DEV Community: ANIRUDDHA ADAK

Hello, I am Aniruddha Adak

ANIRUDDHA ADAK — Sun, 05 Jul 2026 06:21:53 +0000

Kolkata based full stack developer and AI agent engineer who loves building useful things

I am in my final year of B.Tech in Computer Science at Budge Budge Institute of Technology, and I have been freelancing since 2021. My day starts with code, coffee and curiosity about how AI agents can make work simpler.

My profiles across the web

☆ LinkedIn – linkedin.com/in/aniruddha-adak
☆ GitHub Org – github.com/AniruddhaAdak
☆ GitHub Main – github.com/aniruddhaadak80
☆ X / Twitter – x.com/aniruddhadak
☆ DEV.to – dev.to/aniruddhaadak
☆ CodePen – codepen.io/aniruddhaadak
☆ Portfolio v1 – aniruddha-adak.vercel.app
☆ Portfolio v2 – aniruddhaadak.vercel.app
☆ Email – aniruddhaadak80@gmail.com
☆ Telegram – t.me/aniruddhaadak
☆ Linktree – linktr.ee/aniruddha.adak
☆ Beacons – beacons.ai/aniruddhaadak
☆ Hoo.be – hoo.be/aniruddhaadak
☆ Facebook – facebook.com/aniruddhadak
☆ Instagram Main – instagram.com/aniruddhadak
☆ Instagram Alt – instagram.com/aniruddhaaadak
☆ Threads Main – threads.com/@aniruddhadak
☆ Threads Alt – threads.com/@aniruddhaaadak
☆ YouTube – youtube.com/@aniruddha-adak
☆ Product Hunt – producthunt.com/@aniruddhaadak
☆ Pinterest – pinterest.com/aniruddhadak
☆ Twitch – twitch.tv/aniruddhaadak

Experience

✧ Freelance Full Stack Developer since 2021, delivering React and Next.js interfaces optimized for performance
✧ Software Development Intern at TechSolutions Pvt Ltd, June to August 2024
✧ B.Tech CSE student at BBIT Kolkata from 2022 onward, final year now

Skills and proficiency

I rate myself honestly because it helps me grow

☆ JavaScript – 95 percent
☆ React.js – 90 percent
☆ TypeScript – 85 percent
☆ Next.js, Astro.js, Qwik.js, Tailwind CSS
☆ Backend – Node.js, Express, MongoDB
☆ AI and ML – Python, TensorFlow, AssemblyAI LEMUR, Google Gemini

My daily AI toolbox includes Gemini, Claude, ChatGPT, Meta AI, Perplexity, Ollama, Mistral, DeepSeek, Grok, HuggingFace and Copilot

Projects that define me

✧ VocalScribe – real time speech to text using AssemblyAI LEMUR API
✧ EchoCraft – AI driven audio processing for noise reduction and analysis
✧ MarketPulse AI – TensorFlow pipeline that aggregates market news and social sentiment
✧ LingoLens – transcription and translation with Gemini
✧ SkillSphere – a unified platform of ten apps for productivity and well being built with React and Node
✧ TradeView – live stock dashboard with WebSockets
✧ FolioMotion – dynamic portfolio templates with Next.js and Tailwind

Hacktoberfest and open source

Open source is my yearly pilgrimage

☆ Hacktoberfest 2024 – 238 accepted pull requests and merge requests across October
☆ 11 meaningful PRs merged, from docs fixes to TypeScript linter work
☆ 4 Holopin badges earned in 2024
☆ 200 plus PRs in total, and I mentor newcomers on DEV.to
☆ My GitHub bio says Ask me about Next.js, React.js, TypeScript because I love pairing

Talks, writing and thought leadership

I learn by teaching

✧ The Top 5 AI Agent Trends for 2025 – I wrote about multimodal AI systems, multi agent collaboration and heightened autonomy
✧ Responsible AI, The Ethical Framework for Modern Development – fairness, transparency and privacy as core principles
✧ LinkedIn posts reach over 6,100 professionals, where I discuss AI search and generative video models
✧ SlideShare decks – AI Powered Smart Resume Analyzer, cybersecurity series for MAKAUT 7th sem, my full tech journey

LinkedIn presence

I post almost weekly. My feed mixes short notes on agent architecture, screenshots from builds and reflections on building in public. People know me there as the Kolkata AI agent engineer who replies to beginners.

Popular tweets and X voice

On @aniruddhadak I share build logs, quick tips on Next.js and thoughts on open source. My most engaged threads are about Hacktoberfest learnings and how I structure AI agent prompts. I keep it simple and useful.

