Comie.dev
Production context for AI with logs, DBs, and error tracking
76 followers
Production context for AI with logs, DBs, and error tracking
76 followers
Connect Claude Code, Cursor, and Codex to your production stack so AI can debug logs, analyze databases, and understand real production behavior.
Comie.dev
Bridging the gap between logs and AI context is a huge pain point. Does Comie support real-time streaming of logs into an LLM context window, or is it batch-based?
Comie.dev
@rivra_dev Hey CTO here, it streams data into your LLM context directly inside your agent, so it acts like an actual input for your LLM to think with actual data
This hits a real pain point — I’ve had Claude Code write what looked like solid error handling, then realized it had zero context on our actual Sentry patterns. How do you handle schema drift when the DB changes? Does the agent need explicit migration context or does it infer from query errors?