A workflow that changes how we think about AI coding assistants: build small, focused CLI tools, then let Claude run them.

Your codebase has no map. That's why AI assistants grep, guess, and break things. Cartographer gives them a spec to follow.

A quick rundown of 8 practical techniques to control and get predictable results from Large Language Models.

AI's non-determinism and hidden failure modes are making traditional testing obsolete. It's time to shift from 'does it work?' to 'does it behave?'

Instead of AI agents learning to scrape websites, what if websites could speak directly to agents? I'm proposing a JavaScript SDK that makes any website natively compatible with MCP-based agents.

AI agents are hitting the same accessibility barriers that screen reader users have faced for decades. The solution isn't new tech—it's the semantic HTML we should have been writing all along.

Public data is technically available, but rarely accessible. Here's how I turned a closed system into something usable.

Any document can be faked in seconds now. The real question isn't 'Can I detect fakes?' It's 'Can I prove this is real?'

Real talk about using OCR, NER, and LLMs to handle India's document chaos. What works, what breaks, and why it matters.

When working with accounting APIs like QuickBooks, you often get deeply nested data. Here's how a classic DFS algorithm became the perfect solution for real-world data transformation at Creditflow.

How we debugged a production crash at HashCube that only happened when Android silently killed our Cocos2d-x game in the background. A deep dive into mobile lifecycle edge cases.

I asked Claude Code to add a blog to my Next.js site. Ten minutes later, I was writing this post on that very blog. Here's how it went down.