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Vishal Porwal
Vishal Porwal

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JS Days 2026: React, Ext JS, ReExt, and AI — Two Days of Free Technical Sessions From Practitioners in Production

React, Ext JS, ReExt, and AI are no longer separate conversations.
Modern JavaScript development teams are working across all of them simultaneously — integrating AI capabilities into React applications, bridging Ext JS and ReExt architectures, and managing the long-term maintainability of systems that combine multiple frameworks and tooling decisions made years apart.
The challenge is no longer understanding what these technologies do individually. It is understanding how to apply them together, responsibly, across production applications that need to remain performant and maintainable over the long term.
That is the context in which JS Days 2026 takes place. Sencha's free virtual JavaScript conference, scheduled for September 16–17, 2026, brings together developers, software architects, and engineering leaders to explore the technologies and architectural decisions shaping modern web applications.
Rather than presenting isolated product demonstrations, the program is designed around the questions practitioners are already working through in production. For developers working across React, Ext JS, ReExt, and AI — this year's agenda offers several sessions worth examining closely.
Building AI Agents With JavaScript, React, and ReExt
Over the past year, AI has moved from experimentation into production planning at many organizations. Development teams working with React and ReExt are increasingly being asked to integrate AI capabilities into existing applications — a task that raises real questions around architecture, maintainability, and long-term governance.
A featured session presented by Marc Gusmano, Sales Engineer at Sencha, examines how JavaScript, React, and ReExt can be used to build custom AI agents through practical implementation patterns rather than theoretical examples.
The discussion addresses real integration considerations — from architectural decisions to the challenges of moving AI features from experimentation into production environments. For developers navigating similar demands within their own organizations, the session provides context that documentation and tutorials typically do not cover.
AI-Driven Logic in the JavaScript DataGrid
Combining AI capabilities with enterprise-grade data grid functionality represents one of the more practical integration challenges facing JavaScript teams today.
Andres Villalba, Sales Engineer at Sencha, presents a session on building AI-driven grading logic directly with the JavaScript DataGrid — examining how intelligent processing can be layered into data-heavy interfaces built on Ext JS and ReExt without compromising the performance and reliability those interfaces require in production.
For teams working on applications where data classification, intelligent sorting, or AI-driven decision logic are requirements, the session examines implementation approaches that hold up at scale.
Generating Live Ext JS Applications From Existing Databases
For enterprise teams managing established data infrastructure, building modern interfaces on top of existing databases is a recurring challenge — one that AI is beginning to address in practical ways.
Pavel Perminov, Solo Founder and Developer at Indi Engine AI, demonstrates how AI can generate live Ext JS applications directly from existing databases — reducing the time and effort required to surface organizational data through modern, functional interfaces built without starting from scratch.
For organizations looking to modernize data-driven Ext JS applications without full rebuilds, this session addresses a genuine production challenge from a genuinely new angle.
Handling Large Data Across Ext JS and Enterprise Environments
Performance at scale remains one of the defining challenges of enterprise JavaScript development — particularly for applications built on Ext JS managing datasets that would overwhelm standard rendering approaches.
Rafael Méndez, Sencha MVP, shares practical techniques for managing large datasets efficiently in Ext JS applications. The discussion covers rendering strategies, architectural patterns, and the implementation approaches that allow Ext JS applications to stay responsive when handling the kind of data volumes common in analytics dashboards, financial reporting tools, and real-time monitoring systems.
For developers responsible for Ext JS applications that need to scale beyond their original design, this session provides the kind of practical guidance that emerges only from real production experience.
Building Enterprise Dashboards for Complex Industry Use Cases
Enterprise dashboards built on Ext JS are only as effective as their ability to handle the real complexity of the industries they serve.
Wemerson Januario, Developer Advocate at Sencha, walks through how Ext JS dashboards address the specific data requirements of supply chain and fleet management applications — two domains where real-time data visibility, large datasets, and complex operational logic are standard requirements rather than edge cases.
Rather than focusing on generic UI patterns, the session examines the implementation decisions that matter when building Ext JS dashboards for genuinely complex enterprise environments where data accuracy and interface responsiveness directly affect business operations.
Insights From a Production Application
Some of the most instructive lessons in software engineering emerge only after a product reaches production. Case studies from real applications reveal architectural trade-offs, implementation challenges, and the practical decisions that documentation rarely captures.
César Martell, Software Developer, presents a detailed walkthrough of a real recruitment application at JS Days 2026 — examining the technical decisions made throughout the development lifecycle and the lessons learned along the way.
For architects and senior developers making architectural choices for growing JavaScript applications, these observations often provide the most applicable reference points for similar decisions within their own organizations.
Making AI Analytics Safe for Enterprise Environments
Deploying AI analytics in enterprise environments introduces challenges that go well beyond implementation. Governance, auditability, and reliability become critical requirements the moment AI-driven insights start informing business decisions — regardless of which JavaScript framework sits underneath them.

Stephen Ball and Montana Mendy from Yellowfin close the conference with a session on making AI analytics safe and simple for enterprise JavaScript developers — addressing the practical challenges of deploying intelligent analytics in environments where data integrity and compliance are non-negotiable requirements.
For engineering leaders evaluating AI analytics integration across React, Ext JS, or ReExt applications, this session examines the technical and organizational considerations that determine whether AI-driven insights can be trusted in production.

A Conference Designed Around Technical Conversations
Technical conferences are most valuable when they create opportunities for discussion, not just presentations.
In addition to expert-led sessions, JS Days 2026 includes live Q&A and open discussion rooms where attendees can engage directly with speakers, explore implementation challenges, and exchange ideas with JavaScript developers from around the world.
Day 1 focuses on structured sessions covering AI integration, application generation, and enterprise dashboard development across Ext JS and ReExt.
Day 2 shifts toward AI-driven data logic, large data handling techniques, and safe AI analytics deployment — with expanded time for community discussion and interactive exchange.
These conversations often extend beyond individual technologies to address broader engineering topics — architecture, maintainability, performance, and the practical realities of building production JavaScript applications across multiple frameworks simultaneously.

Content That Remains Relevant Long After the Event
The individual sessions at JS Days 2026 cover React, Ext JS, ReExt, and AI across a wide range of engineering disciplines. Together they reflect a broader theme.
They address the practical challenges facing JavaScript teams working across these technologies in production — from integrating AI responsibly into React and ReExt architectures, to handling large datasets in Ext JS and learning from real development experience that documentation rarely captures.

Whether you are an experienced software architect, a frontend engineer managing cross-framework complexity, or a developer responsible for enterprise applications built across multiple JavaScript technologies — the program is designed to provide technical insights that remain applicable long after the conference concludes.

Event Details
JS Days 2026
Dates: September 16–17, 2026
Format: Fully virtual
Cost: Free

Registration requires only a short online form at jsdays.io.
Once registered, attendees will receive agenda updates, speaker announcements, and event access information ahead of the conference.
JS Days 2026 is organized by Sencha, part of Idera, Inc. — the team behind Ext JS, ReExt, and GXT. For decades, Sencha has helped organizations build secure, scalable, enterprise-grade JavaScript applications across industries including financial services, healthcare, manufacturing, government, and enterprise software. Today, Sencha technologies are trusted by more than 2 million developers and 150,

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