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Auto-Sync Your Docs, SDKs and Examples for LLMs and AI Agents
- ashu_trv 1y agoKeeping documentation and SDK updates aligned with evolving "LLM contexts" can quickly overwhelm dev teams. At VideoDB, we've built an open-source solution—Agent Toolkit—that automates syncing your docs, SDK versions, and examples, making your dev content effortlessly consumable by Cursor, Claude AI, and other agents. Ready-to-use template available.
- jlcases 1y agoThis touches on a critical issue I've encountered in AI development: the synchronization between documentation and rapidly evolving AI systems. Here are my key learnings: 1. Version Control for Context: I've found that treating context as a first-class citizen in version control is crucial. Each model iteration should have its context version tracked alongside code changes. 2. Bidirectional Traceability: In my experience, implementing bidirectional links between documentation and code/model behavior helps catch context drift early. I use a MECE framework to ensure completeness. 3. Automated Validation: I've implemented hooks that verify documentation consistency with model behavior during CI/CD. This caught several instances where model updates silently broke assumptions in the docs. The challenge isn't just keeping docs in sync, but preserving the why behind decisions across model iterations.
- ashu_trv 1y agoYeah, we tried to solve the 1 and 3. 2nd is still an open problem. Can you share more about the MECE?