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Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
The skills I think we might gain (AI)
Gareth Brown · 2026-06-25 · via Hacker News - Newest: "AI"

The general consensus, and common sense seem to dictate that the more we lean on LLMs for coding, the weaker our ability to code by hand will become. I feel like it's something all experienced engineers will be able to get back if they decide they want to put the effort in, but the AI genie doesn't look like it's going back in the bottle any time soon, and so the motivation to put that effort in is always going to be competing with the motivation for doing something else important.

That said, like many others, my output has gone up significantly - I would suggest 6x based on the number of projects I'm shipping compared to pre AI periods (and I don't think the quality has gone down like many suggest is inevitable), but I am tired. Agentic software engineering seems to come with fatigue, as numerous other blog posts I have read recount.

So my brain must be doing something ... right?

Decision Making, At Pace

It's like I've become and architect and engineering manager, with super keen, super fast employees. Those employees do need significant guidance, and help with 'taste' as it has been termed (I don't care for all of the talk about 'loops' yet. I've been wrong before, and I'll never say never, but that just doesn't look like a good way to build quality software to me).

And I am making decisions, and weighing options, at pace, all the time. I'm using Matt Pocock's Grill With Docs Skill extensively, and it is thorough, to say the least. The result is solid well designed software that does what you designed and everything you hadn't thought of, but the sheer number of choices that you need to make is exhausting.

But neuroplasticity is thing, and I expect that while my code grinding skills weaken (hopefully 18 years experience means something will stick around for a while), my decision making, intuition, forward planing, problem description and design skills will improve.

This is something that's going to be hard to measure. For now I'm watching for two things. Software quality, and the success of projects against their stated aims.