Achievements

☆ College topper in B.Tech program
☆ SoloLearn Vibe Coding Certificate of Achievement
☆ GitHub Sponsors profile active with community support
☆ Recognized on Product Hunt as open source dev and technical writer
☆ Consistent contribution streak on GitHub with 94 plus repositories

Hobbies and favorite things

When I am not coding, I watch movies, write blog posts and play games with friends

✧ I believe software should be both useful and fun
✧ I enjoy trying coffee recipes while reviewing pull requests
✧ Favorite stack for side projects – React plus Tailwind on the front, Node plus Mongo on the back, Python when I need AI
✧ I like clean UI, dark mode and tools that save keystrokes

My predictions for AI

From my writing and experiments, I see three near term shifts

☆ Multimodal agents that combine vision, voice and text in one flow
☆ Teams of small specialized agents collaborating instead of one giant model
☆ Autonomy with guardrails, so agents can take actions in real workflows while staying safe and explainable

How I work

Build small, ship often, document everything

I start with a simple prompt, turn it into a prototype on Vercel or Cloud Run, then open source the core. I write the README first, then the code, because clarity matters more than cleverness.

If you want to collaborate on AI agents, Next.js apps or open source, find me on any profile above and say hi

Cryptography and Network Security (MAKAUT B.Tech CSE:: PEC-CS801B ) Diagrams

ANIRUDDHA ADAK — Thu, 25 Jun 2026 03:36:28 +0000

All important topics

MAKAUT CNS Important Questions Cheat Sheet ( 2023, 2024, 2025 ) ( 5, 15 marks)

PGP (Pretty Good Privacy)

PGP vs S/MIME comparison infographic

Biometric Authentication

SSL Protocol

Digital Signature

Digital Certificate

RSA Algorithm & Key Generation

Mail security and network defense guide

Internet security and authentication guide

DES Feistel Structure

Cybersecurity and cryptography cheat sheet ( most uncovered)

Cyber Law and Ethics :: MAKAUT B.Tech CSE( OEC-CS801B)

ANIRUDDHA ADAK — Mon, 22 Jun 2026 09:54:28 +0000

Unit	Topic Title	Detailed Topics	Hrs/Unit
1	Introduction & Categories of Cybercrime	• Introduction of Cybercrime: What is cybercrime? • Forgery • Hacking • Software Piracy • Computer Network intrusion [4L] • Category of Cybercrime: How criminals plan attacks • Passive attacks • Active attacks • Cyberstalking [4L]	8
2	Cybercrime Mobile & Wireless Devices	• Security challenges posted by mobile devices • Cryptographic security for mobile devices • Attacks on mobile/cellphones: Theft, Virus, Hacking • Bluetooth • Different viruses on laptop [8L]	8
3	Tools and Methods Used in Cybercrime	• Proxy servers • Panword checking (Password checking) • Random checking • Trojan Horses and Backdoors • DOS & DDOS attacks • SQL injection • Buffer overflow [8L]	8
4	Phishing, Identity Theft & Legal Aspects	• Phishing & Identity Theft: Phishing methods, ID Theft • Online identity method [4L] • Cybercrime & Cybersecurity: Legal aspects • Indian laws • IT act • Public key certificate [4L]	8

Cryptography and Network Security (MAKAUT B.Tech CSE:: PEC-CS801B )

ANIRUDDHA ADAK — Mon, 22 Jun 2026 09:28:47 +0000

Unit	Topic Title	Detailed Topics	Hrs/Unit
1	Attacks on Computers & Computer Security	• Introduction • Need for Security • Security approaches • Principles of Security • Types of attack	5
2	Cryptography: Concepts & Techniques	• Introduction • Plaintext & Cipher text • Substitution Techniques • Transposition Techniques • Encryption & Decryption • Symmetric & Asymmetric key Cryptography • Key Range & Key Size	7
3	Symmetric Key Algorithm	• Introduction • Algorithm types & Modes • Overview of Symmetric Key Cryptography • DES (Data Encryption Standard) algorithm • IDEA (International Data Encryption Algorithm) algorithm • RC5 (Rivest Cipher 5) algorithm	8
4	Asymmetric Key Algorithm, Digital Signature and RSA	• Introduction • Overview of Asymmetric key Cryptography • RSA algorithm • Symmetric & Asymmetric key Cryptography together • Digital Signature • Basic concepts of Message Digest and Hash Function (Algorithms on Message Digest and Hash function not required)	5
5	Internet Security Protocols, User Authentication	• Basic Concepts • SSL protocol • Authentication Basics • Password • Authentication Token • Certificate based Authentication • Biometric Authentication	6
6	Electronic Mail Security	• Basics of mail security • Pretty Good Privacy • S/MIME	4
7	Firewall	• Introduction • Types of firewall • Firewall Configurations • DMZ Network	3

