Platform
AI Software Testing.
Built for the build loop.
tailtest is the open-source testing platform for software built with AI coding agents. Today it covers per-edit testing during the build loop. The roadmap extends across end-to-end, security, regression, and beyond -- everything that needs verification when AI is writing more code than humans can manually review.
Where most teams sit today
Most teams shipping with Claude Code, Cursor, Codex, or Cline operate at Level 0 (no tests, vibe-coded) or Level 1 (tests written manually after the AI builds). Both are unsustainable as agent output scales. tailtest's hook-based testing lifts you to Level 3 (AI runs tests after every edit) with zero change to how you work. The roadmap takes you to Level 5: full end-to-end assurance with security, regression, and self-healing in the same loop.
A separate maturity-ladder breakdown is in the works as a deeper piece; for now this section is the short version.
Shipping today
On the roadmap
Capabilities not yet shipping. Q4 2026 items have concrete designs; "exploring" items are in scope but timing is open. Honest framing matters: we do not ship vapor.
End-to-end testing
Roadmap Q4 2026Stitch agent-edit unit tests together with full app-level user-flow tests. For vibe-coded apps shipping faster than manual QA can keep up.
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Security testing
Roadmap Q4 2026OWASP-aligned scans of AI-generated code. SQL injection, XSS, auth bypass, secrets in code, CORS misconfigurations. Built for the 53 percent of vibe-coded apps that ship with security holes.
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Regression testing
Roadmap Q4 2026Lock in behavior the agent already got right. When the next agent run touches the same surface, the regression suite catches the silent breakage before it ships.
Visual regression
ExploringScreenshot-diff testing for AI-built UI. Detect when the agent reshaped a component that was already approved.
Integration testing
ExploringMulti-service test scenarios for agents that touch APIs, databases, and external integrations in the same turn.
API assurance
ExploringContract-level testing for AI-built endpoints. Schema drift detection. OpenAPI conformance.
Performance testing
ExploringCatch perf regressions in AI-generated code. Identify the n+1 query the agent introduced or the synchronous network call in a hot path.
Self-healing test suites
ExploringWhen the agent renames a method or moves a file, the test suite adapts automatically instead of breaking. R12 classification already does some of this today; full self-heal is on the roadmap.
Why a platform, not just a plugin
When AI coding agents write more code than the human review loop can absorb, every layer of testing breaks down at once. Unit tests get skipped. Integration tests go stale. E2E tests catch the symptoms but not the cause. Security gaps slip in silently because no one wrote a test for the threat model. A point solution that only handles unit tests (or only handles E2E) leaves the rest broken.
tailtest's design assumes the whole testing stack has to be reimagined for software where humans are not the primary author. Per-edit testing is the foundation because catching breakage at the smallest scope is cheapest. End-to-end, security, regression, and visual testing build on top of that foundation as the platform matures.
We are open about which pieces are shipping today and which are on the roadmap. Anything not in the "Shipping today" section above does not yet work. If you need it now, the comparison page lists complementary tools that already cover those dimensions.