Test Maze for engineering leads

Make agent-written code defensible.

Your team adopted coding agents and velocity went up. So did the regressions. Test Maze is one verifier every agent on the team speaks, with a recorded trail of what was tested, what passed, what was waived and which commit it all applied to.

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SOUND FAMILIAR?

What goes wrong today

No independent signal

The agent says tests pass. The tests, the results and the verdict all come from the same place that wrote the code.

No way to mandate coverage

Ask for accessibility tests on every feature and you get one trivial test. Nothing enforces the bar.

Tooling fragmentation

Every agent on the team runs tests differently. There is no one surface to hold them all to the same standard.

WITH TEST MAZE

What changes

One contract, every agent

MCP: tools/list · resources/read · prompts/get

Claude Code, Cursor, Cline, Gemini CLI, Codex CLI or any MCP client. No plugins to maintain, no bespoke integrations.

Evidence, not assurances

gitSha · branch · workingTreeClean

Every verdict is pinned to the exact code that ran, with waivers and frozen baselines respected. The audit trail you need when a regression reaches production.

The same bar on every run

pdlc.verify · reliability KPI

Deterministic verdicts with failure buckets and reliability scoring. The rules do not change with the agent or the mood of the model.

Coverage you can require

coverage.gap_for_feature

Eight testing facets per feature, gaps named by criterion number. “Every feature covers permissions” becomes checkable.

Built for your perimeter

tmt_* tokens · BYOK · TESTMAZE_MCP_URL

Per-workspace tokens isolate every team, bring-your-own AI keys are AES-256-GCM encrypted, and a private deployment keeps the whole loop inside your network.

SEE IT MOVE