Teams building or running AI coding agents against a JS/TS codebase
Test feedback for AI coding agents
Give AI coding agents low-latency, structured test results with --json and --machine so they can iterate without scraping terminal output.
The problem
Agents that run tests need fast, machine-readable results. Scraping ANSI-colored Jest output is brittle, and cold Jest startup on every agent step adds latency to the loop.
How rjest helps
rjest emits structured --json / --machine output with file paths, test names, durations, and error details, and serves it from a warm daemon so each agent step is fast.
What that looks like in practice
- ▸Stable, structured output that agents can parse directly.
- ▸Warm-run latency keeps the agent iteration loop tight.
- ▸Error details are included, so agents can localize failures without a second run.
- ▸Runs the team's real jest.config — the agent tests what humans test.
Try it on this workflow
See the architecture, browse more use cases, or read the guides.