The Droid You’re Looking For

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Knowledge base

“Inside the AI Workflows of Every’s Six Engineers” by Rhea Purohit/Source Code: Six engineers. Four AI products. A daily newsletter read by 100,000 people. How do we do it? Rhea Purohit went inside the workflow of each engineer at Every to find out—from Yash Poojary running Claude Code and Codex side-by-side on two separate machines to see which “personality” ships faster, to Nityesh Agarwal doing everything on a single MacBook Air with his finger hovering over the Escape key like a nervous parent. Read this if you want to see how engineers structure their days and what tools survived the hype cycle.

“How to Use Claude Code Like the People Who Built It” by Rhea Purohit/AI & I: Cat Wu and Boris Cherny, the founding engineers of Anthropic’s Claude Code, reveal how they use their own product—from making subagents fight each other to catch bugs, to setting up stop hooks that won’t let Claude quit until tests pass, to turning past code into reusable leverage. Listen to this interview with Dan Shipper if you want insider tactics for getting more out of Claude Code, straight from the people who watch hundreds of engineers use it every day. 🎧 🖥 Listen on Spotify or Apple Podcasts, or watch on X or YouTube.

“Vibe Check: Cursor 2.0 and Composer 1 Alpha” by Rhea Purohit/Vibe Check: Cursor dropped a refreshed code editor and its own blazingly fast LLM, and the Every team spent a few days stress-testing both. Alpha is genuinely fast and fun, though it falls short of Sonnet 4.5 on precision and UI generation. Read this for an honest assessment of whether Cursor’s comeback is strong enough to pull developers away from the terminal.

“Vibe Check: I Canceled Two AI Max Plans for Factory’s Coding Agent Droid” by Danny Aziz/Source Code: Danny Aziz was debugging a failing database migration in the back of a moving car when he switched from Claude Code to Droid and watched it solve the problem in one shot. Somehow Droid makes each model work better than it does in its native wrapper. Read this if you’re tired of losing context every time you need a different model’s strengths, or if you want to see what convinced a senior engineer to cancel his Claude and ChatGPT Max plans.

“How Tools Shape How We See the World” by Dan Shipper/Chain of Thought: Dan Shipper spent years searching for the perfect note-taking system—until he realized he was trying to become a machine. But language models revealed something he couldn’t see before: Our tools don’t just help us work, they determine what parts of reality become visible to us. Read this—the fifth and final piece in a series exploring AI’s new worldview—if you want to understand why the complexity of our tools literally changes the complexity of our reality.