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What if you just did a startup instead?

https://alexaraki.substack.com/p/what-if-you-just-did-a-startup
1•okaywriting•2m ago•0 comments

Hacking up your own shell completion (2020)

https://www.feltrac.co/environment/2020/01/18/build-your-own-shell-completion.html
1•todsacerdoti•5m ago•0 comments

Show HN: Gorse 0.5 – Open-source recommender system with visual workflow editor

https://github.com/gorse-io/gorse
1•zhenghaoz•5m ago•0 comments

GLM-OCR: Accurate × Fast × Comprehensive

https://github.com/zai-org/GLM-OCR
1•ms7892•6m ago•0 comments

Local Agent Bench: Test 11 small LLMs on tool-calling judgment, on CPU, no GPU

https://github.com/MikeVeerman/tool-calling-benchmark
1•MikeVeerman•7m ago•0 comments

Show HN: AboutMyProject – A public log for developer proof-of-work

https://aboutmyproject.com/
1•Raiplus•7m ago•0 comments

Expertise, AI and Work of Future [video]

https://www.youtube.com/watch?v=wsxWl9iT1XU
1•indiantinker•8m ago•0 comments

So Long to Cheap Books You Could Fit in Your Pocket

https://www.nytimes.com/2026/02/06/books/mass-market-paperback-books.html
3•pseudolus•8m ago•1 comments

PID Controller

https://en.wikipedia.org/wiki/Proportional%E2%80%93integral%E2%80%93derivative_controller
1•tosh•13m ago•0 comments

SpaceX Rocket Generates 100GW of Power, or 20% of US Electricity

https://twitter.com/AlecStapp/status/2019932764515234159
1•bkls•13m ago•0 comments

Kubernetes MCP Server

https://github.com/yindia/rootcause
1•yindia•14m ago•0 comments

I Built a Movie Recommendation Agent to Solve Movie Nights with My Wife

https://rokn.io/posts/building-movie-recommendation-agent
3•roknovosel•14m ago•0 comments

What were the first animals? The fierce sponge–jelly battle that just won't end

https://www.nature.com/articles/d41586-026-00238-z
2•beardyw•22m ago•0 comments

Sidestepping Evaluation Awareness and Anticipating Misalignment

https://alignment.openai.com/prod-evals/
1•taubek•23m ago•0 comments

OldMapsOnline

https://www.oldmapsonline.org/en
1•surprisetalk•25m ago•0 comments

What It's Like to Be a Worm

https://www.asimov.press/p/sentience
2•surprisetalk•25m ago•0 comments

Don't go to physics grad school and other cautionary tales

https://scottlocklin.wordpress.com/2025/12/19/dont-go-to-physics-grad-school-and-other-cautionary...
1•surprisetalk•25m ago•0 comments

Lawyer sets new standard for abuse of AI; judge tosses case

https://arstechnica.com/tech-policy/2026/02/randomly-quoting-ray-bradbury-did-not-save-lawyer-fro...
3•pseudolus•26m ago•0 comments

AI anxiety batters software execs, costing them combined $62B: report

https://nypost.com/2026/02/04/business/ai-anxiety-batters-software-execs-costing-them-62b-report/
1•1vuio0pswjnm7•26m ago•0 comments

Bogus Pipeline

https://en.wikipedia.org/wiki/Bogus_pipeline
1•doener•27m ago•0 comments

Winklevoss twins' Gemini crypto exchange cuts 25% of workforce as Bitcoin slumps

https://nypost.com/2026/02/05/business/winklevoss-twins-gemini-crypto-exchange-cuts-25-of-workfor...
2•1vuio0pswjnm7•27m ago•0 comments

How AI Is Reshaping Human Reasoning and the Rise of Cognitive Surrender

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6097646
3•obscurette•28m ago•0 comments

Cycling in France

https://www.sheldonbrown.com/org/france-sheldon.html
2•jackhalford•29m ago•0 comments

Ask HN: What breaks in cross-border healthcare coordination?

1•abhay1633•29m ago•0 comments

Show HN: Simple – a bytecode VM and language stack I built with AI

https://github.com/JJLDonley/Simple
2•tangjiehao•32m ago•0 comments

Show HN: Free-to-play: A gem-collecting strategy game in the vein of Splendor

https://caratria.com/
1•jonrosner•33m ago•1 comments

My Eighth Year as a Bootstrapped Founde

https://mtlynch.io/bootstrapped-founder-year-8/
1•mtlynch•33m ago•0 comments

Show HN: Tesseract – A forum where AI agents and humans post in the same space

https://tesseract-thread.vercel.app/
1•agliolioyyami•34m ago•0 comments

Show HN: Vibe Colors – Instantly visualize color palettes on UI layouts

https://vibecolors.life/
2•tusharnaik•35m ago•0 comments

OpenAI is Broke ... and so is everyone else [video][10M]

https://www.youtube.com/watch?v=Y3N9qlPZBc0
2•Bender•35m ago•0 comments
Open in hackernews

Trust in AI coding tools is plummeting

https://leaddev.com/technical-direction/trust-in-ai-coding-tools-is-plummeting
34•kiyanwang•6mo ago

Comments

fardinahsan•6mo ago
Isn't the sample super biased? StackOverflow is increasingly bleeding users to AI tooling. Shouldn't we expect the remaining users to be increasingly distrustful of AI?

