One-click audit reveals how coding agents really treat your code.
See StackBench in Action
Most documentation fails when agents try to use it. Here's how we fix that.
Write docs, ship code, hope agents understand it
Manually test with ChatGPT, get inconsistent results
Find out in production that agents can't use your API
Real agents test your code across multiple scenarios
Get specific fixes ranked by impact on agent success
Track agent-readiness over time as your code evolves
StackBench simulates how coding agents actually use your library documentation. We extract real use cases, then test if agents can implement them successfully.
We analyze your documentation to find realistic scenarios that developers would actually implement.
Coding agents attempt to implement each use case using only your documentation as a guide.
Detailed insights into how well your documentation works with coding agents
See exactly which use cases agents can implement successfully
Understand why agents fail and what's missing from docs
Full execution logs showing agent decision-making process
Whether you're building for millions or for your team, StackBench helps you get ready for the AI-first future.
Ensure your open source project is ready for the AI Agents era
Make your internal APIs agent-accessible across the organization
Ship features that work seamlessly with AI coding assistants
Join developers using StackBench to improve their documentation quality through real implementation testing.
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