E-Commerce & ERP (OEC-CS802A) :: MAKAUT B.Tech (CSE) Syllabus

ANIRUDDHA ADAK — Mon, 22 Jun 2026 04:05:23 +0000

Module	Topic Title	Detailed Topics	Contact Hours
1	Overview & Fundamentals	• Overview • Definitions • Advantages & Disadvantages of E-Commerce • Threats of E-Commerce • Managerial Prospective • Rules & Regulations For Controlling E-Commerce • Cyber Laws	3L
2	Technologies	• Relationship Between E-Commerce & Networking • Different Types of Networking Commerce • Internet, Intranet & Extranet • EDI Systems • Wireless Application Protocol: Definition, Hand Held Devices, Mobility & Commerce, Mobile Computing, Wireless Web • Web Security • Infrastructure Requirement For E-Commerce	5L
3	Business Models of E-Commerce	• Model Based On Transaction Type • Model Based On Transaction Party - B2B, B2C, C2B, C2C • E-Governance	2L
4	E-Strategy	• Overview • Strategic Methods for developing E-commerce	2L
5	Four C’s	• Convergence: Technological Advances in Convergence – Types, Convergence and its implications, Convergence & Electronic Commerce • Collaborative Computing: Collaborative product development, contract as per CAD, Simultaneous Collaboration, Security • Content Management: Definition of content, Authoring Tools & Content Management, Content – partnership, repositories, convergence, providers, Web Traffic & Traffic Management, Content Marketing • Call Center: Definition, Need, Tasks Handled, Mode of Operation, Equipment, Strength & Weaknesses of Call Center, Customer Premises Equipment (CPE)	6L
6	Supply Chain Management	• E-logistics • Supply Chain Portal • Supply Chain Planning Tools (SCP Tools) • Supply Chain Execution (SCE) • SCE - Framework • Internet’s effect on Supply Chain Power	3L
7	E-Payment Mechanism	• Payment through card system • E-Cheque • E-Cash • E-Payment Threats & Protections	1L
8	E-Marketing	• Home-shopping • E-Marketing • Tele-marketing	1L
9	Electronic Data Interchange (EDI)	• Meaning, Benefits, Concepts, Application • EDI Model • Protocols (UN EDI FACT / GTDI, ANSI X-12) • Data Encryption (DES / RSA)	2L
11	Risk of E-Commerce	• Overview • Security for E-Commerce • Security Standards • Firewall • Cryptography • Key Management • Password Systems • Digital certificates • Digital signatures	4L
12	Enterprise Resource Planning (ERP)	• Features, capabilities and Overview of Commercial Software • Re-engineering work processes for IT applications • Business Process Redesign • Knowledge engineering and data warehouse • Business Modules: Finance, Manufacturing (Production), Human Resources, Plant Maintenance, Materials Management, Quality Management, Sales & Distribution ERP Package • ERP Market: ERP Market Place, SAP AG, PeopleSoft, BAAN, JD Edwards, Oracle Corporation • ERP-Present and Future: Enterprise Application Integration (EAI), ERP and E-Commerce, ERP and Internet, Future Directions in ERP	10L

Anthropic: Building AI Safety and Innovation

ANIRUDDHA ADAK — Wed, 10 Jun 2026 17:49:49 +0000

Anthropic: Pioneering AI Safety and Innovation

In the rapidly evolving landscape of artificial intelligence, Anthropic stands out as a company committed to not only advancing AI capabilities but also ensuring its responsible and ethical development. Founded by the visionary siblings Dario Amodei, CEO, and Daniela Amodei, President, Anthropic is at the forefront of building AI systems that are powerful, interpretable, and steerable.

The Foundation of Scaling Laws

A cornerstone of Anthropic's success is the concept of "scaling laws," a theoretical framework developed by Dario Amodei. This principle posits that large language models (LLMs) exhibit significant performance improvements simply by increasing the volume of training data and computational resources. This insight has been instrumental in guiding Anthropic's research and development, leading to breakthroughs in AI performance without necessarily requiring fundamental algorithmic changes.

Claude: A Suite of Advanced AI Models

Anthropic's flagship AI model, Claude, represents a significant leap in AI capabilities. The company has released several iterations, including the high-performance Opus 4.6 and 4.7. Beyond its general intelligence, Claude is specialized through various tools:

Claude Code: This specialized tool automates substantial portions of software engineering. According to Boris Cherny, Head of Claude Code, it has reached a level of sophistication where it can generate 100% of the code for some engineers, fundamentally transforming the software development workflow.
Claude Cowork: Extending automation beyond coding, Claude Cowork assists with a broad spectrum of enterprise tasks. This includes data analysis, email management, and presentation creation, empowering human professionals to focus on higher-level strategic thinking and interpersonal collaboration.

