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The AI Talent War Is for Plumbers and Electricians

https://www.wired.com/story/why-there-arent-enough-electricians-and-plumbers-to-build-ai-data-cen...
1•geox•2m ago•0 comments

Show HN: MimiClaw, OpenClaw(Clawdbot)on $5 Chips

https://github.com/memovai/mimiclaw
1•ssslvky1•2m ago•0 comments

I Maintain My Blog in the Age of Agents

https://www.jerpint.io/blog/2026-02-07-how-i-maintain-my-blog-in-the-age-of-agents/
1•jerpint•3m ago•0 comments

The Fall of the Nerds

https://www.noahpinion.blog/p/the-fall-of-the-nerds
1•otoolep•5m ago•0 comments

I'm 15 and built a free tool for reading Greek/Latin texts. Would love feedback

https://the-lexicon-project.netlify.app/
1•breadwithjam•7m ago•1 comments

How close is AI to taking my job?

https://epoch.ai/gradient-updates/how-close-is-ai-to-taking-my-job
1•cjbarber•8m ago•0 comments

You are the reason I am not reviewing this PR

https://github.com/NixOS/nixpkgs/pull/479442
2•midzer•9m ago•1 comments

Show HN: FamilyMemories.video – Turn static old photos into 5s AI videos

https://familymemories.video
1•tareq_•11m ago•0 comments

How Meta Made Linux a Planet-Scale Load Balancer

https://softwarefrontier.substack.com/p/how-meta-turned-the-linux-kernel
1•CortexFlow•11m ago•0 comments

A Turing Test for AI Coding

https://t-cadet.github.io/programming-wisdom/#2026-02-06-a-turing-test-for-ai-coding
2•phi-system•11m ago•0 comments

How to Identify and Eliminate Unused AWS Resources

https://medium.com/@vkelk/how-to-identify-and-eliminate-unused-aws-resources-b0e2040b4de8
2•vkelk•12m ago•0 comments

A2CDVI – HDMI output from from the Apple IIc's digital video output connector

https://github.com/MrTechGadget/A2C_DVI_SMD
2•mmoogle•13m ago•0 comments

CLI for Common Playwright Actions

https://github.com/microsoft/playwright-cli
3•saikatsg•14m ago•0 comments

Would you use an e-commerce platform that shares transaction fees with users?

https://moondala.one/
1•HamoodBahzar•15m ago•1 comments

Show HN: SafeClaw – a way to manage multiple Claude Code instances in containers

https://github.com/ykdojo/safeclaw
2•ykdojo•19m ago•0 comments

The Future of the Global Open-Source AI Ecosystem: From DeepSeek to AI+

https://huggingface.co/blog/huggingface/one-year-since-the-deepseek-moment-blog-3
3•gmays•19m ago•0 comments

The Evolution of the Interface

https://www.asktog.com/columns/038MacUITrends.html
2•dhruv3006•21m ago•1 comments

Azure: Virtual network routing appliance overview

https://learn.microsoft.com/en-us/azure/virtual-network/virtual-network-routing-appliance-overview
2•mariuz•21m ago•0 comments

Seedance2 – multi-shot AI video generation

https://www.genstory.app/story-template/seedance2-ai-story-generator
2•RyanMu•24m ago•1 comments

Πfs – The Data-Free Filesystem

https://github.com/philipl/pifs
2•ravenical•28m ago•0 comments

Go-busybox: A sandboxable port of busybox for AI agents

https://github.com/rcarmo/go-busybox
3•rcarmo•29m ago•0 comments

Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery [pdf]

https://research.nvidia.com/labs/nemotron/files/NVFP4-QAD-Report.pdf
2•gmays•29m ago•0 comments

xAI Merger Poses Bigger Threat to OpenAI, Anthropic

https://www.bloomberg.com/news/newsletters/2026-02-03/musk-s-xai-merger-poses-bigger-threat-to-op...
2•andsoitis•29m ago•0 comments

Atlas Airborne (Boston Dynamics and RAI Institute) [video]

https://www.youtube.com/watch?v=UNorxwlZlFk
2•lysace•30m ago•0 comments

Zen Tools

http://postmake.io/zen-list
2•Malfunction92•33m ago•0 comments

Is the Detachment in the Room? – Agents, Cruelty, and Empathy

https://hailey.at/posts/3mear2n7v3k2r
2•carnevalem•33m ago•1 comments

The purpose of Continuous Integration is to fail

https://blog.nix-ci.com/post/2026-02-05_the-purpose-of-ci-is-to-fail
1•zdw•35m ago•0 comments

Apfelstrudel: Live coding music environment with AI agent chat

https://github.com/rcarmo/apfelstrudel
2•rcarmo•36m ago•0 comments

What Is Stoicism?

https://stoacentral.com/guides/what-is-stoicism
3•0xmattf•37m ago•0 comments

What happens when a neighborhood is built around a farm

https://grist.org/cities/what-happens-when-a-neighborhood-is-built-around-a-farm/
1•Brajeshwar•37m ago•0 comments
Open in hackernews

Building on vibes: Lessons from three years with LLMs

https://world.hey.com/joaoqalves/building-on-vibes-lessons-from-three-years-with-llms-564f2801
1•joaoqalves•4mo ago

Comments

joaoqalves•4mo ago
I’ve spent the past three years "vibe coding" with LLMs, building side projects I wouldn’t have had time to ship otherwise. Along the way, I’ve learned how to structure context for ChatGPT, utilize PRDs to minimize rework, and address areas of weakness, such as testing.

It doesn’t feel like "magic" anymore, but it does feel like a real productivity boost. Wrote up the reflections + shipped projects in this blog post.

Happy to hear your thoughts and comments.

raxxorraxor•4mo ago
Similar experience. It is a productivity boost. I still don't like the verbosity of most models.

I find writing prompts quite annoying and sometimes importing/exporting the context I am working with is more work than just implementing it myself or by prompting for partial problems.

I don't like to become dependent on third party models though, so I prefer local solutions. For company work I use Claude and Chatty since I got licenses here.

But my home brew solution is getting there too.

aiamblichus•4mo ago
Why is this article only about small side projects? Is the crew of 70 in the OP’s day job not using GenAI for coding, and if so why not?
joaoqalves•4mo ago
Hi! Thanks for the comment. Indeed, some, if not most, are using LLMs in their daily activities. They have access to GitHub copilot, and there were pilots with other tools like Claude Code, recently.

Generally speaking, these folks are empowered to make their lives better and more productive through LLMs. There are a few things to consider, though:

1. It’s not the same a brand new codebase vs a big, existing one. Context management helps, but you also need to invest a lot on it. Especially legacy projects. Bear in mind that producing code is part of the job of a Software Engineer but not the biggest chunk, especially in legacy apps. Observability, setting up good cloud infrastructure, etc is still there. I think there’s also room to improve it with LLMs but we must also acknowledge we’re in the early days, although it does not seem so.

2. When you work for a bigCo, there are tempos. Approvals, budget, licenses… All of this makes the adoption of these tools a bit slower than wanted.

3. Finally, there’s a cultural change. A lot of great SWE, even on HN, despise the idea of having someone writing code for them. “It’s bad code”, etc. We need, as an industry, to make sure we get the most out of the available tools, and be proficient with them. So, this is a more cultural/people’s problems. And these are harder than vibe coding.