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Most LLM cost isn't compute – it's identity drift (110-cycle GPT-4o benchmark)

https://github.com/sigmastratum/documentation/blob/main/sigma-runtime/SR-EI-03/benchmark_report_S...
1•teugent•32s ago•1 comments

Show HN: PlanEat AI, an AI iOS app for weekly meal plans and smart grocery lists

1•franklinm1715•37s ago•0 comments

A Post-Incident Control Test for External AI Representation

https://zenodo.org/records/17921051
1•businessmate•1m ago•1 comments

اdifference gbps overview find answers

1•shahrtjany•2m ago•0 comments

Measuring Impact of Early-2025 AI on Experienced Open-Source Dev Productivity

https://arxiv.org/abs/2507.09089
1•vismit2000•3m ago•0 comments

Show HN: Lazy Demos

http://demoscope.app/lazy
1•admtal•4m ago•0 comments

AI-Driven Facial Recognition Leads to Innocent Man's Arrest (Bodycam Footage) [video]

https://www.youtube.com/watch?v=B9M4F_U1eEw
1•niczem•5m ago•1 comments

Annual Production of 1/72 (22mm) scale plastic soldiers, 1958-2025

https://plasticsoldierreview.com/ShowFeature.aspx?id=27
1•YeGoblynQueenne•6m ago•0 comments

Error-Handling and Locality

https://www.natemeyvis.com/error-handling-and-locality/
1•Theaetetus•7m ago•0 comments

Petition for David Sacks to Self-Deport

https://form.jotform.com/253464131055147
1•resters•7m ago•0 comments

Get found where people search today

https://kleonotus.com/
1•makenotesfast•10m ago•1 comments

Show HN: An early-warning system for SaaS churn (not another dashboard)

https://firstdistro.com
1•Jide_Lambo•10m ago•1 comments

Tell HN: Musk has never *tweeted* a guess for real identity of Satoshi Nakamoto

1•tokenmemory•11m ago•2 comments

A Practical Approach to Verifying Code at Scale

https://alignment.openai.com/scaling-code-verification/
1•gmays•13m ago•0 comments

Show HN: macOS tool to restore window layouts

https://github.com/zembutsu/tsubame
1•zembutsu•15m ago•0 comments

30 Years of <Br> Tags

https://www.artmann.co/articles/30-years-of-br-tags
1•FragrantRiver•22m ago•0 comments

Kyoto

https://github.com/stevepeak/kyoto
2•handfuloflight•23m ago•0 comments

Decision Support System for Wind Farm Maintenance Using Robotic Agents

https://www.mdpi.com/2571-5577/8/6/190
1•PaulHoule•23m ago•0 comments

Show HN: X-AnyLabeling – An open-source multimodal annotation ecosystem for CV

https://github.com/CVHub520/X-AnyLabeling
1•CVHub520•26m ago•0 comments

Penpot Docker Extension

https://www.ajeetraina.com/introducing-the-penpot-docker-extension-one-click-deployment-for-self-...
1•rainasajeet•27m ago•0 comments

Company Thinks It Can Power AI Data Centers with Supersonic Jet Engines

https://www.extremetech.com/science/this-company-thinks-it-can-power-ai-data-centers-with-superso...
1•vanburen•30m ago•0 comments

If AIs can feel pain, what is our responsibility towards them?

https://aeon.co/essays/if-ais-can-feel-pain-what-is-our-responsibility-towards-them
3•rwmj•34m ago•5 comments

Elon Musk's xAI Sues Apple and OpenAI over App Store Drama

https://mashable.com/article/elon-musk-xai-lawsuit-apple-openai
1•paulatreides•37m ago•1 comments

Ask HN: Build it yourself SWE blogs?

1•bawis•37m ago•1 comments

Original Apollo 11 Guidance Computer source code

https://github.com/chrislgarry/Apollo-11
3•Fiveplus•43m ago•0 comments

How Did the CIA Lose Nuclear Device?

https://www.nytimes.com/interactive/2025/12/13/world/asia/cia-nuclear-device-himalayas-nanda-devi...
1•Wonnk13•43m ago•1 comments

Is vibe coding the new gateway to technical debt?

https://www.infoworld.com/article/4098925/is-vibe-coding-the-new-gateway-to-technical-debt.html
2•birdculture•47m ago•1 comments

Why Rust for Embedded Systems? (and Why I'm Teaching Robotics with It)

https://blog.ravven.dev/blog/why-rust-for-embedded-systems/
2•aeyonblack•48m ago•0 comments

EU: Protecting children without the privacy nightmare of Digital IDs

https://democrats.eu/en/protecting-minors-online-without-violating-privacy-is-possible/
3•valkrieco•49m ago•0 comments

Using E2E Tests as Documentation

https://www.vaslabs.io/post/using-e2e-tests-as-documentation
1•lihaoyi•49m ago•0 comments
Open in hackernews

Ask HN: How much better are AI code reviews vs. human code reviews?

6•codeman001•7mo ago
Has anyone here using AI-powered code reviews (e.g. coderabbit, greptile , codeant, korbit etc.) to human reviews in big projects?

I'm curious about:

- How useful feedback is from AI reviewers - Whether it really catches bugs or just nitpicks - How it fits into your workflow (PR comments, suggestions, etc.) - If you've stopped asking teammates for reviews because of it

Is it good enough to trust? Or still just a supplement to human eyes?

Would love to hear your experience.

Comments

edvaldodfreitas•7mo ago
A lot of people have been trying out AI code review tools, but what I see most often is feedback that sounds smart but isn’t actually helpful. Either it flags way too much, or it misses the important stuff. In the end, it just adds more noise to the PR.

Teams that rely purely on LLMs like ChatGPT or Gemini run into this all the time — generic comments, no real understanding of the project, and sometimes subtle mistakes. It’s hard to trust, let alone use it as a real part of your review workflow.

That’s exactly why we built Kodus. It’s an AI-powered code review platform that runs directly on your PRs, combining generative intelligence with deterministic rules based on how your team already works. The result is less noise, more consistent feedback, and more time to focus on what actually matters.

If you want to give it a try and share feedback, we’d love to hear it. We’re improving the platform based on real-world usage https://kodus.io