Posts tagged Claude Md — AI × software engineering, made practical.
You'll learn how to get your coding agent to show the options it rejected and why, and how to use those rejected options to build your own engineering judgment.
You'll learn how a prompt differs from context, why extra context can make an agent worse, and how to use three questions to decide what stays in and what comes out.
You'll learn how to measure prompt cache hits in a coding agent harness, and how to fix the things that quietly break caching: volatile values in the system prompt, shifting tool lists, shared CLAUDE.md edits, aggressive compaction and badly placed breakpoints.
You'll learn how to turn invisible glue work into owned, written artifacts (decision logs, repo context files and a rotating glue owner) that unblock your team, give coding agents the context they need, and count as evidence in a promotion case.
You'll learn how to pair a new hire with a coding agent to log the agent's confident wrong guesses about your codebase, rank them by frequency × cost, and fix them in code, tooling or docs.
Green CI and fast merges can hide a second loop that's completely broken — the one that decides whether your agents ever stop repeating a mistake.
A 'never force-push' rule in bold at the top of a CLAUDE.md got broken by an agent that reasoned its way past it step by coherent step — and the reason why should change how you think about every safety rule in your prompts.