pomarie

5 ms·

1.
We fixed a critical auth bypass in Cloudflare's AI-generated Next.js(cubic.dev)
6 points by pomarie 7mo ago|0 comments
2.
by pomarie 7mo ago
Super cool!
3.
by pomarie 8mo ago
Founder of cubic here, thanks for the shoutout!
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by pomarie 8mo ago
Thanks Denis!
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Show HN: cubic 2.0 – improving our AI code reviewer (3x more accurate,2x faster)(cubic.dev)
4 points by pomarie 8mo ago|3 comments
6.
Anduril's autonomous weapons stumble in tests and combat(techcrunch.com)
3 points by pomarie 10mo ago|0 comments
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OpenAI prepares GPT-5.1-Codex-MAX for large-scale projects(testingcatalog.com)
4 points by pomarie 10mo ago|0 comments
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Musk, Bezos and Pichai Want AI Data Centers in Space(wsj.com)
3 points by pomarie 10mo ago|0 comments
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America Is All-In on Deep Learning; China Emphasises Robotics and Hardware(hyperdimensional.co)
4 points by pomarie 10mo ago|2 comments
10.
Experts question Anthropic's claims of cyberattacks using its tools(arstechnica.com)
3 points by pomarie 10mo ago|1 comments
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by pomarie 10mo ago
Good q! So it depends. Some teams are using Claude or similar models in GitHub Actions, which automatically review PRs. The rules are basically natural language encoded in a YAML file that's committed in the codebase. Pretty lightweigh
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by pomarie 10mo ago
We're building something at cubic that helps with this. You write your constraints in plain English, and AI enforces them semantically on every PR. If you're curious, you can check it out here: https://cubic.dev Happy
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Why AI code fails differently: What I learned talking to 200 engineering teams
8 points by pomarie 10mo ago|5 comments
14.
by pomarie 11mo ago
One thing that actually works is getting AI to review the basic stuff first so you can focus on architecture and design decisions. The irony of using AI to review AI-generated code isn't lost on me, but it does help. That said, even wi
15.
by pomarie 11mo ago
That's a really fair point. Architecture-first is definitely the ideal, and teams that can invest that time upfront tend to avoid a lot of downstream pain.
16.
The real problem with AI coding(cubic.dev)
4 points by pomarie 11mo ago|2 comments
17.
Learnings from building AI agents(cubic.dev)
172 points by pomarie 1y ago|63 comments
18.
by pomarie 1y ago
Circle of life!
19.
Ask HN: What will humans do when AI writes and reviews code?
2 points by pomarie 1y ago|4 comments
20.
Ask HN: When AI writes and reviews code, what do humans do?
1 points by pomarie 1y ago|2 comments
21.
by pomarie 1y ago
Pretty cool – when does it make sense to use this vs n8n?
22.
by pomarie 1y ago
Great idea! How does your tab model compare to other ones from Cursor/Windsurf..?
23.
by pomarie 1y ago
That's so weird – I can't repro at all! I'll keep digging.. If anyone else reading this is also experiencing this, please shout!
24.
by pomarie 1y ago
Definitely! Giving the AI the ability to fetch the context it needs was a big challenge (since larger codebases can't all fit in an LLM's context window) – it's not perfect yet, but the tools it has does give it a remarkable
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by pomarie 1y ago
Super useful, thanks for the feedback! We're definitely thinking of building something that would run the reviews in your IDE directly, before you push the code.
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by pomarie 1y ago
Thanks for the encouragement!
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by pomarie 1y ago
It's possible! What was the tweet?
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by pomarie 1y ago
Thanks for sharing that Alex! Definitely love having an AI be the strict reviewer so that the human doesn't have to
29.
by pomarie 1y ago
Yeah, that's a totally legit point! The good news with mrge is that it works just like any other AI code reviewer out there (CodeRabbit, Copilot for PRs, etc.). All AI-generated review comments sync directly back to GitHub, and interac
30.
by pomarie 1y ago
Quick update – we've merged a fix which should be live in ~15 mins! Thanks for reporting this :)

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