Addressing Critical Challenges: Productivity and Safety

Anthropic's mission is twofold: to enhance human productivity and to champion AI safety and responsibility. The company aims to:

Alleviate Productivity Bottlenecks: By automating complex and time-consuming tasks, Anthropic's tools enable individuals and organizations to streamline operations, allowing human talent to be reallocated to more creative and impactful endeavors.
Ensure AI Safety and Responsibility: A core tenet of Anthropic's philosophy is the belief that AI development must be accompanied by robust safeguards. They actively research and implement mechanisms to prevent AI from exhibiting undesirable behaviors such as hallucination, deception, or misuse for harmful purposes like mass surveillance or autonomous weaponry.

Constitutional AI: Ethical Guardrails for Advanced Systems

A key innovation in Anthropic's approach to AI safety is Constitutional AI. Claude is trained to adhere to a set of guiding principles, or a "constitution," derived from foundational documents such as the UN Declaration of Human Rights. This constitutional framework ensures that Claude's behavior remains consistently helpful, honest, and harmless, even as its capabilities grow.

Professional Warmth: A Distinct AI Persona

Unlike some AI systems that might be perceived as overly friendly or robotic, Claude is designed with a unique persona characterized by "professional warmth." This approachability, combined with a clear and concise communication style, makes interactions with Claude intuitive and effective, fostering a productive human-AI collaboration.

Navigating Ethical Dilemmas and Commercial Pressures

Anthropic has demonstrated a steadfast commitment to its ethical principles, even when faced with significant commercial pressures. A notable instance involved the decision not to release Mythos, a powerful model capable of identifying thousands of cybersecurity vulnerabilities. The company prioritized the potential risks of such a "superweapon" falling into the wrong hands over immediate commercial gains.

Furthermore, Anthropic famously engaged in a principled stand-off with the Pentagon, refusing to permit Claude's deployment for mass domestic surveillance or fully autonomous weapons systems. This unwavering commitment to ethical "red lines" led to a temporary blacklisting by the Department of Defense, underscoring Anthropic's dedication to its core values.

Addressing Existential Risks and Advocating for Responsible Governance

Dario Amodei openly acknowledges the profound risks associated with advanced AI, citing a "10-25% chance of civilization collapse" due to its uncontrolled development. In response, Anthropic advocates for proactive measures, including mandatory pre-release testing, independent auditing, and a balanced regulatory framework. This approach seeks to avoid both unchecked AI proliferation and excessive governmental nationalization, aiming instead for a collaborative global effort to mitigate existential risks.

In conclusion, Anthropic is not merely developing cutting-edge AI; it is actively shaping the future of AI with a profound sense of responsibility. By integrating advanced technical capabilities with a robust ethical framework, the company strives to ensure that artificial intelligence serves humanity's best interests, fostering innovation while safeguarding against potential perils.

Anthropic: Pioneering AI Safety and Innovation

ANIRUDDHA ADAK — Wed, 10 Jun 2026 17:49:03 +0000

Anthropic: Pioneering AI Safety and Innovation

The Foundation of Scaling Laws

Claude: A Suite of Advanced AI Models

Claude Code: This specialized tool automates substantial portions of software engineering. According to Boris Cherny, Head of Claude Code, it has reached a level of sophistication where it can generate 100% of the code for some engineers, fundamentally transforming the software development workflow.
Claude Cowork: Extending automation beyond coding, Claude Cowork assists with a broad spectrum of enterprise tasks. This includes data analysis, email management, and presentation creation, empowering human professionals to focus on higher-level strategic thinking and interpersonal collaboration.

Addressing Critical Challenges: Productivity and Safety

Anthropic's mission is twofold: to enhance human productivity and to champion AI safety and responsibility. The company aims to:

Alleviate Productivity Bottlenecks: By automating complex and time-consuming tasks, Anthropic's tools enable individuals and organizations to streamline operations, allowing human talent to be reallocated to more creative and impactful endeavors.
Ensure AI Safety and Responsibility: A core tenet of Anthropic's philosophy is the belief that AI development must be accompanied by robust safeguards. They actively research and implement mechanisms to prevent AI from exhibiting undesirable behaviors such as hallucination, deception, or misuse for harmful purposes like mass surveillance or autonomous weaponry.

Constitutional AI: Ethical Guardrails for Advanced Systems

Professional Warmth: A Distinct AI Persona

Navigating Ethical Dilemmas and Commercial Pressures

Addressing Existential Risks and Advocating for Responsible Governance

Herclew: The Autonomous AI Game Master in Your DMs 🦞☤

ANIRUDDHA ADAK — Wed, 10 Jun 2026 12:45:52 +0000

Herclew: The Autonomous AI Game Master Living in Your DMs 🦞☤

What if your next favorite role-playing game didn't live on Steam or in a browser, but directly inside your chat apps—managed by an autonomous, self-improving AI agent that could compile your code in a secure sandbox?

