Guides
Long-form companions to the list. Each one teaches a practice you can adopt this week, tool-neutrally, with the tooling options laid out where they’re relevant.
Getting knowledge into agents
- How to give an AI agent your team’s tacit knowledge - The three-stage pipeline: write down what you know, capture what’s created, serve it at the moment of use.
- Why AI agents write confidently wrong code - The failure mode that survives code review, and the three-layer fix.
- MCP servers for codebase context - What to connect, what to skip, and why context budget matters.
Decision records
- ADR tools compared - adr-tools, MADR, log4brains, and the enforcement gap they all share.
- Keeping an engineering decision log that people actually use - Format, ritual, supersession, and writing for human and model readers.
Session economics
- How to transfer context between AI coding sessions - Rules files, handoff summaries, memory layers, and structured transfer.
- Reducing token costs in AI-assisted coding - Where the budget actually goes, and the five highest-leverage cuts.
Want to add a guide? See CONTRIBUTING.