In agent systems, context matters more than the prompt
A practical guide to what the planner actually sees, why context is more than the prompt, and why better context selection matters more than simply adding more tokens.
A practical guide to what the planner actually sees, why context is more than the prompt, and why better context selection matters more than simply adding more tokens.
I already had reusable `uv`-first instructions for Claude Code and Codex. I have now added the Cursor path too: generate a rule from the same source guidance so Cursor stays on the same Python workflow.
A practical guide to what agents are, what they are not, and how to reason about them in terms of context, tools, host loops, and runtime constraints instead of hype.
The second part of a series on engineering effectiveness anti-patterns, focused on what happens when we keep postponing system health in favor of short-term feature delivery.
I kept noticing coding agents drifting into `pip install`, raw `python`, and hand-edited dependency files in Python projects. So I built a small repo with reusable `CLAUDE.md` and `AGENTS.md` guidelines that push both Claude and Codex toward a consistent `uv` workflow.