DEV Community: srujan G

OpenClaw: The New AI Automating Agent

srujan G — Tue, 17 Feb 2026 14:08:42 +0000

AI is emerging rapidly from text and image generation, text to video creation, AI agents, and now a recent powerful automating agent called ClawDBot.

This week, I was supposed to write about letter E from my A-Z Technology series, but I couldn’t resist highlighting another exciting technology under letter C.

Today, this article explores a high-level view of ClawDBot.

What is ClawDBot?

Officially OpenClaw. It is an open-source AI agent that runs on your own computer. Unlike present chatbots, Clawdbot has direct control over your computer’s local files, browser, and terminal, which can help it to perform tasks like managing tasks, sending emails, or coding via your personal apps like Telegram, WhatsApp, and Discord through phone.

In simple terms, ClawDBot eliminates the manual process that allows you to create an AI agent using prompts.

How ClawDBot works?

ClawDBot can’t work on browser; it is an AI assistant built to run in a Linux environment.

To install this software, WSL and Node.js are the two prerequisite software’s to be installed on your local computer.

WSL (Windows Subsystem for Linux): Provides Linux environment.
Node.js: It needs to be installed on WSL. Runs ClawdBot’s backend.
Once the prerequisites are installed, you can configure the ClawdBot on WSL.

Principles of ClawDBot:

It can access all the files present in your system.
The best thing is you can interact with it through chat apps like WhatsApp, Telegram, Discord, Twitter, etc.
You can call this bot by giving a nickname; it remembers you.
Once you assign a task to it, it will plan and execute the task by itself.
It doesn’t forget your conversations, because it has persistent memory.
It can also browse the web, fill forms and extract data from any site.

Benefits of ClawDBot:

Saves time by automating tasks and minimizes human errors.
Keeps memory of all your tasks and conversations.
It is easy to use once configured.
Automatically checks emails and notifies you the important ones.
Multiple AI chatbots can be used depending on your use case within this bot.
Integrated with 15+ apps, so that you can use this bot.

Limitations of ClawDBot:

As it is built on Linux environment, your system should either be Linux/macOS or you need to install WSL on Windows.
Only give permission if you completely trust, as it can access and delete all files from your system.
Using AI models like ChatGPT, Claude, etc., for long-running tasks or complex agent loops can become expensive.

Conclusion

Ideal for small tasks with scoped permissions via VM or sandbox for safety. Full access risks data exposure — start limited and monitor closely.

Engagement Question

Would you try ClawDBot for your daily tasks? Why or Why not?

Data Engineering: The Backbone of Structured Data

srujan G — Tue, 10 Feb 2026 16:04:44 +0000

Ever thought who’s behind every structured data? Data Engineers are the invisible heroes who are making it possible.

Welcome back to my A-Z Technology series! Today let’s explore the letter D.

This article provides a high-level overview of what, where, and why data engineering matters.

What is Data Engineering7

Data Engineering is a combination of designing, maintaining, and building scalable data pipelines and infrastructure to extract, store, process and transform unstructured data into structured data.

Real-world analogy

Think of the Library as a storage container. The books in the library act as data. Every time new books arrive, they are messy and unorganised. Later, the books are organised in a structured manner, such as genre-specific. Similarly, unstructured data is messy; the process of transforming it into structured data is data engineering.

Why does Data Engineering exist?

I always wondered why data engineering exists until I landed in one of the data engineering projects. At that time, I learned many things about data engineering. It’s more than building pipelines and turning messy data into structured data. It can extract data from multiple sources, such as on-premises systems, cloud platforms, databases, and data warehouses. The data can be used by businesses, analysts, dashboards, or machine learning models immediately.

Data engineering helps extract and process the data automatically, which can reduce human errors. There are several pipelines, including Batch, Streaming, ELT/ETL, and Change Data Capture (CDC) pipelines, etc., which automate the process.

How Data Engineering works (high-level)

At a high level, I always used to think data engineering was just about moving data from one system to another. Over time, I realised it’s more than moving the data. The responsibilities of a Data Engineer start with raw data from different sources. One thing to remember is that the data often gets raw and rarely receives clean or consistent.

The first job starts with extracting the raw data without modifying source systems. The arrival of data might be ingested in batches or streamed continuously, depending on the use case. The data is not structured even after it reaches the target system. The actual process begins in the silver layer, where the data is gradually cleaned, validated and transformed.

