This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
TestForge AI
AI-powered Playwright tests with self-healing locators
QA teams spend half their week on plumbing — boilerplate, brittle locators, flaky triage. TestForge AI removes it. Paste a requirement → TestForge drafts Gherkin, derives the POM via Microsoft Playwright MCP, scaffolds Playwright TypeScript, runs in disposable containers. Claude classifies failures (real bug vs flake) and explains in plain English. Backed by 6 peer-reviewed papers (IEEE, Wiley, Elsevier, Springer). MIT-licensed npm suite at ~5,400 weekly downloads.
Hey Product Hunt 👋
I'm Vijay — independent researcher and the sole developer behind TestForge AI.
The 30-second pitch: QA teams spend half their week on plumbing. Writing boilerplate, fixing brittle locators, triaging flaky failures. TestForge AI removes the plumbing.
You paste in a requirement document. TestForge drafts a complete suite of Gherkin scenarios for review. Approved scenarios become real, executable Playwright tests automatically — TestForge derives the page-object model from your live application by scraping the actual DOM via Microsoft Playwright MCP, picks the right selectors, and scaffolds test files across Chromium and Firefox. You don't write the Playwright code, you don't write the page objects, you don't write the assertions.
Every regression run spins up a clean disposable browser container, captures pixel-by-pixel screenshots, and produces a structured report. When something fails, an AI analyst built on Anthropic's Claude classifies the failure (real bug vs flake), explains it in plain English (Category / Expected / Actual / Likely cause / Suggested fix), and drafts the Jira ticket if escalation is warranted.
Self-healing locators recover from common UI changes — renamed buttons, shifted CSS classes, restructured sections — using role, label, accessible name, and adjacent-element text. Over months, the system learns your codebase's failure patterns.
Behind the platform is real research: six journal manuscripts under peer review at IEEE Access, IEEE Software, Wiley STVR, Elsevier JSS, and Springer EMSE. Three sole-authored MIT-licensed npm packages (@vijaypjavvadi/bdd2pw, sel2pw, pw-emit) with combined ~5,400 weekly downloads. Datasets permanently archived on Zenodo.
Honest disclosure: TestForge AI is in Beta. We're early. If you try it and hit something rough, please reply here — I read every comment and ship fixes fast.
Try it: https://testforge-ai.com
GitHub: https://github.com/javvadivijayp...
Research: https://vijayjavvadiresearch.ai
G2 listing: https://www.g2.com/products/test...
Ask me anything 🙏
No comment highlights available yet. Please check back later!
About TestForge AI on Product Hunt
“AI-powered Playwright tests with self-healing locators”
TestForge AI was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #153 on the daily leaderboard. QA teams spend half their week on plumbing — boilerplate, brittle locators, flaky triage. TestForge AI removes it. Paste a requirement → TestForge drafts Gherkin, derives the POM via Microsoft Playwright MCP, scaffolds Playwright TypeScript, runs in disposable containers. Claude classifies failures (real bug vs flake) and explains in plain English. Backed by 6 peer-reviewed papers (IEEE, Wiley, Elsevier, Springer). MIT-licensed npm suite at ~5,400 weekly downloads.
TestForge AI was featured in Productivity (653.8k followers), SaaS (42.5k followers), Artificial Intelligence (471k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 308.1k products, making this a competitive space to launch in.
Who hunted TestForge AI?
TestForge AI was hunted by Vijay Prasad Javvadi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how TestForge AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Vijay Prasad Javvadi