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.
Free Options
Launch Team / Built With
Do you guys use sandboxes? How do you manage auth for testing?
TestSprite
@thomas_park4 Great question Thomas 🔐
Yep — every test run spins up in its own isolated sandbox, so runs never step on each other and nothing leaks between sessions. Fresh browser, fresh state, every time.
For auth today:
Frontend testing — drop in test credentials (username/password) and the agent logs in like a real user through your actual login UI. We store them encrypted, no funny business.
Backend / API testing — we handle token refresh automatically so long-running test suites don't fall over halfway through when a token expires.
That covers most of what folks need on day one. Trickier flows (magic links, OTP, OAuth/SSO) are on the roadmap — we'd rather ship those right than ship them rushed 🛠️
What's the auth setup you're working with? Always helpful to know what we should prioritize!
Congrats on 3.0!
As a solo iOS founder with Claude Code writing SwiftUI all day, my "AI codes it" reality is identical to your web users, but my validation story is far worse. There's no live-URL equivalent for an iOS build for your swarm to explore; just a simulator and a slow manual archive to TestFlight.
Two questions: (1) Does the Claude Code CLI you mentioned change this? Could it drive an iOS simulator locally, or is it still pointed at a web target? (2) Is the "explore it like a real user" swarm model portable to native mobile, or is it so coupled to a crawlable web DOM that mobile would need a different architecture entirely? Curious whether the validation-layer thesis is web-shaped by design or just web-first for now.
Congrats on the launch! 🎉 The exploratory-testing-by-parallel-agents framing is the interesting move — QA traditionally treats exploration as the part you can't automate, only deterministic scripted runs. One question: when auto-heal fixes UI drift, how do you prevent a 'false pass' where the heal silently masks a real regression? Curious where the line sits between adaptation and over-tolerance.
TestSprite
I am running tests for a generic company landing page — no backend, no database, and all assets were aggressively dragged into a GitHub repo and Cloudflare :)
https://bgrglobal.co/
The features include:
Photos and company introduction
Multiple articles were written by the company
Contact information
TestSprite v3.0 brought many interesting improvements:
It fully understands the visitor journey
It creates meaningful test planning like a real visitor
It executes simulated visits just by being given the URL
Some features, like localization and email contact CTAs, were things I did not even care much about. But TestSprite carefully dug into the details and caught issues that were not okay.
I believe this software should be introduced to more people who have already learned vibe coding, but have not yet learned vibe testing.
Congrats on the launch!
The parallel exploration fleet really caught my attention because most testing tools still operate sequentially. How do you coordinate multiple agents without them duplicating the same testing paths repeatedly?
@imogen_wallace Thanks! Naive parallel actually makes things worse — N agents all racing to click "Sign Up" first isn't faster, just noisier. Our approach is to make them orthogonal by construction: a discovery pass first breaks the app into distinct features, then we fan out one agent per feature. So they're not competing on the same paths — they're each owning a different slice.
A fleet of parallel agents testing your app simultaneously is a smart approach — most testing tools still run sequentially. Curious how you prevent false positives when agents overlap on the same feature. Do they coordinate or just fire in parallel and compare results?
@lakshita_rana1 Thanks! Two parts: the bug call doesn't rest on "the agent said so" — every verdict is backed by concrete evidence (expected vs. actual state, screenshots, action trace), so a flaky agent run can't promote itself into a phantom bug. On the overlap piece, agents are scoped to different features upfront, so they're orthogonal by construction rather than coordinating at runtime. Less "compare notes," more "don't race the same job."
I am especially interested in the collaboration aspect around generated tests and debugging flows. Can multiple developers review and refine generated suites together inside the platform?