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Corvin
AI that debugs your stack, not just talks about it
Most AI debugging tools are chatbots you paste stack traces into. Corvin is different, it's a CLI agent that plugs into your running services over WebSocket, watches real requests, and traces failures across service boundaries: contract mismatches between services, missing config for an edge-case input, race conditions between timeouts and async completions. Built for multi-service backends where the bug isn't in one file, it's in the seam between two services.
Hey Product Hunt 👋
I built Corvin because I was tired of AI debugging tools that only see the code you paste in front of them. Real bugs, especially in multi-service backends, live in the gaps: a `fullName` field one service sends and another expects as `firstName`/`lastName`, a tax config missing a country code, a timeout that fires 1 second before the async job it's racing against completes.
Corvin is a CLI agent that connects to your actual running services over WebSocket, watches a failing request end-to-end, and traces the fault across service boundaries, not just within one file.
How it works:
1. Run the CLI, point it at your local stack
2. Trigger the failing scenario
3. Corvin walks the real request path across services and surfaces root cause, with the evidence, not a guess
Would love feedback from anyone running multi-service or microservice backends, especially where you've been burned by "looks fine in isolation, breaks in prod" bugs.
Happy to answer anything about the architecture in the comments.
About Corvin on Product Hunt
“AI that debugs your stack, not just talks about it”
Corvin was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #131 on the daily leaderboard. Most AI debugging tools are chatbots you paste stack traces into. Corvin is different, it's a CLI agent that plugs into your running services over WebSocket, watches real requests, and traces failures across service boundaries: contract mismatches between services, missing config for an edge-case input, race conditions between timeouts and async completions. Built for multi-service backends where the bug isn't in one file, it's in the seam between two services.
On the analytics side, Corvin competes within Productivity, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Corvin performed against the three products that launched closest to it on the same day.
Who hunted Corvin?
Corvin was hunted by Subhadip Saha. 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.
For a complete overview of Corvin including community comment highlights and product details, visit the product overview.
Subhadip Saha