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Your coding agents build what the spec says. Make sure the spec is right.
Spec2TestAI questions the requirement before the agent sees it, records the answers as decisions, and delivers the approved context into the tools your developers already use.
Speed moved the problem.
Code arrives faster than it can be checked. Two 2026 industry reports put numbers on it.
of developers say they do not fully trust AI-generated code to be functionally correct. Fewer than half, 48%, always check it before committing.
more pull requests merged with no review.
more incidents per pull request.
Trust and checking: Sonar, State of Code Developer Survey, 8 January 2026, more than 1,100 developers. Pull requests and incidents: Faros, The AI Engineering Report 2026: The Acceleration Whiplash, telemetry from 22,000 developers; change inside each organization between its lowest and highest AI adoption periods. The incident figure is a ratio, not a probability. Both are vendor reports.
Requirements an agent can be held to.
Requirements that have been questioned
Every story is checked on 32 quality measures before it reaches a developer or an agent. What it leaves open goes to a person who can decide.
Decisions people and agents can be held to
Each answer is kept on record, with who decided and when, and informs the work that follows.
Approved context in the editor
Spec2Code AI delivers the requirement, your standards and your security policy into GitHub Copilot, Cursor, Windsurf, Cline and Claude over MCP.
No access to your source code. It works from your requirements in Jira or Azure DevOps.
Start with one backlog.
We score your stories and list the questions they leave open, before an agent builds from them. Fixed fee.
Get your backlog scored → — request a demo Request a demo