VIvinhnx·Mar 16, 2026Submission
2 points · Open discussionRootbeerComputer
backend-GPT
JavaScript2023–2026
RootbeerComputer / backend-GPT
backend-GPT
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This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 1:49:46 PM UTC.
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Observed mentions: 2023-01-24 13:44:01 UTC to 2026-03-16 15:28:51 UTC.
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| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 5 | 1 | 4 |
| 2024 | 2024-01-01 00:00:00 UTC | 2025-01-01 00:00:00 UTC | 1 | 1 | 0 |
| 2025 | 2025-01-01 00:00:00 UTC | 2026-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2026 (partial) | 2026-01-01 00:00:00 UTC | 2027-01-01 00:00:00 UTC | 1 | 1 | 0 |
What Hacker News says
7 sourcesShow HN: Autospec – open-source agent that generates E2E tests for your web app
Hi HN,
I'm excited to share some early tinkering on a project, autospec, an open-source QA agent for web applications.
Right now it's not fully packaged for use, but I wanted to get the idea out early and am looking for design feedback, suggestions, and open source collaborators to join in. I wrote it over memorial weekend :)
autospec uses vision and text language models to explore and generate commonsense e2e tests for web applications.
The goal is human-like evaluation: assessing the entire UI as a user would, making decisions based on the actual state of the application at each step, with zero initial configuration, and the ability to immediately adapt to new features.
Why I Built It:
I've experienced the difficulty in building the right amount of automated tests and at the right layer of abstraction to both provide good coverage, avoi
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d flakiness, and avoid constant rewrites when implementation changes.
This is the first AI-driven application I've built. I was inspired by a couple of things:
* SWE-agent's [1] focus on agentic performance
* backend-GPT's README rant [2]: "The proper format for business logic is human intelligence."
* zerostep [3], autogpt [4], and other browser-controlled AI projects
Potential Next Steps:
* Save passing specs as playwright code and only fallback on spec failure to the AI agent, to see if the test can be self-healed according to the original spec.
* Create a curated benchmark of both common open source web apps that should pass, and versions with introduced bugs
* NPM package to run like `npx autospec --url https://example.com`
* Github action and Vercel checks API integration to run on preview deployments
* Handling app auth securely+easily
* Continue exploring the balance between vision UI interpretation and DOM analysis
[1]: https://github.com/princeton-nlp/SWE-agent
[2]: https://github.com/RootbeerComputer/backend-GPT
[3]: https://github.com/zerostep-ai/zerostep
[4]: https://github.com/Significant-Gravitas/AutoGPT
Thanks!
Zach
Why bother writing each backend separately? https://github.com/TheAppleTucker/backend-GPT
In Wtfdoesthiscompanydo.vercel.appI saw https://github.com/TheAppleTucker/backend-GPT and decided to give this a go myself. Pretty fun stuff.
In AITodo: Todo app powered by a GPT backend<half-joking> https://github.com/TheAppleTucker/backend-GPT </half-joking>
In Ask HN: What would be your stack if you are building an MVP today?There seems to be an API key/secret in the source code: https://github.com/TheAppleTucker/backend-GPT/blob/main/back...
In GPT is all you need for the back endGPT is all you need for the back end
252 points · Open discussion