Builds context around your system
Jina learns how your code, infrastructure, and past issues fit together. That context guides every investigation.
AI QA Engineer
Jina is an autonomous AI QA engineer. It simulates and tests your code changes in realistic production scenarios to catch bugs that only appear at runtime.
Backed and built by a team from
The Jina Difference
Predict if your PR will break in production
Jina executes your code in a long-horizon QA harness, using a context graph to find deep runtime issues static review misses.
Issues
Issues
How it works
Plans production scenarios
On every PR, Jina combines its understanding of your system with the code change to plan critical production scenarios, including the ones most likely to expose a bug.
Simulates every scenario
Jina gives each scenario to its own investigation agent and shell. This swarm of agents simulates the scenarios, runs the code, probes the system, and reports its findings.
Learns from every investigation
Jina learns from each result. Those results flow back into the planner, which creates new scenarios to investigate deeper issues.
Reports issues and a merge score
Jina groups related findings, removes noise, and returns the issues that matter with a merge score for the PR.