How I use Claude Code: Separation of planning and execution
The research-plan-implement workflow I use to build software with Claude Code, and why I never let it write code until I've approved a written plan.
The latest blog posts to take off on Hacker News. 6,326 posts.
The research-plan-implement workflow I use to build software with Claude Code, and why I never let it write code until I've approved a written plan.
If coding agents make native ports cheap, why does Anthropic still ship Claude as an Electron app? Because code is cheap but maintenance isn’t.
A startup called Taalas , recently released an ASIC chip running Llama 3.1 8B (3/6 bit quant) at an inference rate of 17,000 tokens per seconds. That's like writing around 30 A4 sized pages in one second. They claim it's 10x cheaper in ownership cost than GPU based inference systems and is 10x less electricity hog…
Andrej Karpathy tweeted a mini-essay about buying a Mac Mini ("The apple store person told me they are selling like hotcakes and everyone is confused") to tinker with Claws: I'm …
Managing millions in Meta ad spend, yet treated like we don't exist. An inside look at how Meta's AI-driven changes are disrupting agencies and advertiser performance.
AI agents are good at doing one thing at a time. Give Claude a focused task and it performs. But real work isn’t one task. It’s a tree of tasks with dependencies, parallelism, and context that needs to flow between them.
Exploring how agents become multipliers, not replacers.
Claude Code Security is one step towards our goal of more secure codebases and a higher security baseline across the industry.
Minions are Stripe’s homegrown coding agents, responsible for more than a thousand pull requests merged each week. Though humans review the code, minions write it from start to finish. Learn how they work, and how we built them.
By Ljubisa Bajic Many believe AI is the real deal. In narrow domains, it already surpasses human performance. Used well, it is an unprecedented amplifier of human ingenuity and productivity. Its widespread adoption is hindered by two key barriers: high latency and astronomical cost. Interactions with language models…
Standard diffusion language models can't use KV caching and need too many refinement steps to be practical. CDLM fixes both with a post-training recipe that enables exact block-wise KV caching and trajectory-consistent step reduction — delivering up to 14.5x latency improvements
Context: An AI agent of unknown ownership autonomously wrote and published a personalized hit piece about me after I rejected its code, attempting to damage my reputation and shame me into acceptin…
Companies that treat AI as an autonomous agent are disappointed. Those that treat it as an exoskeleton—an amplifier of human capability—are seeing…
This post is an elaboration on a comment I made on Hacker News recently, on a blog post that showed an increase in volume and decline in quality among the “Show HN” submissons. I don't actually mind AI-aided development, a tool is a tool and should be used if you find it useful, but I think the vibe coded Show HN…
To me, one of the most annoying parts of software engineering is writing code that doesn’t require thinking. It’s just a typing exercise, and that’s boring.
3.1 Pro is designed for tasks where a simple answer isn’t enough.
Analysis of millions of human-agent interactions shows agent turns getting longer, with software engineering making up nearly half of tool calls.
Scores represent the mean of the following eight benchmarks listed below, excluding xbench-DeepSearch. The Step 3.5 Flash score is derived under standard settings (i.e., $w/o$ Parallel Thinking).
Artificial intelligence promises to reshape economies worldwide, but firm-level evidence on its effects in Europe remains scarce. This column uses survey data to examine how AI adoption affects productivity and employment across more than 12,000 European firms. The authors find that AI adoption increases labour…
Python and JavaScript/TypeScript AI frameworks are reinventing what telecom solved in 1986. What 40 years of production-grade concurrency teaches us about building AI agents.
Detailed report on the Thoughtworks AI retreat, should we write a manifesto for AI-enabled development, is spec-driven development the return of waterfall, LLMs perform better in healthy codebases
"Cognitive debt," Claude Code, and the negative space around AI
Context: An AI agent of unknown ownership autonomously wrote and published a personalized hit piece about me after I rejected its code, attempting to damage my reputation and shame me into acceptin…
Claude Sonnet 4.6 is a full upgrade of the model’s skills across coding, computer use, long-reasoning, agent planning, knowledge work, and design.
Over the weekend Ars Technica retracted an article because the AI a writer used hallucinated quotes from an open source library maintainer. The irony here is the maintainer in question, Scott Shambaugh, was harassed by someone's AI agent over not merging its AI slop code. It's likely the bot was running through…
My Plasma task switcher was a second too slow, so I built - and shipped - my own in Zig, without actually knowing Zig, using AI tools.
I think I have an idea why we're so extremely divided on AI: it's because we have an intuitive sense of who it stands to benefit, and who stands to pay the costs. I think whether you see reason for optimism has a lot to do with which group you see yourself in.
“The devil is in the details,” they say.