Each layer has its own purpose first layer focuses on preserving the raw data, the second layer on improving data quality, and the third layer on making the data ready for analytics or reporting.

You may encounter difficulties in the process, such as data arrival being delayed, unexpected schema changes, and handling pipeline failures. Working with these issues, fixing data quality problems, and ensuring reliability is a big part of what data engineers actually do day to day.

Over time, this made me realize that data engineering isn’t just about tools or pipelines. It’s about building systems that people can trust, so that the data is available, accurate, reliable and ready whenever it’s needed.

Where is Data Engineering used?

Data Engineers build the foundation for meaningful data. Any system that collects, stores, and processes data relies on data engineering.

Data Engineering plays a key role in many areas:

Business Intelligence (BI): Reliable datasets.
Finance: Structured data supports risk management, fraud detection, and strategic decision-making.
Machine Learning: Providing cleaned datasets to data scientists to train AI models.
Retail & E-commerce: For inventory & supply-chain optimization and maintaining operational efficiency.
Healthcare: Improves data accessibility.
Government: Uses data responsibly to improve societal outcomes.
Transportation: Manages movement, tracking, and planning data.

What deeper topics are intentionally left out

ETL/ELT process
File Formats
Data Warehousing

Engagement question

Which area of data engineering do you find most interesting?

I'd be grateful to hear your thoughts!!

Cybersecurity: Protection from Cyber Threats

srujan G — Tue, 03 Feb 2026 15:15:54 +0000

Ever imagined what would happen if cyber attackers increase and people are affected? That’s when cybersecurity comes into the picture.

Welcome back to my A-Z Technology series! Today let’s explore the letter C.

This article introduces cybersecurity, explores why it matters, and shows how it fits into the real world.

What this article covers

What is cybersecurity?
Real-world analogy
Why does cybersecurity exist?
How cybersecurity works (high-level)
Where is cybersecurity used?
What deeper topics are intentionally left out

What is Cybersecurity

Cybersecurity is the practice of protecting systems, networks, digital devices, and sensitive data from threats such as hacking, malware, phishing, and, more recently, attacks powered by artificial intelligence (AI).

Overall, cybersecurity is the key to risk management strategy, and specifically, cyber risk management.

Real-world analogy

Gmail 2-Factor Authentication

Every time you log in to Gmail, it asks for 2-Factor Authentication to protect your password. Think of a password as the key to your house; if someone steals it, authentication acts as the security guard who asks for a second form of ID from the person before entering the house. Even if the hacker has your password, they cannot get in without the authentication. This extra layer protects and makes it harder for cybercriminals to break in. This is a real-world example of how cybersecurity works.

Why does cybersecurity exist?

Cyberattacks can disrupt, damage and even destroy businesses. Security breaches can lead to identity theft, extortion and the loss of sensitive information affecting both individuals and organizations.

Benefits of Cybersecurity:

Protects business from Cyber attacks.
Safeguards sensitive information
Mitigates financial losses
Builds trust
Operational efficiency

How cybersecurity works (high-level)
Cybersecurity systems detect, examine, and fix potential system weaknesses and vulnerabilities before hackers or malicious software exploit them.

Multi-layered security: Organizations use multiple security layers, which include network security, endpoint security and application security.
Data Protection: Encryption converts data into unreadable formats, ensuring confidentiality.
Proactive Prevention: Updating software regularly and patching known vulnerabilities, reducing attack surfaces
Antivirus/Anti-malware: Helps systems detect and block malicious software.
Firewalls: Controls incoming and outgoing traffic.

Where is cybersecurity used?

Cybersecurity is used wherever digital technology exists to protect data and systems from malicious attacks or damage.

Individuals: Protecting personal smartphones and computers.
Business & Corporate Sectors: Securing intellectual property, customer data, and financial transactions.
Healthcare: Securing patient medical records and hospital systems
Financial Services: Safeguarding online banking applications and payment gateways.
Government: Protecting national security data.

Recent Global Security Breaches:

In early 2026, a 96GB unencrypted database breach was discovered, exposing 149 million login credentials for platforms such as Gmail, Facebook and Netflix.
In 2025, a leak exposed login credentials from big organizations such as Google, Apple, Facebook, GitHub, and Telegram.
In 2018, 1.1 billion Indian citizens’ identification data were exposed.
In 2017, Notpetya, a new type of ransomware attack, caused over $10 billion in damages, affecting global businesses. and many more…

What deeper topics are intentionally left out

Encryption and Cryptography
Endpoint security
Authentication and Access Control

Engagement Question?

