Beyond the Context Window: "Mental Model" for Your AI Agents
summary
A searchable architecture hub is a plain Git repo of flat markdown files that an orchestrator populates by running parallel subagents to extract faceted ingestion (APIs, events, domain models) from each repo; CI triggers create PRs, linting scripts verify structure, and templates plus code citations with file and line numbers force provenance. Prototype takes 1–2 weeks and one person to build, cost is controlled by diffing updates and selective facet runs, and the hub already serves IDE plugins like Cursor and incident agents that successfully use it for system-level reasoning.
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chapters (19)
- 0:00Why Agents Fail
- 1:03Context Is Missing
- 4:37Architecture Hub Idea
- 5:24Principles And Constraints
- 6:54Why Markdown Wins
- 8:13Facets And File Mapping
- 11:15Ingestion Orchestrator
- 12:48Verification And CI
- 15:58Querying For Value
- 18:21Reliability And Citations
- 21:14Cost And Scaling
- 23:19Adoption In The IDE
- 25:23Ready Made Reports
- 30:35Beyond Developers
- 31:48Business Technical Mapping
- 34:20Key Takeaways
- 36:02Implementation Timeline
- 36:39How To Build Yours
- 37:54Closing Thanks
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