Insights
Founder and builder perspectives on AI tools, thinking patterns, and the new way of working
Showing 61-72 of 126
Best AI Skills for Documentation & Writing in 2026: 12 Compared
Twelve skills for processing, transforming, and humanizing documents. The most installed: Summarize, at 171K signal. The most uncomfortable trend: three of the top 9 are AI-text humanizers.
Best AI Skills for Productivity & Organization in 2026: 15 Compared
Fifteen productivity skills ranked from 454 candidates. The category splits cleanly: meta-cognition (plan/execute) versus office-app integrations (Notion, PowerPoint, Lark). Both win.
Best AI Skills for Security & Privacy in 2026: 12 Compared
Twelve security skills ranked. The most surprising finding: the top of the list isn't about securing your code — it's about securing the skills you install before they touch your code.
Agentic Search vs. RAG: Why Claude Code Doesn't Index Your Codebase (And Why That's the Point)
RAG-based code search hits a wall at scale: the index is stale before it ships. Claude Code's grep-and-read approach trades upfront indexing for live traversal — and that tradeoff scales differently than most teams realize.
Chat, Cowork, Code: The Three-Surface Decoder Every Founder Needs
Anthropic's Founder's Playbook quietly settled an argument I've been having with founders for a year: which Claude surface do you use, when, and why. Here's the decoder, and what each one is structurally good and bad at.
CLAUDE.md Decay: The 3–6 Month Review Cadence Anthropic Just Made Official
Instructions that helped your old model can hurt your new one. Anthropic's Applied AI team just put a number on how often you should audit your CLAUDE.md, hooks, and skills — and gave two concrete examples of rules that aged badly.
CLAUDE.md as Persistent Context: The MVP's Hidden Lever
The MVP stage has a second goal that almost nobody talks about: building in a way that doesn't accrue technical debt you'll struggle to pay off. Anthropic's playbook names the load-bearing tool that prevents that — and most founders skip it.
The Confirmation Bias Powerup: How to Use AI as a Structured Devil's Advocate (and Stop Building the Wrong Thing Faster)
Ask AI for evidence supporting any idea and it'll find it. Anthropic's Founder's Playbook names this 'confirmation bias with a research engine' — and prescribes the exact antidote: structured adversarial thinking at every stage.
The Five MVP Failure Modes Anthropic Just Named (And the Antidote to Each)
Most MVP guidance talks about what to build. Anthropic's Founder's Playbook does something rarer: it names five specific failure modes by name, and prescribes the antidote to each. Worth taping to your wall.
The Dissolved Wall: Why 'Technical Founder' and 'Non-Technical Founder' Don't Mean What They Used To
Anthropic's new Founder's Playbook makes an argument I've been waiting to see in print: the wall between people who can build and people who can sell is gone. The founder identity model that survives 2026 is the one that adapts to that.
The Four Moats of the AI-Native Scale Stage
When AI removes the engineering moat that used to defend startups, what's left? Anthropic's Founder's Playbook names four — accumulated depth, behavioral data, codified domain expertise, and workflow lock-in. Each is a separate compounding move.
The 15-Skill Video Pipeline: How One Engineer Built an End-to-End Editor in a Night
Wang Jianshuo shipped a Chinese-podcast-to-YouTube-Shorts pipeline as 15 single-purpose Claude Code skills. The interesting part isn't the result — it's the design.