Agents that ship real code

Coding agents are only as good as the feedback they learn from. With verifiable rewards — tests passing, builds compiling, diffs applying cleanly — agents can be trained end-to-end against real engineering tasks instead of proxy benchmarks.

Use the Environments Hub to compose repositories, toolchains, and test harnesses into reproducible RL environments, then train with Prime-RL across on-demand or reserved clusters.

From sandbox to production

Every rollout runs in isolated sandboxes, so agents can execute code, browse, and call tools safely at scale. What passes in training is what ships in production.