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AI QA engineer for pull requests

Jina is a fully autonomous testing agent that understands the impact of a code change and runs your application to investigate the paths most likely to break. Instead of stopping at static analysis, Jina maps your code, infrastructure, runtime behavior, and past issues into a shared context layer. It uses that context to plan targeted runtime investigations, review the evidence, and return a concise list of actionable issues with a merge score.

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What Jina does

For each pull request, Jina:

1. Builds and updates a connected view of your system.
2. Traces the blast radius of the proposed change.
3. Coordinates adversarial investigations around the riskiest paths.
4. Executes targeted probes and simulations against a staging or preview environment.
5. Reviews the evidence, removes low-confidence noise, and groups related failures.
6. Reports the root cause, impact path, and merge risk before your team decides to merge.

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Why runtime investigation matters

Static review can identify suspicious code patterns, but many production bugs only appear when components interact: a rollout mode changes, a retry crosses a state boundary, or an API contract disagrees with persisted data. Jina tests those hypotheses by executing the relevant flow. The result is deeper bug detection with fewer false positives than a review that only reads the diff.

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Designed for engineering teams

Jina supports web applications across frameworks, backends, and clouds. If your application runs in CI and exposes a staging or preview environment, Jina can investigate it without requiring probes against production. Start with How Jina works, or review the security model before evaluating access. To try Jina with your engineering team, request access on the Jina website.