Articles, tutorials, and thoughts on web development, tech, and building cool things.
Waterfall, Agile, AI Build, Vibe Coding — AI promises a prototype in days. But most teams want a reliable car, not a supercar. How to pick your approach.
Single models hit diminishing returns. The next gains come from making top models critique each other: debate, judge, synthesize — with starter code.
Anthropic shipped Fable 5, a tier above Opus. Its pricing and constraints reveal a philosophy: the more capable the model, the more carefully it's gated.
Uber burned its 2026 AI budget by April; Microsoft cut Claude Code seats. Yet the gains are real. Is agentic coding a leap or an expensive trend?
Enterprises will spend $665B on AI in 2026, yet 73% can't prove a return. A practical governance framework to stop experiments becoming budget leaks.
AI coding feels faster, but one study found developers 19% slower while feeling 20% faster. How to measure real AI ROI with DORA and SPACE.
Open-source AI isn't free — it shifts cost from an API bill to your payroll. The real total cost of ownership, the break-even point, and how to choose.
It's not 'jobs' vs 'no jobs' — it's tasks. AI automates the verifiable parts of coding and amplifies judgment. Which tasks change, and what survives.
India's first GenAI unicorn quietly paused foundation models and chips to become a cloud company. It looks like defeat — it may be the honest move.
Untangling Indian IT's manager alphabet soup — Project, Program, Product, Delivery, and Engineering Manager. What the EM role really is in the AI era.
A transparent, data-driven framework for measuring your AI displacement risk — 40+ roles including India-specific ones, refreshed quarterly.
Learn Claude Code from scratch: installation, core workflows, background agents, MCP integrations, and hands-on examples. A complete 2026 tutorial.
From zero to 55+ articles, 7 interactive tools, and 280+ pages — here's how I used Claude Code and AI to build my personal website in weeks, not months.
Master prompt engineering: the 6 elements of effective prompts, mistakes to avoid, and advanced techniques that work with ChatGPT, Claude, and Gemini.
Every tech shift follows the same arc: fear, disruption, expansion. With 78M net new jobs projected by 2030, the data-driven case for an AI job boom.
Anthropic's Claude Mythos found thousands of zero-days and wrote browser exploits autonomously — then chose not to release it. An EM's take.
Google Stitch's new design-markdown export looks minor but isn't. Why consistent AI-generated design across projects matters more than it appears.
AI design tools are changing UX work — but not how most think. The role isn't disappearing; it's evolving into something that demands new skills.
Tailwind laid off most of its team in 2026. Is this the end of CSS frameworks? An honest look at what AI means for frontend — and what to learn next.
Google's AI tool Stitch now turns vibes into interactive prototypes in seconds. What changed, why it matters, and what developers should do about it.
India faces rising high-skilled emigration. Instead of despair, the honest data: why it's happening and what it means for those who stay and build.
32 million Indians live abroad, sending home $100B+ a year. But the real story is the networks, knowledge, and capital flowing back to build India.
Voice prompts, URL ingestion, design-to-prototype in seconds — vibe coding isn't a gimmick. A practical guide to using it without losing control.
Some devs have AI superpowers; others are locked out. Stakeholders expect 10x, costs balloon, the SDLC persists. What's really happening in AI delivery.
219,000 GitHub stars, a craze in China, and it runs on your own machine. OpenClaw is quietly changing how developers work — and India's missing it.
The junior developer job market has fundamentally changed. What every 2026 graduate needs to survive and thrive in an AI-augmented workplace.
AI could add $1 trillion to ASEAN economies — or widen the rich-poor gap for good. Why 2025-2027 decisions set 50 years of economic outcomes.
A billion working-age Indians: in the AI age, either a superpower or an economic disaster. Why the 2025-2027 window sets India's next 50 years.
$285 billion vanished from SaaS stocks in a day, and Indian IT firms are poised to seize the chaos. Why this may be India's biggest opening since Y2K.
We're told anyone can learn anything with effort. But what if we've misjudged human potential? A provocative look through the lens of AI architecture.
The science of caffeine, developer coffee culture, brewing schedules, and why 4 AM bug fixes need a steaming mug. A guide to caffeinated coding.
Explore hilarious, brutal, and honest commit messages from developers worldwide. A celebration of code, chaos, and the raw truth behind the screen.
The science behind rubber duck debugging, why it works so well, and how to use the technique in your workflow — with real stories and setup tips.
How AI sessions lose memory through context compaction, why it matters, and what Leonard Shelby teaches us about working with forgetful assistants.
Many developers treat AI as temporary hype and wait for it to 'stabilize.' Why that mindset costs careers, with examples from India's IT industry.
A practical AI freelancing guide for Indian developers: winning profiles, proposal templates, pricing, and case studies of $5K-15K/month earners.
A complete guide to AI jobs in India 2026: top hiring companies, salary data, LinkedIn tips, portfolio advice, and interview prep.
The 20 best AI platforms of 2026 — Grok, ChatGPT, Claude, and emerging agents. Hands-on reviews, comparisons, and tips to pick the right one.
Complete tutorial to build your first AI agent using free tools. Step-by-step guide with full code to create a Personal Research Assistant in 2-3 hours.
Anthropic now includes Claude Code on every Team plan seat. Why democratizing elite AI coding tools will reshape enterprise software in 2026.
Hands-on comparison of Grok, Claude, ChatGPT, and Gemini for developers. Coding tests, India-specific factors, pricing, and clear recommendations.
Master these 10 AI skills to earn 30-50% more. Complete guide with salary data, free learning resources, and a practical roadmap for Indian developers.
TCS, Infosys, and Wipro earnings reveal the AI shift from PoCs to production. What hiring trends and bench risks mean for your IT career.
Escape the service mindset trap. Learn how Indian developers are building AI products with low-cost tools, real success stories, and a 30-day MVP roadmap.
How Meta's Vision-Language Joint Embedding Architecture (VLJA) challenges modern AI by predicting meaning instead of tokens — a possible post-LLM era.
Model Context Protocol went from a Nov 2024 release to 97M SDK downloads, adopted by ChatGPT, Gemini, and VS Code. A technical getting-started guide.
India's 1,700+ Global Capability Centers are shifting from back-office to strategic innovation hubs — heading toward a $90 billion market by 2028.
Microsoft, Google, AWS, and Indian giants are pouring $50B+ into data centers. India's AI infrastructure buildout, power challenges, and opportunities.
100% of Claude Code's recent codebase was written by Claude Code itself. From Shopify to Google, leaders are stunned. Why you may already be behind.
Comprehensive comparison of the top AI coding assistants in 2026. Features, pricing, agent capabilities, and which tool is best for your workflow.
Why 'good enough' AI beats bleeding-edge for most use cases — the shift from hype to practical ROI, and what actually drives enterprise value.
Apple's LLM-powered Siri slipped from spring to September 2026 — and now leans on Google's Gemini in the cloud. Analysis of Apple Intelligence, the privacy trade-off, and whether restraint is still an advantage.
Why 2025's agentic AI pilots failed, what's different now, and how to build production-ready AI agents that survive real enterprise workloads.
A realistic look at India's place in the global AI race — data sovereignty, cloud dependency, and the path to genuine tech independence.
Analysis of AI's impact on India's IT industry: 80,000 job cuts, automation risks by segment, and strategic recommendations for professionals and companies.
A practical guide to LoRA and RAG — two ways to enhance large language models. When to use each, and how to combine them for the best results.