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RepoGym
Validate the task before you benchmark the coding agent
Turn repository tasks into repeatable coding-agent evaluations. Define a task, check that doing nothing fails and the reference fix passes, then inspect scores and trajectories. Includes Python and JavaScript examples, composable graders, task mining and HTML reports. Free, MIT-licensed Python library. Start from the source checkout; local execution is for trusted code.
I built RepoGym around a question that gets lost in agent benchmarks: can we trust the task itself?
A broken baseline, a leaked test or a flaky grading command can make an agent score look meaningful when it is not. RepoGym puts the repository snapshot, test expectations, constraints and reference solution into a task you can inspect and rerun.
Start with the included examples, validate the baseline and golden solution, then plug in your own agent. The library records trajectories and produces a standalone HTML report. It is free and MIT licensed; optional model providers have their own costs.
I would love feedback from people building coding-agent evaluations: which validation failure has cost you the most time, and what would make this fit your repository?
Source: https://github.com/shi1720/repogym
Docs: https://shi1720.github.io/repogy...
More of my work: https://shivamgupta.web.app/
Connect: https://www.linkedin.com/in/shiv...
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About RepoGym on Product Hunt
“Validate the task before you benchmark the coding agent”
RepoGym was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #26 on the daily leaderboard. Turn repository tasks into repeatable coding-agent evaluations. Define a task, check that doing nothing fails and the reference fix passes, then inspect scores and trajectories. Includes Python and JavaScript examples, composable graders, task mining and HTML reports. Free, MIT-licensed Python library. Start from the source checkout; local execution is for trusted code.
RepoGym was featured in Developer Tools (519.9k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 114.2k products, making this a competitive space to launch in.
Who hunted RepoGym?
RepoGym was hunted by Shivam Gupta. 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.
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Shivam Gupta