The autonomousAI QA engineer
Jina builds a living model of your codebase and infrastructure, then uses it to test every PR.It catches the critical issues and ships the fixes before they ever reach your users.
Backed and built by a team from
A living model of your product
Code, infra, prod signals, and support — ingested into one causal graph that tracks how your product is wired and how it changes over time.
- One shared representation across the stack
- Links commits, deploys, and incidents
- Refreshed continuously, never stale
Targeted scenarios on every PR
Jina traces a diff's impact paths through the world model and generates the scenarios most likely to break — the edge cases users actually hit.
- Reasons over the diff's blast radius
- Surfaces edge cases your suite misses
- Scenarios update as the PR evolves
5 scenarios generated
Scenarios run in parallel
Hundreds of code-level tests and simulations run at the same time, so a full PR sweep finishes in seconds instead of hours.
- Hundreds of scenarios at once
- Code-level tests and simulations
- Full traces captured on every run
9 scenarios in parallel
Failures grouped, root cause traced
Related failures collapse into one parent issue with the root cause explained — not a wall of red, just the fix path.
- Linked failures, one focused report
- Root cause traced through the model
- One-click Fix PR, pre-drafted
- qty-overflowfails on /checkout
- discount-stackfails on /checkout
- currency-switchfails on /checkout
applyCoupon() in lib/coupons.ts doesn't refetch the cart total after a currency change, so the discount validates against a stale subtotal.
Ships fixes and makes your product self-healing
Jina opens, validates, and merges the fix PR. Autonomous by default, human-in-the-loop on demand. Regressions patched before users see them.
- Autonomous or human-in-the-loop
- Re-runs the full suite before merge
- Ships behind feature flags
Everything an in-house QA team would do — running 24/7.
Tests on every PR
Jina runs the moment a pull request opens — no checklists, no manual triage, no waiting on a flaky CI lane.
Auto-generates scenarios
The world model picks the test cases your team would think to write — and the ones they wouldn't.
Ships fixes and makes your product self-healing
When the root cause is clear, Jina opens, validates, and merges a fix PR. You stay in the loop only when you want to be.
Catches the issues that matter
Severity-aware grouping surfaces the regressions your users feel — not the noise from a passing 0.3% flake.
Root-cause every failure
Each issue lands with a traced explanation — not a stacktrace dump — so engineers spend their time fixing, not investigating.
Hermetic by default
Every scenario runs in its own isolated sandbox with full traces and logs captured automatically.
Enterprise-grade security
Jina is built for teams whose product is the business. Hermetic by default, least-privilege end-to-end, and ready for the controls your security team will ask about.
Hermetic execution
Every scenario runs inside an ephemeral, isolated sandbox. Code, traffic, and traces are scoped to the run and torn down on completion.
Your data, your perimeter
Application data never leaves your infrastructure. Bring-your-own-cloud and private VPC deployment are first-class.
Least-privilege by design
Jina holds scoped, revocable credentials. It only touches the surfaces it's been explicitly granted, audited end-to-end.
Compliance-ready
Built to meet SOC 2 and the controls regulated industries expect — with a full audit trail behind every fix it ships.
Frequently asked questions
Everything you'd want to know before letting an AI QA engineer ship to production.
Jina is an autonomous AI QA engineer. It builds a continuously updated model of your product — code, infrastructure, runtime signals, support — then uses that model to test every PR, find the issues that matter, and ship the fixes. The default mode is fully autonomous, but you can keep a human in the loop on any step.
It's a causal graph of your product: how the codebase, infra, runtime behavior, and user-reported issues all connect, and how each of those has changed over time. Without it, generated tests are guesses. With it, Jina knows the blast radius of a diff and can target the scenarios most likely to break — including the edge cases your existing test suite wasn't written to cover.
When a PR opens, Jina traces its impact paths through the world model. It looks at what code changed, what depends on it, where similar changes have caused incidents before, and what real user flows touch the affected surfaces. Scenarios are ranked by likely severity, not coverage-for-coverage's-sake.
Each scenario runs in its own hermetic, isolated environment as a code-level test or simulation against your services. Hundreds run in parallel and finish in seconds. Every run captures logs, traces, and a deterministic replay so engineers can investigate without re-running anything.
By default, yes. When Jina has a clear root cause and the fix passes the full scenario suite, it opens a fix PR, validates it, and merges behind a feature flag. You can dial autonomy down per-repo: review-required, draft-only, or fully manual. The audit trail is the same in every mode.
Synthetic users (our other product) creates self-healing prompt-driven E2E tests you author and maintain. The autonomous QA engineer is the layer above that — it decides what to test, runs it, root-causes the failures, and ships the fix. The two share an engine but solve different problems. You can use either independently or both together.
No. Jina reads production signals (errors, metrics, support tickets) through the integrations you grant it, but scenarios run in isolated sandboxes against staging or preview deployments. You can also deploy Jina entirely inside your own VPC if your security team prefers.
Application data never leaves your infrastructure. Jina holds scoped, revocable credentials and only touches the surfaces you've explicitly granted. Bring-your-own-cloud and private VPC deployments are supported, and every action Jina takes is auditable end-to-end.
Web applications today — any framework, any backend, any cloud. Native mobile and desktop are on the roadmap. If your stack runs in CI, Jina can plug in.