TestSprite is the easiest AI agent for frontend and backend software testing, automating the entire testing workflow—from test planning and code generation to execution and debugging. With natural language interaction, seamless coverage for both frontend and backend, and the ability to cut testing costs by up to 90%, it’s the ultimate tool for developers to save time and deliver high-quality software faster.
This is the 5th launch from TestSprite. View more
TestSprite 3.0
Launched this week
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.
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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!
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?
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?
Curious how TestSprite handles visual regression for design tokens specifically — if a colour or spacing token changes upstream in a design system, does the agent catch that drift across every affected component automatically, or is visual diffing still a separate manual step on top of the functional tests?
As a solo dev building small SaaS tools, testing is always the first thing I skip when rushing to ship. The "90% cost reduction" claim is bold — curious how it handles edge cases in backend API testing specifically. Does it work well with lightweight stacks like Vercel + serverless functions?
@jiao_yunhao @shawnie_shan , One thing I’m curious about: have the exploration agents ever uncovered product problems rather than software bugs? In my experience, some of the most expensive failures aren’t broken feature, they’re perfectly working workflows that users misunderstand, abandon, or use in unexpected ways. Have you seen TestSprite surface those kinds of insights during exploration, or is it intentionally focused only on test generation?