Introducing Herclew (the hybrid convergence of Nous Research's Hermes Agent and OpenClaw's universal gateway). For the June Solstice Game Jam, I built Solstice Cage, an interactive, cryptographic text-adventure game hosted entirely on WhatsApp, Telegram, and Discord, where the Game Master is an autonomous AI agent running inside a containerized kernel-level sandbox.

🎮 What I Built: "Solstice Cage"

Solstice Cage is a terminal-based and chat-based cryptographic adventure. You play as a field agent in June 1941, working to decrypt intercepted transmissions.

The Interface: You play by simply DMing the Herclew agent on WhatsApp, Telegram, or Discord.
The Gameplay: The agent acts as the Game Master (GM), describing your environment, generating cryptographic ciphers, and spawning a secure, interactive bash shell where you can write and execute decryption scripts.
The Goal: Break the codes and escape the facility before the solstice sun sets.

☀️ Solstice Theme Relevance

The game is built around the passage of time and the duality of light and shadow:

Daylight Cycle: The game’s difficulty and environmental descriptions sync with the real-world daylight hours of the June Solstice. During the longest day of the year, players have more time, but the heat depletes their resources.
Visual Contrast: If played via the Web Canvas UI (A2UI), the interface transitions dynamically from deep shadow during night hours to bright, high-contrast layouts representing intense solstice daylight.

🏛️ How I Built It (The Herclew Architecture)

Herclew is structured as a decoupled monorepo:

TypeScript Gateway (gateway-node): Handles connection interfaces for WhatsApp, Telegram, and Discord, processes incoming DMs, and manages active session states.
Python Reasoning Core (core-agent): Manages the AI agent planning loop, memory recall, and tool execution.
The Secure Sandbox: Running untrusted code is dangerous. Herclew cages the agent and the player's scripts using Linux kernel-level enforcement:
- Landlock LSM: Strictly limits file system access.
- Seccomp BPF: Filters system calls (blocking dangerous actions like ptrace or mount).
- Open Policy Agent (OPA): Restricts outbound network calls.

👑 Best Ode to Alan Turing

As an entry in the "Best Ode to Alan Turing" category, the game directly incorporates his legacy:

The Imitation Game: The core puzzle mechanic is an "inverted Turing Test" where the player must convince the AI gatekeeper that they are human by solving algorithmic code-breaking challenges.
Bletchley Park Ciphers: Puzzles are modeled after the Enigma and Caesar ciphers. Players must write code in JavaScript or Python to decrypt complex patterns, mirroring the cryptanalysis work done during WWII.

🧠 Best Google AI Usage (Gemini 3.5)

Herclew uses the Google Gemini API (via Gemini 3.5 Flash and Pro) to drive the entire experience:

Narrative Generation: Gemini acts as a dynamic storyteller, reacting to players' creative inputs and describing the unfolding adventure.
Structured Output Gating: Using Pydantic templates and constrained generation, Gemini validates player moves and execution results reliably.
Interactive Code Guide: If a player gets stuck on a cryptographic puzzle, Gemini provides contextual hints and debugging support without spoiling the answer.

🚀 Check Out Herclew

The code for Herclew is fully open-source:
👉 GitHub: aniruddhaadak80/herclew

Try hosting your own AI Game Master today!

Herclew: The Autonomous AI Game Master Living in Your DMs 🦞☤

ANIRUDDHA ADAK — Wed, 10 Jun 2026 12:34:19 +0000

Herclew: The Autonomous AI Game Master Living in Your DMs 🦞☤

🎮 What I Built: "Solstice Cage"

Solstice Cage is a terminal-based and chat-based cryptographic adventure. You play as a field agent in June 1941, working to decrypt intercepted transmissions.

The Interface: You play by simply DMing the Herclew agent on WhatsApp, Telegram, or Discord.
The Gameplay: The agent acts as the Game Master (GM), describing your environment, generating cryptographic ciphers, and spawning a secure, interactive bash shell where you can write and execute decryption scripts.
The Goal: Break the codes and escape the facility before the solstice sun sets.

☀️ Solstice Theme Relevance

The game is built around the passage of time and the duality of light and shadow:

Daylight Cycle: The game’s difficulty and environmental descriptions sync with the real-world daylight hours of the June Solstice. During the longest day of the year, players have more time, but the heat depletes their resources.
Visual Contrast: If played via the Web Canvas UI (A2UI), the interface transitions dynamically from deep shadow during night hours to bright, high-contrast layouts representing intense solstice daylight.

