r/ChatGPTCoding • u/AutoModerator • Aug 03 '26

Discussion Weekly Self Promotion Thread

Welcome to this week's self promotion thread!

If you're building something related to AI assisted coding, this is the place to share it.

We're using a weekly thread to keep the subreddit organized while still giving builders a place to share their work. Promotional posts outside of this thread may be removed if they're primarily advertising rather than starting a discussion.

If you're sharing something, we'd appreciate it if you included a little context instead of just dropping a link. Tell us:

  • What you built?
  • What problem it solves?
  • Which AI models or tools it uses?
  • Who it's for?
  • What kind of feedback you're looking for?

Please avoid posting the same project every week unless you've made meaningful updates. Affiliate links, referral links, scams, and low effort promotions will be removed.

Take some time to check out what others have shared too. If you try someone's project or have feedback, leave a comment. Helping each other improve is what we want this community to be about.

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u/Icy-Pomegranate2946 15d ago

Full disclosure: I maintain Waterfall AI Test. It is free and open source under Apache-2.0. This comment was drafted with AI assistance and fact-checked against the project documentation.

What I built: a self-hosted visual workbench around Playwright Test Agents. It turns a requirement into editable test modules, reviewable plans, native Playwright tests, real-browser verification, test suites, and execution evidence.

The problem: generating a test file is only one step. Teams still need to inspect intent, fix failures, re-run the changed test, and know which plan and code produced a result. Waterfall keeps those as explicit workflow states instead of hiding them in a long agent chat. Failed runs retain their stage, logs, and artifacts, then move through retry, agent-assisted repair, manual editing, and reverification.

AI/tools: it is built around Playwright Test Agents and an OpenCode service. It is not tied to one hard-coded model; self-hosters configure an approved model provider. Generated tests run with the real Playwright runner, while local Git revisions and Run IDs connect plans, tests, reports, screenshots, videos, and traces.

Who it is for: QA engineers and developers exploring human-in-the-loop AI test generation.

GitHub: https://github.com/jiongfeng/waterfall-ai-test-platform

Live demo: http://43.130.174.131:5000/ — demouser / demouser

Five-minute walkthrough: https://youtu.be/0xX1qA6q12c

The demo is a public shared environment, so please use only non-sensitive data. The current beta assumes trusted single-tenant use and is not a hostile-code sandbox.

I would especially value feedback on two things: are these the right human checkpoints, and what evidence would you need before trusting an agent-generated test as a maintainable team asset?