Your product-aware AI QA engineer
Ovi learns how your product should behave, then helps your team find requirement gaps, functional bugs, and risky user flows before release.
QA from product context to release decision
FirstQA connects the sources that explain your product: code, tickets, documentation, and team decisions. Ovi uses that context to make QA findings specific to your product instead of generic to the diff.
The result is a focused QA loop for teams that need more coverage without adding another manual handoff.
- Analyze requirements and tickets before development starts
- Review pull requests for functional and user-facing risk
- Create prioritized test scenarios and reusable coverage
- Run browser or API checks when your environment is configured
- Return evidence-backed GO / NO-GO release guidance
An AI QA teammate, not another dashboard
Ovi works where your team already works. Request analysis in GitHub, Linear, Jira, the FirstQA CLI, or a connected coding-agent workflow through MCP.
Your team keeps ownership of the code, permissions, fixes, merge decisions, and release policy.
- GitHub pull request review and browser test runs
- Linear and Jira ticket analysis
- CLI and MCP workflows for coding agents
- Optional human QA support for exploratory and complex releases
See FirstQA in action
Frequently asked questions
What is an AI QA engineer?
An AI QA engineer applies product context, requirements analysis, change review, test planning, and test execution to help a product team make safer release decisions. FirstQA provides these capabilities through Ovi.
Does FirstQA replace a QA team?
No. Ovi handles repeatable analysis and configured test work while your engineers and QA professionals keep ownership of judgment, exploration, customer impact, and release policy.
What does Ovi need access to?
Ovi uses only the repositories, tickets, documents, decisions, and test environments that your team authorizes for the workflow.
Bring Ovi onto your team
Start with a real analysis, run the free quality report, or apply for invite-based early access.
See a real analysis Apply for early access