Context Clues
How to keep AI agents building what matters, not just what compiles.
- No. 58SupersessionWhen a team changes its mind, the old decision should explain the system without controlling the next one.7 min
- No. 56Product Context LayerThe connective tissue between customer, business, and code has always been product’s job.11 min
- No. 30Loop engineering forgot the loop needs a memoryThe control flow was never the hard part. What the loop carries between iterations is.8 min
- No. 26The context window is not the bottleneck. Relevance is.Why a ten-million-token window makes selecting the right decisions harder, not optional.7 min
- No. 24Your agent stores beliefs, not decisionsWhy CLAUDE.md, raw integrations, and memory.md all fail the same test, and the seven properties a product context layer must have.7 min
- No. 23Context engineering, explainedThe discipline of deciding what a model sees, and the harder problem of keeping it true.5 min
- No. 17Multi-Agent AI Pipelines: Solving Context Loss Between AI AgentsMulti-agent workflows amplify the telephone game.6 min
- No. 16You Already Have a Product Graph. You Just Can’t Query It.The knowledge is there. The search isn’t.4 min
- No. 7Context Windows Will Keep Growing (But That Won’t Solve the Problem)Context windows will keep growing, but increasing the volume of context won’t resolve the core issues of vibe coding.5 min
- No. 3The Hidden Cost of Context-less AI DevelopmentWhy missing business context wastes time and ships elegant solutions to the wrong problems.7 min
- No. 1That code you rejected 3 times? Your AI just suggested it again.Why AI coding assistants keep suggesting the same wrong solutions, and how context memory solves the endless repeat cycle.5 min