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Supercov
Coverage so coding agents can work overnight
Supercov turns your coding agent into a pseudo-software factory. It’s a test coverage tool for coding agents so they could work in a loop and keep writing tests where it makes sense.
Code just became cheaper with AI but review and verification is as hard as it was. Tests are great, but current AI slop needs much more exhaustive testing.
I built a test coverage tool for coding agents so they could work in a loop and keep writing tests where it makes sense.
Here’s Supercov: - Wraps any JavaScript/TypeScript/Python/Rust test suite - Provides MC/DC code coverage (NASA uses this) - Free and open source
Easiest way is just to give your agent a prompt: Measure coverage with npx supercov and write one test.
Goal is building the deepest code coverage suite for coding agents thats works automagically in any language and any test suite. I feel code verification is the missing piece for software factories to actually work.
I’d particularly be interested in feedback on compatibility and if your agent ran into any problems.
Supercov was submitted on Product Hunt and earned 7 upvotes and 1 comments, placing #47 on the daily leaderboard. Supercov turns your coding agent into a pseudo-software factory. It’s a test coverage tool for coding agents so they could work in a loop and keep writing tests where it makes sense.
On the analytics side, Supercov competes within Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Supercov performed against the three products that launched closest to it on the same day.
Who hunted Supercov?
Supercov was hunted by Domas Bitvinskas. 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 Supercov including community comment highlights and product details, visit the product overview.
Domas Bitvinskas
Hello PH!
Code just became cheaper with AI but review and verification is as hard as it was. Tests are great, but current AI slop needs much more exhaustive testing.
I built a test coverage tool for coding agents so they could work in a loop and keep writing tests where it makes sense.
Here’s Supercov:
- Wraps any JavaScript/TypeScript/Python/Rust test suite
- Provides MC/DC code coverage (NASA uses this)
- Free and open source
Easiest way is just to give your agent a prompt: Measure coverage with npx supercov and write one test.
Goal is building the deepest code coverage suite for coding agents thats works automagically in any language and any test suite. I feel code verification is the missing piece for software factories to actually work.
I’d particularly be interested in feedback on compatibility and if your agent ran into any problems.
Contributions and bug reports are very welcome: https://github.com/supercorp-ai/...