🏛️ How I Built It (The Herclew Architecture)

Herclew is structured as a decoupled monorepo:

TypeScript Gateway (gateway-node): Handles connection interfaces for WhatsApp, Telegram, and Discord, processes incoming DMs, and manages active session states.
Python Reasoning Core (core-agent): Manages the AI agent planning loop, memory recall, and tool execution.
The Secure Sandbox: Running untrusted code is dangerous. Herclew cages the agent and the player's scripts using Linux kernel-level enforcement:
- Landlock LSM: Strictly limits file system access.
- Seccomp BPF: Filters system calls (blocking dangerous actions like ptrace or mount).
- Open Policy Agent (OPA): Restricts outbound network calls.

👑 Best Ode to Alan Turing

As an entry in the "Best Ode to Alan Turing" category, the game directly incorporates his legacy:

The Imitation Game: The core puzzle mechanic is an "inverted Turing Test" where the player must convince the AI gatekeeper that they are human by solving algorithmic code-breaking challenges.
Bletchley Park Ciphers: Puzzles are modeled after the Enigma and Caesar ciphers. Players must write code in JavaScript or Python to decrypt complex patterns, mirroring the cryptanalysis work done during WWII.

🧠 Best Google AI Usage (Gemini 3.5)

Herclew uses the Google Gemini API (via Gemini 3.5 Flash and Pro) to drive the entire experience:

Narrative Generation: Gemini acts as a dynamic storyteller, reacting to players' creative inputs and describing the unfolding adventure.
Structured Output Gating: Using Pydantic templates and constrained generation, Gemini validates player moves and execution results reliably.
Interactive Code Guide: If a player gets stuck on a cryptographic puzzle, Gemini provides contextual hints and debugging support without spoiling the answer.

🚀 Check Out Herclew

The code for Herclew is fully open-source:
👉 GitHub: aniruddhaadak80/herclew

Try hosting your own AI Game Master today!

fable 5 just changed everything we know about ai coding

ANIRUDDHA ADAK — Wed, 10 Jun 2026 05:51:16 +0000

what is fable 5

fable 5 is anthropic's newest ai model that is now available to everyone. it is called a mythos class model and it is the most capable model anthropic has ever made generally available. the company says it is safe for general use and works well for codin

what people are building

designers are using fable 5 to create websites that look professional and don't have the typical ai slop look. one designer said the lines between ai generated designs and human designs are blurring fast. developers are building mobile and web apps with just a few prompts. one person built a complete app in o

stripe tested fable 5 on a 50 million line ruby codebase and completed the migration in one day. before fable 5, this would have taken a team two months by hand. that is a huge time savings.

benchmarks and performance

fable 5 scores 86.3 percent on agentic coding tasks which is higher than claude opus 4.8 at 69.2 percent, gpt 5.5 at 58.6 percent, and gemini 3.1 pro at 54.2 percent. it is state of the art on nearly all tested benchmarks. the longer and more comp

user reviews and experiences

most people are impressed. one person said fable 5 is crazy good. another said it's operating in a completely different dimension compared to other models. the visual gap in 3d fluid dynamics and complex physics is insane. however some users have reported issues. one person said it took 7 minutes and was still thinking. another developer had a long sigh when tryin

community thoughts

people inside anthropic say this is a major milestone like previous breakthrough releases. an anthropic employee who was there for every model launch said fable 5 stands out as a step change in how we use models. the community is excited but also testing it critically. some are comparing it to previous mo

where to access it

fable 5 is available today on all paid plans, in claude code, on the claude api, and on all major cloud platforms. it is also available on gspark code agent, gspark claw, blink, venice ai, and gmi cloud. the model is designed for extended autonomous coding and knowledge tasks with built in safety classifiers.

final thoughts

fable 5 represents a big step forward in ai capabilities. it can build apps, write code, do research, and handle complex tasks better than previous models. while there are some performance concerns, the overall sentiment is very positive. developers are already building real products with it and seeing impressive results.dels and finding it superior. others are finding it slow for certain tasks.g to work on fixing his project with fable 5.lex the task, the larger fable 5's lead over other models.nly 2 prompts and it worked better than the original.g, research, knowledge work, and vision tasks.

The Future is Now: Navigating Web Development Trends in 2026

ANIRUDDHA ADAK — Sat, 06 Jun 2026 12:31:47 +0000

The Future is Now: Navigating Web Development Trends in 2026

Introduction

The web development landscape is in a constant state of evolution, with new technologies and methodologies emerging at a rapid pace. As we delve deeper into 2026, several key trends are shaping how we build and interact with the web. This article explores some of the most impactful developments, with a particular focus on the transformative role of Artificial Intelligence and Large Language Models.

