ContextRail: Minimum Effective Project Memory for Agentic Coding
An open-source harness framework that resolves inter-session memory loss, file sprawl, and context pollution with 5 Markdown layers and 3 platform validators.
An open-source harness framework that resolves inter-session memory loss, file sprawl, and context pollution with 5 Markdown layers and 3 platform validators.
The context problem in agentic coding is not solved by producing more files. Real gains come from placing information in the right lifecycle layer and teaching the agent to read only the region it needs.
One of the most popular pieces of advice in current agentic AI discussions is this: “Give the agent the goal and let it handle the rest.” Let it plan autonomously, choose its tools, and solve the problem on its own. It sounds attractive, I know, but a project I have been working on over the last few months taught me the opposite. I think the most important rule of dancing with LLMs is micromanagement.