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Launched this week
Checksum is an AI-native continuous testing platform for engineering teams shipping faster than manual QA can keep up. It generates, runs, and auto-heals end-to-end and API tests on every pull request, all as standard Playwright code in your own repo. When a test fails, Checksum tells you whether it found a real bug or a stale test, then fixes the false failures so your suite keeps pace with your coding agents.
Lancepilot
Checksum AI
@odeth_negapatan1 Good question! We've seen teams measure a few different things depending on their priorities. First, cost per outcome: automated triage runs at roughly $10 per failing test resolved vs. around $78 for fully manual handling. Next is time reclaimed: Söderberg & Partners get back about 90 hours of manual testing a month once their suite was fully automated. And finally speed: Postilize saw engineering cycles get 30% faster alongside a 70% drop in bugs, since less time goes to figuring out whether a red test is a real problem or noise.
I'd say that most teams end up tracking a mix of "hours not spent on maintenance" and "time-to-ship," since the ROI shows up in both places at once, not just one.
Checksum AI
@odeth_negapatan1 And thank you for the congrats and questions!
Bababot
I like the idea of keeping everything as normal Playwright tests. makes adopation much easier for an existing engineering team.
Checksum AI
@adams_parker Exactly! Your test is yours whether you stay with Checksum or not.
Wion - Audio Dating
This is one of those problems that becomes more important as AI-assisted development becomes the norm. More generated code means more surface area to validate. Excited to see how Checksum AI evolves!
Checksum AI
@tanjum Thanks, Tanjum! That's a clean way of putting it, more generated code really does mean more surface area to validate. Congrats on Wion, going to check it out.
Shape
This is a really interesting take on keeping AI-generated code testable. Auto-healing stale tests sounds especially useful as coding agents get faster.
Watch Something
@natcale Exactly!
The interesting part of AI coding isn't just generating more code—it's being confident that the code actually works. Anything that closes that verification gap has huge potential for modern engineering teams.
Watch Something
@1mirul Appreciate the comments!
CheckYa
AI-generated code is making development faster, but it also makes verification more important than ever. Tools that help developers catch problems before they reach production feel like a natural next step.
Watch Something
@monir_ 📣📣📣
As a marketer, I'm just here to say that I love your tagline ☺️ it makes a pretty intimidating category feel approachable. Congrats on the launch!
Checksum AI
@ryanwrites Thank you, that means a lot coming from another marketer! We wanted to convey that this is a solvable problem, and you've got real backup, not another intimidating tool to manage on your own. Really glad it's landing that way. 🙌
@michelle_dailey You nailed it. Well done!!