Key Trends in Web Development for 2026

1. AI-Driven Development and LLM Integration

Artificial Intelligence, particularly Large Language Models (LLMs), is no longer a futuristic concept but a present-day reality deeply integrated into the development workflow. From intelligent code completion and automated testing to generating entire code snippets and documentation, AI is significantly boosting developer productivity. LLMs are also being leveraged for dynamic content generation, personalized user experiences, and advanced conversational interfaces, making applications more intuitive and responsive.

2. Server-First Architectures and Edge Computing

The push for enhanced performance and reduced latency continues with the rise of server-first architectures and the increasing adoption of edge computing. By processing data closer to the user, applications can deliver faster response times and a more seamless experience. This trend is complemented by frameworks that prioritize server-side rendering and static site generation, optimizing for speed and efficiency.

3. Advanced Frontend Frameworks and UI/UX

Frontend development continues to innovate with frameworks like React, Next.js, and others pushing the boundaries of what's possible in the browser. The focus is on creating highly interactive, performant, and visually stunning user interfaces. Expect to see more sophisticated animations, 3D elements, and immersive experiences becoming standard, often powered by WebAssembly and advanced graphics APIs.

4. Enhanced Security and Privacy by Design

With increasing data breaches and privacy concerns, security and privacy are paramount. Developers are adopting a
privacy-by-design approach, integrating robust security measures from the initial stages of development. This includes stricter data handling protocols, advanced authentication methods, and the use of privacy-enhancing technologies.

5. Web3 and Decentralized Applications (dApps)

While still in its nascent stages, Web3 continues to gain traction, promising a more decentralized and user-controlled internet. Blockchain technology, cryptocurrencies, and NFTs are foundational to dApps, offering new paradigms for ownership, identity, and data management. Developers are exploring innovative ways to integrate these technologies, creating applications that are transparent, secure, and resistant to censorship.

Conclusion

The web development landscape in 2026 is characterized by rapid innovation and a strong emphasis on performance, security, and intelligent automation. AI and LLMs are not just tools but integral components shaping the future of how we build and interact with digital experiences. Staying abreast of these trends will be crucial for developers looking to build impactful and future-proof applications.

The Cloud Just Got a Brain. Google NEXT '26 Changed Everything.

ANIRUDDHA ADAK — Tue, 28 Apr 2026 16:06:00 +0000

This is a submission for the Google Cloud NEXT Writing Challenge

"The Agentic Cloud."

Two words. Thomas Kurian said them. And 40,000 developers in Las Vegas went quiet.

I set an alarm for a keynote.

That has never happened before in my life.

But April 22, 2026 felt different. Google Cloud NEXT '26 was not just another product dump. It was a declaration. A line drawn in the sand.

The cloud stopped being a storage locker. It became a thinking, acting, collaborating system.

Here is what happened -- and why it matters to every developer alive right now.

// CHAPTER ONE

The Two Words That Started It All

"The Agentic Cloud."

Not AI-powered. Not AI-assisted.

Agentic.

Meaning: the cloud does not wait for you anymore.

It plans. It acts. It corrects itself.

You give it a goal. It builds the path.

Think of it this way -- you stop being the driver. You become the destination.

This is Google's bet for the next decade of computing. And after watching the entire keynote, I think they are right.

// CHAPTER TWO

Vertex AI is Gone. Meet Its Replacement.

Vertex AI -- the platform millions of developers have been using -- got a full rebrand and rebuild.

It is now called the Gemini Enterprise Agent Platform.

And it is not just a name change.

Here is what actually changed:

What Was There	What Is There Now
Vertex AI (single brand)	Gemini Enterprise Agent Platform
~30 model options	200+ models including Claude
Manual API integrations	Managed MCP servers built-in
Isolated agents	Agent2Agent (A2A) protocol

The A2A protocol is the quietly massive one.

It means agents built on Gemini can talk to agents built on Claude. Or any other model. In an open, standardized way.

# Before A2A:
Gemini Agent ----X---- Claude Agent   (incompatible)

# After A2A:
Gemini Agent <---A2A---> Claude Agent <---A2A---> Your Custom Agent
               seamless. open. production-ready.

No more building walls between your AI tools.

The whole ecosystem just became one conversation.

// CHAPTER THREE

The Agent That Browses the Internet For You

This is the one I could not stop thinking about.

Project Mariner.

Google DeepMind built an AI agent that uses the web the way you do -- it reads pages, clicks buttons, fills forms, and completes tasks.

The numbers:

83.5% score on the WebVoyager benchmark
10 tasks running simultaneously on cloud VMs
Handles shopping, research, form-filling -- all in the background

You open your laptop. You tell Mariner what you need. You go make chai. It is done by the time you are back.

The roadmap is already laid out:

Q2 2026 -- Mariner Studio launches (visual builder for web agents)

Q3 2026 -- Cross-device sync (your agents follow you everywhere)

Q4 2026 -- Agent marketplace (buy, sell, and share agents like apps)

This is not a research project anymore. This is infrastructure.

