I write about AI agents, API architecture, search, product engineering, and technology leadership.
Technology Leader & Builder
It knows fifty design patterns — that's the problem. The most dangerous case isn't when it picks a bad pattern; it's when it picks a reasonable one, commits it as if you'd decided, and never mentions a choice was made.
Read article →It knows fifty design patterns — that's the problem. The most dangerous case isn't when it picks a bad pattern; it's when it picks a reasonable one, commits it as if you'd decided, and never mentions a choice was made.
An introduction to the five patterns for connecting AI agents to your existing APIs.
The API foundations you need before letting an AI agent call your services.
Choosing the right tool layer — the five ways an AI agent can call your APIs, and when to use each.
A CodeAgent walkthrough — interviewing an AI before it runs (preflight).
It's not the model — it's what you're feeding it. Why the context pipeline, not the LLM, is where the real performance and cost gap lives.
A viral clip claimed AI autonomously built a C compiler and replaced developers. Reading the actual engineering post tells a calmer, more interesting story.
See what context your AI coding tools are actually using — before you prompt. Catches secrets, prompt-injection, and wasted tokens, locally, with no data leaving your machine.
I'm Kiran Chanda, a technology leader who builds enterprise systems across finance, retail, and manufacturing. I'm currently exploring how AI changes software architecture, API integration, product development, and engineering leadership. Everything here is free — no charges, no paywalls.
No noise. Unsubscribe anytime.
