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TOSTracker – The AI Training Asymmetry

https://tostracker.app/analysis/ai-training
1•tldrthelaw•3m ago•0 comments

The Devil Inside GitHub

https://blog.melashri.net/micro/github-devil/
1•elashri•3m ago•0 comments

Show HN: Distill – Migrate LLM agents from expensive to cheap models

https://github.com/ricardomoratomateos/distill
1•ricardomorato•3m ago•0 comments

Show HN: Sigma Runtime – Maintaining 100% Fact Integrity over 120 LLM Cycles

https://github.com/sigmastratum/documentation/tree/main/sigma-runtime/SR-053
1•teugent•4m ago•0 comments

Make a local open-source AI chatbot with access to Fedora documentation

https://fedoramagazine.org/how-to-make-a-local-open-source-ai-chatbot-who-has-access-to-fedora-do...
1•jadedtuna•5m ago•0 comments

Introduce the Vouch/Denouncement Contribution Model by Mitchellh

https://github.com/ghostty-org/ghostty/pull/10559
1•samtrack2019•6m ago•0 comments

Software Factories and the Agentic Moment

https://factory.strongdm.ai/
1•mellosouls•6m ago•1 comments

The Neuroscience Behind Nutrition for Developers and Founders

https://comuniq.xyz/post?t=797
1•01-_-•6m ago•0 comments

Bang bang he murdered math {the musical } (2024)

https://taylor.town/bang-bang
1•surprisetalk•6m ago•0 comments

A Night Without the Nerds – Claude Opus 4.6, Field-Tested

https://konfuzio.com/en/a-night-without-the-nerds-claude-opus-4-6-in-the-field-test/
1•konfuzio•8m ago•0 comments

Could ionospheric disturbances influence earthquakes?

https://www.kyoto-u.ac.jp/en/research-news/2026-02-06-0
1•geox•10m ago•0 comments

SpaceX's next astronaut launch for NASA is officially on for Feb. 11 as FAA clea

https://www.space.com/space-exploration/launches-spacecraft/spacexs-next-astronaut-launch-for-nas...
1•bookmtn•11m ago•0 comments

Show HN: One-click AI employee with its own cloud desktop

https://cloudbot-ai.com
1•fainir•13m ago•0 comments

Show HN: Poddley – Search podcasts by who's speaking

https://poddley.com
1•onesandofgrain•14m ago•0 comments

Same Surface, Different Weight

https://www.robpanico.com/articles/display/?entry_short=same-surface-different-weight
1•retrocog•17m ago•0 comments

The Rise of Spec Driven Development

https://www.dbreunig.com/2026/02/06/the-rise-of-spec-driven-development.html
2•Brajeshwar•21m ago•0 comments

The first good Raspberry Pi Laptop

https://www.jeffgeerling.com/blog/2026/the-first-good-raspberry-pi-laptop/
3•Brajeshwar•21m ago•0 comments

Seas to Rise Around the World – But Not in Greenland

https://e360.yale.edu/digest/greenland-sea-levels-fall
2•Brajeshwar•21m ago•0 comments

Will Future Generations Think We're Gross?

https://chillphysicsenjoyer.substack.com/p/will-future-generations-think-were
1•crescit_eundo•24m ago•1 comments

State Department will delete Xitter posts from before Trump returned to office

https://www.npr.org/2026/02/07/nx-s1-5704785/state-department-trump-posts-x
2•righthand•27m ago•1 comments

Show HN: Verifiable server roundtrip demo for a decision interruption system

https://github.com/veeduzyl-hue/decision-assistant-roundtrip-demo
1•veeduzyl•28m ago•0 comments

Impl Rust – Avro IDL Tool in Rust via Antlr

https://www.youtube.com/watch?v=vmKvw73V394
1•todsacerdoti•28m ago•0 comments

Stories from 25 Years of Software Development

https://susam.net/twenty-five-years-of-computing.html
3•vinhnx•29m ago•0 comments

minikeyvalue

https://github.com/commaai/minikeyvalue/tree/prod
3•tosh•34m ago•0 comments

Neomacs: GPU-accelerated Emacs with inline video, WebKit, and terminal via wgpu

https://github.com/eval-exec/neomacs
1•evalexec•39m ago•0 comments

Show HN: Moli P2P – An ephemeral, serverless image gallery (Rust and WebRTC)

https://moli-green.is/
2•ShinyaKoyano•43m ago•1 comments

How I grow my X presence?

