How it works
An agentic QA workflow for every API.
12 agents that test, document, monitor, and protect your APIs on every deploy. Dino starts silent. It earns trust. Then it acts.
AI made shipping 10x faster. But quality stayed manual. APIs break silently. Docs drift. Health endpoints lie.
The gap is structural. You cannot hire fast enough. Manual QA does not scale with deploy velocity.
Dino closes that gap.
The workflow
Everything a QA engineer does. Automated.
Tests
Tests every operation on every deploy
Schema validation, auth boundaries, rate limits, error codes. Every operation, every time.
Documents
Documents what changed and what drifted
Undocumented operations flagged. Docs that no longer match behavior surfaced. Updated every scan.
Monitors
Monitors what matters, ignores what does not
Findings ranked by confidence against your baseline. Not generic thresholds.
Writes tests
Writes regression tests from every finding
Test cases generated in your framework: Jest, Pytest, or Go. Tests you own, in your repo.
Raises PRs
Raises PRs with fixes for your team to review
Draft pull requests with the fix and the test. Your team reviews, approves, merges.
Shadow Mode
Earns trust before it takes action.
Every other approach to quality starts at maximum noise. Dino does the opposite. It starts silent and earns the right to act, one level at a time.
"Dino is watching"
Watches live traffic. No action taken.
"Dino would flag this"
Flags issues in real time. No blocking.
"Dino would suggest a fix"
Generates fix suggestions and draft PRs.
"Dino is protecting"
Blocks requests that violate contract.
Watches your live traffic silently. Builds a behavioral baseline: normal response times, call patterns, schema usage.
Starts flagging findings ranked against your baseline. You see what changed, when, and why it matters.
Generates regression tests and opens draft PRs from findings. Your team reviews and merges.
Runs in CI and blocks deployments that break contracts or fail auth boundaries. Earned, not configured.
Test generation
Findings become tests you own.
Most quality tools stop at the alert. Dino keeps going. Every finding can become a regression test, written in your framework, committed to your repo.
Dino detects a finding
POST /payments returns amount as a string. Schema declares integer.
Dino generates a regression test
A test in your framework that asserts the correct type.
Dino opens a draft PR
The test is submitted for your team to review and merge.
The test prevents recurrence
Runs in CI on every future deploy. The same finding never ships again.
Generated tests are suggestions until your team merges them. Dino never modifies existing human-written tests. You own the code.
The flywheel
Every scan makes Dino smarter about your API.
Dino does not apply generic rules. It learns what normal looks like for your API. Every finding is ranked against your history, not a checklist. A new competitor starts from zero. Your Dino instance has months of behavioral context.
Every agent produces the same output for the same input. No model variance, no drift. Deterministic verification is what makes autonomous action safe.