Hey everyone 👋
I’m Yutish, cofounder of Comie.
While using AI coding tools like Claude Code and Cursor, we realized something strange:
AI can write production code… but it has no idea what’s actually happening in production.
It can’t see:
* logs
* database scale
* Redis state
* analytics
* production errors
So developers still end up deploying code just to see if something breaks.
We thought that made no sense.
So we built Comie.dev a production context layer for AI coding agents.
You connect your production stack (Postgres, Redis, Sentry, PostHog, etc.) and now your AI can:
* inspect logs
* analyze production queries
* debug backend issues
* trace production errors
directly inside Claude Code, Cursor, Codex, and more.
The craziest part is how simple it is:
1. Select your tools
2. Generate tokens
3. Paste one command
Setup takes under 60 seconds.
We’re still very early and would genuinely love feedback from developers here.
Happy to answer everything in the comments ❤️
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?
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?
About Comie.dev on Product Hunt
“Production context for AI with logs, DBs, and error tracking”
Comie.dev launched on Product Hunt on May 14th, 2026 and earned 74 upvotes and 4 comments, placing #25 on the daily leaderboard. Connect Claude Code, Cursor, and Codex to your production stack so AI can debug logs, analyze databases, and understand real production behavior.
Comie.dev was featured in Productivity (651.7k followers), SaaS (42k followers) and Developer Tools (512.4k followers) on Product Hunt. Together, these topics include over 244.4k products, making this a competitive space to launch in.
Who hunted Comie.dev?
Comie.dev was hunted by Yutish. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Comie.dev stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Yutish