Which precautions do you take to protect your data?

What is Blockchain? A Simple Guide for Beginners

srujan G — Tue, 27 Jan 2026 13:49:05 +0000

Blockchain has evolved from a niche buzzword into one of the most in-demand technologies of our time.

Imagine a world where money, contracts, and even digital art can be traded without the need for banks, intermediaries, or concerns about trust. But everyone can still see and verify each transaction. Welcome to Blockchain.

Welcome back to my A-Z Technology series! Today let’s explore the letter B.

This post introduces Blockchain. What it is, why it exists, and where it fits in today’s technology.

What this post covers

What is Blockchain?
Real-world analogy
Why does Blockchain exist?
How Blockchain works (high-level)
Where Blockchain is used
What deeper topics are intentionally left out

What is Blockchain

Blockchain is a type of immutable digital ledger, a secure, decentralized distributed database that records transactions. Information is stored across a network of computers. Each transaction is recorded in blocks, and each block links to the one before it, forming a chain. Once recorded, the data is nearly impossible to alter.

Real-world analogy

The Infinite Cargo Train

Think of blockchain as a train made up of cargo cars, where each car carries a list of verified transactions. Once the car is filled, it is locked, labelled, and permanently coupled to its previous car, forming a chain.

Many inspectors along the railway have identical records of the train, so if someone tries to alter the contents of any car, the mismatch would be immediately detected. Because no single inspector controls the train and every car must match the existing chain, the system remains secure, transparent and resistant to tampering.

Why does Blockchain exist

Blockchain exists to solve the “Trust Problem” (also known as the Byzantine Generals Problem in computing).

Its core purpose is to create a verified, unchanged history for digital assets and information, ensuring integrity and accountability without relying on a central authority. With cryptography and distributed consensus, blockchain replaces trust in people or institutions with trust in code, enabling strangers to transact safely and reliably without needing to know or trust one another.

Benefits of using Blockchain:

Greater trust
Enhanced security
Better traceability
Increased Efficiency
Automated transactions

How Blockchain Works

You might be familiar with spreadsheets or databases. A blockchain is similar in that it stores information, but it is a distributed and immutable ledger that records transactions securely and transparently.

- Records transactions as blocks: On a blockchain, each transaction is recorded as a block of data. Each block of data represents the details of who, when, what, where, and the transaction amount.

- Connection between blocks: Every block is connected to its previous one, forming a secure chain of data. The chain is done through cryptographic hashes, unique identifiers for each block. The block’s hash not only represents its own data but also incorporates the hash of the previous block, ensuring the exact sequence of each transaction.

- Formation of an immutable chain: As blocks continue to be added, they form an irreversible chain known as a blockchain. Each new block references the previous one, strengthening the integrity of the entire blockchain. Once a block is added, it cannot be altered without consensus of the network, which is why blockchain is a highly trusted and transparent ledger.

Where Blockchain is used

Capital Market: Unlocks easier, cheaper and faster access to capital.
Digital Identity: Protects against theft and provides individuals greater control over their data.
Energy and Sustainability: Increases efficiency and reduces costs associated with oil and gas operations and distribution.
Finance: Enhances the efficient digitization of financial instruments, which increases liquidity and reduces counterparty risk.
Government and the public sector: Builds trust, improves accountability, creates high-performing government functions with more secure, agile and cost-effective structures.
Supply Chain: Track goods, verify authenticity, and automate payments.

and many more…

What this post didn’t cover

Each topic requires a separate post

Architecture of Blockchain
Core fundamentals of Blockchain
dApp frameworks

Engagement Question

Which everyday activity could blockchain make easier or safer?

How Augmented Reality is Transforming our Everyday Life

srujan G — Tue, 20 Jan 2026 15:26:47 +0000

AI may be the most in-demand technology today, but this series begins with AR. An equally transformative technology that shaped the path before AI and will continue to matter beyond it.

Welcome back to my A-Z Technology series! Today let’s explore the letter A.

This post introduces AR (Augmented Reality). What it is, why it exists, and where it fits in today’s technology.

