An experimental benchmark for evaluating whether AI coding agents can repeatedly generate software from a durable, implementation-independent verification bundle.
Most AI coding benchmarks evaluate issue resolution against an existing repository. Regenerable Software Lab treats source code as a replaceable candidate implementation and measures whether agents can satisfy progressively stronger verification profiles from the same specification bundle.
The first benchmark is a small HTTP order-pricing API. Multiple coding models and agent harnesses receive the same specification and must produce an implementation that passes three verification profiles spanning public tests, hidden behavioral tests, mutation testing, and operational constraints.
Install, Build, Lint, Typecheck, Public Tests, Contract Validation
ImplementedHidden Tests, Property Tests, Mutation Testing
ImplementedDependency Policy, Secret Scanning, Performance Budgets
In Progress