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 4th launch from TestSprite. View more
TestSprite 2.1
Launching today
Meet the missing layer of the agentic workflow. TestSprite MCP connects to your IDE and autonomously generates your entire test suite — no prompting or manual work. New in 2.1: a 4–5x faster testing engine that finishes in minutes, a visual test editor where you click any step to see a live snapshot and fix it instantly, and GitHub integration that auto-runs your full suite on every PR against a live preview deployment — then blocks the merge if anything fails. Your AI codes. We make it right.
Free Options
Launch Team / Built With
TestSprite
Hi everyone! I'm Yunhao, CEO and co-founder of TestSprite 👋
Thrilled to share what's new in TestSprite 2.1!
When we launched 2.0, the response blew us away. Thousands of teams told us the same thing: "This is the missing piece — we were shipping AI-generated code and just hoping it worked." That feedback pushed us to go even further.
2.1 is about making the MCP workflow faster, more precise, and enforcing it all the way to production.
🔌 Quick recap: TestSprite MCP
At the core of TestSprite is the MCP Server — it connects directly to your AI coding environment (like Cursor), reads your spec, and autonomously generates a complete test plan, writes all the test cases, executes them, and sends fix instructions back to your coding agent. AI validating AI — no manual testing, no prompting.
2.1 builds on top of that with three major upgrades:
⚡ 4–5x Faster Testing Engine
We rebuilt the AI testing engine from the ground up. What used to take 25 minutes now runs in about 5. Verification finally keeps up with the speed of AI code generation.
🖱️ Visual Test Modification Interface
If the MCP generates a test step that's slightly off, you no longer restart from scratch. Click into the step, see a live snapshot of exactly that moment in the test run, and fix it in seconds — swap the locator, change the interaction type, redirect the flow. Point and click. No code.
🔗 GitHub Integration — Automatic PR Testing
Once your MCP-generated tests are committed to your repo, the GitHub integration takes over. Connect via the TestSprite GitHub App (no workflow files needed) or GitHub Actions for custom CI/CD pipelines. On every pull request, TestSprite automatically runs your full test suite against the preview deployment — on Vercel, Netlify, Render, Railway, Fly.io — and the TestSprite bot posts a detailed pass/fail summary directly on the PR. Enable merge blocking to make sure failing code never reaches production.
The full loop: MCP generates and validates your tests locally → GitHub enforces them on every merge. Automatically.
If your team is building with AI, TestSprite 2.1 makes sure every PR is production-ready — without lifting a finger.
Free tier available. Give it a try and let us know what you think! 👉 https://testsprite.com
Thank you for the incredible support since 1.0 — we're building this with you, and we can't wait to hear your feedback 🙌
BlocPad - Project & Team Workspace
@jiao_yunhao the MCP approach is clever — having it plug directly into Cursor/IDE means zero context switching. curious about one thing tho: how does it handle tests for components with heavy user interaction? like drag-and-drop or canvas-based UIs. those always seem to break visual testing tools
The 'missing layer' framing is exactly right — the real unlock isn't test generation speed, it's closing the 'AI codes but nobody validates it actually works' loop at the workflow level. The hardest part of AI-native testing is the semantic oracle problem: when AI generates code, the ground truth for 'correct' is often fuzzy. Does TestSprite handle purely structural/functional assertions (output matches expected), or does it also do semantic validation — e.g. 'this UI flow still makes sense for the user'? That gap is where most AI testing pipelines quietly break down.
TestSprite
Excited to see TestSprite 2.1 live on Product Hunt! 🚀
Automating end-to-end testing is such a big pain point for many teams, and the idea of generating tests 10x faster with an AI agent is really compelling. The visual editor for adjusting test flows in plain English is a nice touch too—much easier than maintaining complex scripts. The new GitHub Actions integration also makes a lot of sense for CI workflows.
Mom Clock
@shawnie_shan This is awesome! I love how simple it is to tweak test flows using plain text.
TestSprite
@justin2025 Thank you! That was exactly our goal—making test flows easy to adjust without the usual scripting overhead.
Have you implemented any sort of caching or parallelization strategies within the Testing Engine to mitigate the increased load and potential slowdowns that might occur when dealing with large-scale, complex AI-generated codebases?
Minara
TestSprite
@frank_li13 Thank you so much for your support!
TestSprite
@frank_li13 Thank you for your support!
PROCESIO
Congratulations, looks great!
TestSprite
@madalina_barbu Thank you for your support!