What this post covers

What is AR?
Real-world analogy
Why does AR exist?
How AR works (high-level)
Where AR is used
What deeper topics are intentionally left out

What is AR

Augmented Reality (AR) is when digital objects are added to the real world around you.

You are not leaving the real world; instead, you are just adding extra information or objects to it using a phone, tablet, or smart glasses.

Real-world analogy

Think of AR like subtitles for the real world.

Suppose you are watching a movie in a language other than your native language. Subtitles enhance the movie experience. Similarly, AR doesn’t replace reality; it adds useful subtitles to what you already see.

Why does AR exist

Augmented Reality exists to make digital information more contextual, interactive and intuitive.

It enhances our perception of the real world by adding digital information on top of it. Unlike Virtual Reality (VR), which replaces reality entirely, AR adds digital objects, data or visual cues that we see daily.

Benefits of using AR:

Improves efficiency and enhances training.
Enables remote collaboration.
Enriches customer experiences.
Reduces operational and development costs and increases efficiency.

How AR works

Augmented Reality plays a crucial role in bringing the virtual and physical worlds together. It begins with a camera-equipped device such as a smartphone, tablet, or smart glasses loaded with AR software. These devices are equipped with cameras, sensors (like accelerometers and gyroscopes), and displays that capture the user’s surroundings, detect movements, and present augmented content.

Augmented Reality needs specific components to create a truly realistic and immersive experience:

Input Devices: This component includes cameras and sensors used to capture the real-world environment, after which the data is sent for processing.
Computer Processors: After receiving data from input devices, it will be processed using algorithms to track the location and objects in the real-world environment, allowing digital objects to be placed accurately. Objects are also rendered before being integrated into the physical environment.
Output devices: These are also known as screens that show the combined digital and physical worlds for a picture-perfect augmented reality experience.

Where AR is used

Augmented Reality is used in various sectors

Gaming & Entertainment: Interactive gaming experiences.
Education: Complex simulations and interactive learning.
Retail & Shopping: Virtual try-ons & product visualisation.
Tourism & Travel: Interactive historical overlays.
Healthcare: Medical training and assisting surgeons with overlaid patient data.
Real Estate: Virtual property tours.
Design & Architecture: Visualising building designs.
Logistics: Reducing errors and identifying shipments.
Agriculture: Real-time monitoring of crops and equipment.
Navigation: Real-time navigation overlaid on reality.

What this post didn’t cover

Technical implementation details, such as AR SDKs.
Limitations and challenges.
Marker-based vs. Markerless AR systems.
The future of AR and its integration with IOT, AI, and the metaverse.
AR development tools, programming languages and frameworks.

Engagement Question

Where do you see AR impacting your daily life?

A-Z Technologies Explained: An Introduction

srujan G — Sat, 10 Jan 2026 14:41:07 +0000

Technology moves fast. New tools, frameworks, and buzzwords appear every day, often faster than most people can keep up with. It’s easy to hear about technologies without truly understanding what they do or why they exist.

This post introduces the A–Z Technologies series — why it exists, how it works, and what readers can expect from the upcoming posts, which break down technologies one letter at a time in a structured format.

Why does this series exist?

This series is designed to understand the technologies focused on clarity. The goal is to help readers understand not just how the technology works but why it exists and where it fits in the broader tech landscape.

Real-World Analogy

Imagine walking into a massive hardware store where every aisle is filled with unfamiliar tools. You recognize some names, others sound important, and many feel complex. Trying to understand everything at once would be overwhelming.

The A–Z Technologies series works like a guided walkthrough of that store. Instead of throwing every detail at you at once, it breaks down technologies one at a time — explaining what each one is, why it exists, and what purpose it serves.

How this Series works

Technologies are explained one at a time, following alphabetical order.
Each post focuses on a single technology or concept and follows a structured format.
Every post contains a high-level understanding, without unnecessary technical depth.
Posts are independent, so readers can start from any letter.

Where this series is used

This series is used for:

Beginners who want to start their journey in that technology.
Students looking for brief explanations.
Non-technical readers who want to explore modern tech.
Professionals revisiting fundamentals

What this Post didn’t cover

This post doesn’t cover any specific technology yet. This is just an introduction to my upcoming series: A-Z Technologies series.

That real exploration begins from my next post, starting with the first letter of the alphabet.

Stay tuned for the first post in the series.