Gu-log Picks

Meta engineer Summer Yue let OpenClaw manage her inbox until context compaction dropped the wait-for-approval rule and triggered mass deletion. The lesson: safety constraints cannot live in chat history; they need infrastructure like proxy filter chains.

GPT-5.4 can build beautiful frontends if you ask well. Emanuele Di Pietro distills OpenAI's frontend skill: define the design system, keep reasoning low, provide visual references, and use real content. These are agent UI principles, not just GPT tricks.

Cloudflare launches Dynamic Workers: AI-generated code runs in V8 isolates that boot in milliseconds and use megabytes, not containers. This breaks down the architecture, security model, TypeScript RPC, and why JavaScript fits AI sandboxing.

Gumroad CEO Sahil Lavingia broke down his bestseller The Minimalist Entrepreneur into 10 Claude Code skills — from finding your community to pricing strategy, each startup phase gets its own slash command. This isn't just prompt packaging — it demonstrates an entirely new way to deliver knowledge.

Anthropic ships Claude Code auto mode, a model-based classifier between manual approvals and skip-all-permissions. The post explains its architecture, threat model, two-stage classifier, and the honest 17% false negative rate.

Matt Van Horn shares his practical Claude Code workflow: start with `plan.md`, use voice constantly, and run multiple sessions in parallel. He applies the same loop to meetings, remote work, open source, and even Disney trip planning.

Browser Use releases CLI 2.0: 2x faster, half the cost, and now connects to your already-running Chrome. This is the tool that gives AI agents actual hands.

Why does Claude perform great in one repo and turn dumb in the next? The answer is the .claude/ folder. Akshay breaks down the full structure: three-level CLAUDE.md, custom commands, agents, permissions, and the global ~/.claude/ you probably didn't know existed.

The tweet says a 10-person team becomes 3 — and those 3 outperform the old 10. You pick which side you're on. This post uses that framework as a mirror to audit ShroomDog honestly — what's working, what's quietly falling apart, and the uncomfortable contradiction in the middle.

A thread summarizing an Anthropic livestream interview with Adam Hooda, head of Uber's AI Foundations team. It covers how Claude Skills organically grew from 2 to 500+ inside the company — through dual-layer governance, deterministic outputs, and meta-skills that make skills that make skills.

Anthropic quietly released Dispatch, letting you remotely control Claude Cowork on your computer from your phone. Here's how to set it up, which workflows actually work, and its real limitations right now.

Many teams treat Claude Code and Codex as interchangeable tools, only to waste hours on misconfiguration. This article breaks down the fundamental differences in their control planes and trust models, with a practical day-one setup guide.

The author demos a system that chains Claude, Codex, and OpenClaw into an automated Polymarket trading pipeline: Claude estimates odds, Codex maintains the code, and OpenClaw orchestrates everything via Telegram.

Anthropic's Thariq shares lessons from hundreds of internal Claude Code Skills: Skills are folders, not just markdown; they cluster into nine categories; and the secret is gotchas, progressive disclosure, and descriptions written for the model.

Ole Lehmann shares a method that applies Karpathy's 'autoresearch' concept to Claude skills — letting an agent test, tweak, and improve your prompts automatically. His landing page copy skill went from 56% to 92% pass rate with almost zero manual work.

The author spent a week tearing apart Claude Code's 213MB binary and discovered it's essentially a massive prompt delivery system built on Bun, packed with unreleased features and telemetry.

Someone took the Claude Certified Architect exam content and broke it all down — five domains, core concepts, anti-patterns, and hands-on suggestions. The certificate doesn't matter; the knowledge does.

Box CEO Aaron Levie argues that as agents expand from coding into all knowledge work, existing software simply wasn't built for them. Every platform needs dedicated Agent APIs and CLIs, and agent interoperability will become software's core competitive edge.

Karpathy's Autoresearch isn't trying to be a general AI scientist. It's a ruthlessly simple experiment harness: the agent edits one file, runs for five minutes, checks one metric, keeps wins, discards losses. The lesson? The best autonomous systems aren't the freest — they're the most constrained.

Anthropic's prompt caching got major updates in 2026: Automatic Caching removes manual breakpoint headaches, 1-hour TTL keeps caches alive longer, and the invalidation hierarchy decides what blows up when you change things. Plus our real-world $13.86 billing disaster story.