Insights
Founder and builder perspectives on AI tools, thinking patterns, and the new way of working
Showing 73-84 of 126
The Launch Stage Is When the Founder Becomes the Bottleneck
At the MVP stage, the founder being in every loop is an asset. At Launch, the same instinct becomes the constraint that stalls the company. Anthropic's playbook names the transition and prescribes the audit.
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.