Bare Promises
AI agents need purpose-built tooling. But calling a language agent-first without studying how LLMs interact with code turns a hypothesis into marketing.
Read more →AI agents need purpose-built tooling. But calling a language agent-first without studying how LLMs interact with code turns a hypothesis into marketing.
Read more →AI coding tools run on the same psychological mechanism as slot machines. A friend of mine learned this the hard way: five agents, no sleep, complete burnout.
Read more →Most engineers grind LeetCode and polish resumes. The truly elite ones found a faster path. It starts with doing something because it feels good.
Read more →AI wrote a feature set in two weeks. A lead engineer added integration testing. The result shipped faster than any human team, and it was bulletproof.
Read more →I told everyone to pack their AGENTS.md with every detail. A recent study proved me wrong. More instructions make AI agents perform worse. Here is why.
Read more →AI coding agents will silently guess your missing requirements and ship the wrong thing. The fix is not better prompts. It is making them ask before they build.
Read more →AI generates code faster than anyone can read it. The result is comprehension debt. Smart teams solve it by pairing AI speed with proven fundamentals.
Read more →The Tanstack supply chain attack bypassed npm's trusted publishing in six minutes. I recognized the mistake immediately, because I almost made the same one years ago reviewing a CI pipeline.
Read more →AI discourse wants you to pick a side. Two decades in software taught me one thing: shipping beats arguing every time. The builders define the next decade.
Read more →AI's breakthroughs are real. What comes next is not better models. It is the systems, standards, and infrastructure that turn a spark into something that lasts.
Read more →Disclaimer: All content reflects my personal views only and does not represent the positions, strategies, or opinions of any entity I am or have been associated with.