TestSprite 3.0 - Let a fleet of parallel agents test your app in minutes
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TestSprite generates and runs end-to-end tests for your app, autonomously.
For backend, we can now generate complex integration tests with dynamic variables, auto-cleanup, and Data Flow debugging.
For frontend, we now send a fleet of parallel AI agents to explore your app first — clicking through every feature like real users, then feeding results into testing. We're the first to do this.
3.0 also adds auto-heal for UI drift, auto-auth for regression, and a CLI for Claude Code, Codex users.


Replies
Congrats on the launch! how much infrastructure is typically required to run large regression suites nightly?
Congrats on 3.0! The parallel exploration fleet sounds wild. Quick Q on the CLI integration: can we run targeted test suites directly from the terminal, or does it always trigger the whole pipeline?
Congrats on the launch! TestSprite 3.0 looks like a massive step forward for autonomous testing.
Congrats on the 3.0 launch, Yunhao and team! The parallel exploration fleet sounds like a massive shift in how we approach autonomous E2E testing. Usually, the biggest bottleneck with AI testing agents is the sheer noise and stabilizing the test paths. How does the fleet map out complex user journeys (like multi-role workflows or gated dashboards) without getting stuck in infinite loops? Excited to see how this cuts down manual script maintenance!
Spellar AI
Congrats on the launch!
Parallel testing agents sound useful. How do you handle flaky state like auth setup, seeded data, and third-party APIs so the agents report product bugs instead of environment noise?
Brief
This sounds awesome, particularly PRD to test case development! I gotta connect the MCP to Brief.
Parallel agents for testing is the right approach running tests sequentially is the bottleneck nobody talks about. Does it work for iOS/mobile apps or mostly web? That's where I'd love to use this.
StoreClaw
Really curious — when the agents explore an app, do they sometimes discover workflows or edge cases that developers themselves overlooked?