work smoothly on desktop monitors, tablets, and mobile devices, while developers need to maintain consistent behavior, performance, and usability across different screen sizes.

However, building a responsive React application involves more than adding CSS media queries. Complex interfaces often require reusable layouts, advanced data grids, interactive forms, charts, navigation components, and a maintainable styling strategy.
This is where choosing the right React component library can make a meaningful difference.

Why Responsive React Development Can Become Complex React provides a component-based approach to building user interfaces, but developers still need to select or create the UI components their applications require. For a simple website, basic HTML elements and CSS may be sufficient. An enterprise React application can have significantly more demanding requirements, including:

Data-heavy dashboards and reporting interfaces.
Tables with sorting, filtering, and pagination.
Complex forms with validation.
Navigation systems and nested layouts.
Consistent behavior across different screen sizes.
Reusable components that are easier to test and maintain.
Building every component independently can increase development effort and create additional maintenance responsibilities.

Responsive Layouts Start With the Right Strategy A responsive React application should adapt its layout to the available space instead of simply shrinking the desktop interface. Consider these practical techniques:

Use flexible layouts. CSS Flexbox and Grid help organize components according to the available space.

Define sensible breakpoints. Adjust navigation, columns, spacing, and component arrangements when the interface no longer fits comfortably.
Prioritize content. On smaller screens, show the information users need most and avoid forcing every desktop feature into a narrow layout.
Test real interactions. A layout may look correct while still creating problems with scrolling, touch targets, dialogs, or data tables.
Responsive behavior should be designed into the application rather than treated as a final styling task.

How ExtReact Fits Into React Application Development ExtReact is Sencha's React-oriented UI component offering, designed to bring Sencha components into React applications. It is relevant to teams that need more than basic interface elements, particularly when building data-intensive enterprise applications.

Depending on the applicable product version and licensing, its component-oriented approach can help developers work with features such as:

Data grids and data-oriented interfaces.
Forms and input components.
Charts and visualizations.
Panels, navigation, and layout components.
Responsive interfaces for different screen sizes.
Customizable themes and component styling.

The main consideration is whether a comprehensive component suite matches your application's requirements better than assembling individual libraries.

Explore the original Sencha discussion: ExtReact: Building Responsive React Applications — Your Questions Answered.

React Component Libraries vs. Building From Scratch: There is no universal winner. The right approach depends on the complexity of your application and the capabilities your team needs.

Building custom React components
Custom components offer maximum control over behavior, styling, and dependencies. This approach can work well when the interface is relatively simple, or the design requirements are highly specialized.
The trade-off is the ongoing effort required to implement, test, document, and maintain more complex components.

Using open-source React UI libraries
Open-source libraries can provide common interface elements quickly and may be a good fit for teams that prioritize flexibility and community-driven development.

However, a project that combines several libraries may need additional work to keep their visual styles, interaction patterns, accessibility, and upgrade cycles consistent.
Using an enterprise component suite

A comprehensive suite may be worth evaluating when an application relies heavily on data grids, complex forms, charts, and reusable layouts.

Sencha's ExtReact is one option in this category. Teams should evaluate its current support status, framework compatibility, licensing, documentation, and feature coverage before selecting it.

Don't Ignore State Management and Architecture

A UI component library should complement your React application's architecture rather than dictate every architectural decision.
Consider the following principles:
Keep application state separate from presentation where appropriate.
Choose state management based on actual application needs.
Use reusable components with clear responsibilities.
Avoid unnecessary coupling between UI components and business logic.
Establish consistent data-fetching and error-handling patterns.
The original ExtReact Q&A also discusses state management approaches, including Redux and component-level state. These examples provide useful architectural context, but developers should verify that implementation guidance matches their current software versions.

Make Theming and Maintainability Part of the Decision A responsive interface must remain visually consistent across screens and throughout the application's lifecycle. Before adopting a component library, assess whether it supports your design system, custom themes, accessibility requirements, and long-term maintenance expectations. Also consider production bundle size, loading performance, browser support, and how easily developers can troubleshoot component behavior. A component library that accelerates the initial build but creates upgrade or customization problems may not be the best long-term choice.
A Practical Checklist for Choosing a React UI Library Before making a decision, ask: Does it support the components our application actually needs? Can layouts adapt effectively to desktop, tablet, and mobile? Does it integrate with our React version and build tools? Can we customize the design without fragile workarounds? Are accessibility and keyboard interactions adequately supported? Is the licensing model appropriate for our business? Are documentation, support, and upgrade paths suitable for our project? Answering these questions will help you select a solution based on engineering requirements rather than popularity alone.

Conclusion

Building responsive React applications requires a combination of thoughtful layout design, reusable components, sound architecture, and careful testing.
For straightforward projects, custom components or lightweight open-source libraries may be sufficient. For data-intensive enterprise applications, a comprehensive component suite such as Ext JS may be worth evaluating.
The best choice is the one that meets your functional requirements, supports your development workflow, and remains maintainable as your application grows.
Further reading: ExtReact: Building Responsive React Applications — Your Questions Answered.