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Our Approach

Most AI review tools read a diff once. Jina investigates the running system until it has evidence your team can act on.

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Run the code

• Executes focused tests, services, and API or UI checks.
• Recreates the state and conditions behind risky flows.
• Writes targeted probes when existing tests miss the path.

Benefit: Catch integration, state, and behavior bugs that static review cannot prove.

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Trace the real blast radius

• Connects code, infrastructure, runtime behavior, and past issues.
• Follows dependencies across services, contracts, and product flows.
• Finds non-obvious paths that ordinary code search misses.

Benefit: Focus testing on what is actually at risk instead of reviewing every file equally.

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Keep investigating

• Runs on Jina’s long-horizon harness, not a single prompt.
• Uses a swarm of agents to plan, investigate, challenge, and review.
• Feeds evidence from each round into the next.
• Replans when it finds another dependency or failure path.

Benefit: Go deeper than a one-shot prompt or a single sandbox pass.

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What your team gets

• Deeper runtime bugs caught before merge.
• Fewer false positives and less review noise.
• Clear root cause, impact, and evidence for every issue.
• A merge score your team can use to make the call.

Next, follow a review from context to merge score in How Jina works.