https://www.reddit.com/r/GrowthHacking/s/UEc8pAl61b
2•m00dy•44m ago•0 comments

What's the cost of the most expensive Super Bowl ad slot?

https://ballparkguess.com/?id=5b98b1d3-5887-47b9-8a92-43be2ced674b
1•bkls•45m ago•0 comments

What if you just did a startup instead?

https://alexaraki.substack.com/p/what-if-you-just-did-a-startup
5•okaywriting•52m ago•0 comments

Hacking up your own shell completion (2020)

https://www.feltrac.co/environment/2020/01/18/build-your-own-shell-completion.html
2•todsacerdoti•55m ago•0 comments
Open in hackernews

How do you manage quality when AI write code faster than humans can review it?

3•lostsoul8282•4w ago
We are shifting to an agentic workflow. My thesis is "Code at Inference Speed." My CTO's counter-argument is that reviewing code is harder than writing it.

His concern is simple: If AI increases code volume by 10x, human review becomes a fatal bottleneck. He predicts technical debt will explode because humans can’t mentally verify that much logic that quickly. My concern is as competitors,clients, etc are able to release code quickly then we need to be faster on our product - clients expectations are increasing.

How do handle this? I know one option is to slow down releases but is there any other approaches people are taking.

Comments

qubex•4w ago
You stop using AI.
gus_massa•4w ago
I'm using Gemini in Google Search to get one line snippets. Sometimes they are wrong, but close enough to fix them. It's like going to expert-exchange or stack-overflow, sometime better, sometimes less predictable.
qubex•4w ago
I don’t know how you could possibly consider that acceptable insofar as you’re writing software and have a professional, moral, and ethical obligation to make it as robust as humanly possible, not just some exercise in approximation.
gus_massa•4w ago
Anecdote time, take a seat:

A few month ago I wanted to do a short pause in Chez Scheme. I use mostly Racket, that is very similar, but there a a few differences here and there. I wanted to send a bug report about a program that entered an infinite loop. Without the pause the example just printed a lot of "" and the screen got intermediately full. With a short pause it was possible to read the debug message just above the "********..." and hit ^C to take a deeper look.

I went to Google, expecting to go to SO (is EE still online?), but Gemini gave me the answer. There is no builtin easy "pause", so I had to create a time period of 1 seconds and then use another instruction to wait for that period.

Me>

https://www.google.com/search?q=pause+1+second+chez+scheme*

Gemini> (sleep (make-time 'time-duration 0 1))

I think they had arguments in the wrong order, it looks like it's fixed now, perhaps it was wrong only in my mind because I expected the other order. I looked at the online docs https://cisco.github.io/ChezScheme/csug/system.html#./system... . Fixed the example and adjusted the duration. (I initially used 1 second, but it's boring and it looks like the program hanged. .01 is too fast, probably .1 or .2 is the best, I don't remember the exact details.)

---

Back to your question:

I consider that totally professional and moral.

AlexeyBrin•4w ago
Your CTO is right, reviewing code is harder than writing it. Any experienced programmer will confirm that.

If the human is the bottleneck the logical step is to use a different AI to review the code produced by the original AI. You can even use two different AIs to review the code generated by the first one and accept the code if both agree it does not have bugs. I doubt this will guarantee a high quality product, but it is the solution to doing all your code with AI.

The prudent choice would be to push any generated code to production only after it was tested and reviewed by an experienced human programmer.

oracleclyde•4w ago
As an employee and engineer, it is still your job to produce and validate working code. AI makes its easier, faster, but that still doesn't absolve you of the responsibility. At the end of the day, humans are responsible for what ships. If your code breaks the product because AI went nutz and inserted a Guacamole recipe in a library, then that's on us for not catching it.

I work at a security focused company, top in the entire industry, and blaming AI is not allowed. We use AI, even integrated inside our product, but we aren't ignorant. AI can and will write bad and broken code.

techblueberry•4w ago
There was a thread on LinkedIn recently about this, and basically I think the answer is platform engineering. More testing, more guardrails in production, experiments instead of manual reviews of code.

Stop caring what the code looks like, and start caring about what the code does.