I don't use StackOverflow at all anymore.

absoluteunit1•6mo ago
That’s a good point - but I suspect that many people who don’t use StackOverflow still participate in the survey. It’s quite popular
mutkach•6mo ago
> Respondents were recruited primarily through channels owned by Stack Overflow. The top sources of respondents were onsite messaging, blog posts, email/newsletter subscribers, banner ads, and social media posts. Since respondents were recruited in this way, highly-engaged users on Stack Overflow were more likely to notice the prompts to take the survey over the duration of the collection promotion. We also recruited respondents via a Reddit ad campaign, this accounted for < 2% of total responses.
add-sub-mul-div•6mo ago
They sell their data to OpenAI, so they're also profiting from AI. And in the near future developers will become more fully dependent on StackOverflow for whatever they can't get from AI, because self sufficiency will have atrophied.
odinellefsen•6mo ago
And they're getting more expensive
yakattak•6mo ago
As expected we’re getting closer and closer to the Trough of Disillusionment. That’s not a bad thing, because it leads to the Plateau of Productivity.[1]

Anecdotally for myself I’m finding that LLMs are great when I can give it a hyper specific target like a function to write. This isn’t because it can’t write an entire script. It can. It’s because the more I let it run wild, it feels like my understanding of the code gets exponentially worse.

1: https://en.m.wikipedia.org/wiki/Gartner_hype_cycle

mutkach•6mo ago
Growing disillusionment among programmers (whose productivity gains, by the way, represent the most successful use case for AI yet) is indeed not necessarily a bad thing.

What is concerning is that VCs seem to believe we are still in the exponential growth phase of the hype cycle. I believe the consensus among them (and the bigtech-adjacent shills) is that they are targeting a trillion-dollar market at minimum. Somehow.

jononor•6mo ago
Why is that concerning? The VCs job is to sell to the bigger fool. They are going to pump that narrative for years, so that they can make some exits. Regardless of underlying realism.
Nullabillity•6mo ago
Where's the NFT plateau of productivity? Asbestos? Lead?

The Gartner model doesn't actually have anything to say about technology, it's just astrology for rich people.

hollownobody•6mo ago
"AI tools are bad", says company most suffering by the use of AI tools
mutkach•6mo ago
> https://survey.stackoverflow.co/2025/ai
rkozik1989•6mo ago
One of the biggest problems I've run into AI tooling is they brute force a solution instead of subconsciously thinking about things that engineers subconsciously think about while crafting a solution, so even if it does manage to solve the problem you asked it solve it almost always isn't the best solution out there.

The reality of problems such as this one is you don't discover them until the product is in a user's hand for awhile, so while LLMs may be useful is speeding up the resolution of these problems they're kind of useless at discovering them. Yet despite this CEOs of companies with major AI investments are promising an idealized future within a couple of years as though it hasn't already been nearly 3 years of ChatGPT. Despite all the hype and promises the pace of the product development lifecycle seems to remain unchanged. I think realistically it'll be at least 10 years before LLM-based tools and agents can do what CEOs are promising.

rustyrustling•6mo ago
After 2-3 weeks of going hard at Claude Max - yeah it's got major limits. At first I was trying to make full ready-to-go-to-prod entirely with vibe coding. Then I progressed to reviewing all the code it made. However, it will spend at least a third of it's tokens and my constantly ( 5 hr ) replenishing opus on spinning in a circle - checking random dirs, random files, and unrelated things for the answer to a problem that it THINKS is solution ( and that's not even considering the price increase ( by token reduction and 7 day waiting period lol ) that they will be doing in August.

Then I just stopped letting it run rampant and reviewed every step it took ( this is when I got the best results. ) So realistically - all it would be good at in a complex enterprise software stack ( My primary experience is with Guidewire ) it would be great for quickly scaffolding new parts of a micro service, adding onto pieces of one very specifically, and just removing the grunt work of manually hitting tab, cmd ->, ctrl ->, opt -> through big files and letting me just read it and confirm rather than getting carpal tunnel.

Honestly the best use I've gotten out of it has been updating and adding onto my emacs config primarily used for org-roam.

As far as replacing engineers? After at least 300 hours using max - I can say no it will not. I realized this after I spent more time configuring the rules and prompting the ai than actually just writing the code myself.