Insights
Founder and builder perspectives on AI tools, thinking patterns, and the new way of working
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LSP: The Highest-ROI Investment Most Teams Skip
Anthropic's enterprise team is direct: for multi-language codebases, Language Server Protocol integration is one of the highest-leverage investments you can make. One enterprise rolled it out org-wide before opening Claude Code access. Here's why.
Build Your Measurement Framework BEFORE Launch — The Discipline That Separates PMF Signal From Noise
The founders who mis-identify early traction as product-market fit are typically the same ones who started tracking data after launch. Anthropic's Founder's Playbook prescribes the inversion — and the two tests that actually distinguish signal from flattery.
Skills As Functions: The Naming Discipline Behind a 15-Skill Video Pipeline
Wang Jianshuo spent five years trying to build AI video editing. Claude Code reproduced his progress in a night. Then he tore the codebase down and rebuilt it as 15 verbs. Here's why.
The 42% Problem: Why AI Made the Number-One Cause of Startup Death Worse, Not Better
42% of startups die because they built something nobody wanted. Anthropic's new Founder's Playbook is direct: agentic coding makes that failure mode MORE likely, not less. Here's why, and what to do about it.
The DRI Problem: Why Most Claude Code Rollouts Plateau
Bottoms-up adoption gets you to 30% engagement. Then it stops. Anthropic's Applied AI team just named the missing piece: a directly responsible individual for the Claude Code configuration. Most orgs don't have one.
The Harness, Not the Model: Why Most Claude Code Teams Are Optimizing the Wrong Variable
Anthropic's Applied AI team published their patterns from enterprise rollouts. The headline finding: the ecosystem around the model — the harness — determines outcomes more than the model itself.
The New Bottleneck: What You Choose to Build
Anthropic's Founder's Playbook closes with one line that summarizes the entire AI-native startup era: 'The bottlenecks are no longer what you can build, but what you choose to build.' That sentence reframes the founder's craft.
ML's Reproducibility Problem Is a Workflow Problem, Not Just a Culture Problem
Most ML papers can't be reproduced by the labs that published them. This skill turns paper reproduction into a structured 4-step workflow — and surfaces exactly where the gap is.
271K Installs Tells You Where Enterprise AI Is Actually Happening
Microsoft's Azure AI Foundry skill is the 3rd most-installed on skills.sh. That number is a dispatch from the real world of enterprise AI adoption.
Auth Has Been 'Solved' Five Times. It Keeps Getting Solved Again.
Better Auth's 43K installs in a short window suggest the current constraints — framework-agnostic, TypeScript-first, self-hostable — weren't covered by existing solutions.
Your CLAUDE.md Is 46% Filler. Caveman Proves It.
The caveman skill compresses prompts into minimal, primitive English — and when the agent performs identically on 46% fewer tokens, you learn what information wasn't actually there.
React Props Proliferate. This Is the Skill That Stops It.
Every new requirement adds a prop to the parent, which propagates to the children, which needs null checks. Vercel's Composition Patterns encodes the specific patterns that stop it — not as a blog post, but as running instructions.