// CHAPTER FOUR

The Chip Built For This Exact Moment

Every software revolution needs new hardware under it.

Google delivered.

8th generation TPUs. Two flavors, each purpose-built:

TPU 8t -- built for training. Frontier models. The heavy lifting.

TPU 8i -- built for inference. Real-time. Low latency. Production workloads.

Both run on Google's own Axion ARM-based processors for the first time. Chip-to-API, fully co-designed.

The result is hard to argue with:

Gemini 2.0 Flash achieves 24x higher intelligence per dollar vs GPT-4o.

And 5x higher than DeepSeek R1.

That is not a benchmark slide. That is a cost structure shift for every team building on AI.

// CHAPTER FIVE

One App. Every Employee. No More Tool Chaos.

Google also killed the fragmentation.

Agentspace got absorbed. The result is a unified product called Gemini Enterprise.

One interface. For everyone. For everything.

# The old reality for enterprise teams:

search   = GoogleSearch()
assistant = DuetAI()
agents    = VertexAgentspace()
connectors = ManualAPISetup()  # weeks of work

# The new reality:

gemini_enterprise = GeminiEnterprise()
# search + assistant + agents + 50+ connectors
# all in one. ships in days.

It connects out of the box to:

Confluence and Jira (for eng teams)
SharePoint and ServiceNow (for enterprise ops)
BigQuery (for data teams)
And more rolling out through 2026

No custom integrations. No brittle webhooks. Just connect and go.

// INTERLUDE

The Announcement Everyone Missed

Everyone was talking about Mariner and the A2A protocol.

Almost nobody mentioned managed MCP servers.

MCP stands for Model Context Protocol. It is the standard that lets AI models securely plug into your data and tools.

Google is now offering managed MCP servers for:

Google Security Operations
Google Workspace
BigQuery
More through 2026

What this means in practice:

# Old way -- weeks of custom integration work:
curl -X POST https://your-api.com/endpoint \
  -H "Authorization: Bearer $TOKEN" \
  -d '{"query": "show me threats from last week"}'
# ...debug, retry, maintain forever

# New way -- one line, managed, secure, done:
agent.connect(mcp_server="google-security-ops")
agent.ask("Summarize critical threats from the last 7 days")

Security teams will sleep better. Developers will ship faster.

This is the unsexy announcement that changes the most workflows.

// CHAPTER SIX

My Real Take. No Hype.

I have been building with AI since GPT-3 in 2020.

I have watched the hype cycles.

I know the difference between a keynote flex and an actual shift.

This felt like an actual shift.

Here is why I believe it:

The stack is complete -- for the first time, hardware (TPU 8t/8i) + runtime (Gemini Agent Platform) + protocol (A2A + MCP) + interface (Gemini Enterprise) are all aligned and shipping together.

The open standards are real -- A2A and MCP are not proprietary traps. Google is betting on ecosystem growth. That is a confident, mature move.

The DX is genuinely better -- 200+ models, no-code builders and pro-code APIs, managed infra for the messy parts. This is developer-first done properly.

But I am still watching a few things closely:

A2A in production -- beautiful in theory. I want to see Claude agents and Gemini agents passing real complex state at scale before I fully trust it.

Mariner error handling -- 10 concurrent tasks is cool. What happens at 1,000 when one fails mid-flow?

MCP governance in regulated industries -- healthcare and finance will ask very hard questions about access logs, data residency, and auditability.

These are not dealbreakers. They are the right questions.

Skepticism is how we build better things.

// START HERE

Your Getting Started Map

For Agent Builders:

Explore the Gemini Enterprise Agent Platform
Read the A2A Protocol spec
Try the no-code agent builder inside Google Workspace today

For ML Engineers:

Check out the 8th Gen TPU details
Run your inference workload benchmarks against Gemini 2.0 Flash
Explore the 200+ model catalog -- Claude, Gemini, and more in one place

For Security Teams:

Look into MCP server support for Google Security Operations
Start building custom security agents with the new agent builder

// END CREDITS

A Personal Note

I build AI tools for a living.

I watch this space every single day.

But this morning -- April 22, 2026, watching Thomas Kurian on a livestream from Kolkata -- I felt something I do not feel often.

The ground got more solid.

The stack that developers have been waiting for is finally here. The protocols are open. The hardware is purpose-built. The developer experience is genuinely better.

The agentic era did not announce itself with fireworks.

It arrived quietly, in Las Vegas, on a Tuesday morning.

And I think the developers who start building on it today are going to look very smart in 18 months.

What was the announcement that hit you hardest from NEXT '26?

Drop it below. I am reading every comment.