WELCOME

gm builders. Happy Wednesday. This week in three numbers, a prompt from Sam Altman himself, and a forum thread for telling your agents to stop fooling around.

THIS WEEK, IN NUMBERS

10K+ — Android downloads of Meta’s game vibe-coding app The launch →

361 — upvotes for Cursor’s new GitHub rival, Origin. The launch →

5 — hours per day Plus users can use Codex and ChatGPT Work The story →

Five builds worth knowing

/mission for Claude Code — Give Claude Code missions to spawn a team of agents 40 • Productivity

▲ 282

MemoryCustodian — Repo-native memory for coding agents 28 • Developer Tools

▲ 145

Task Monki — Run coding agents through the full development process 15 • Task Management

▲ 116

Prelint — Prevent product drift in AI-written code 135 • Software Engineering

▲ 603

Denovo — Turn your vibe-coded app into paying customers 72 • Sales

▲ 316

STEAL THIS

Take Sam Altman's code

Kelsey Vlamis of Business Insider had no idea how to vibe code. Everybody around her seemed to be doing it, but it just didn’t stick. Until she saw a prompt OpenAI founder Sam Altman plugged into ChatGPT on his phone:

use all my chat history to figure out ideas for a long weekend trip with 8 friends, plan the best three options, make a full-stack site where the 9 of us can coordinate on what we would want to do in each place and decide where to go, and then after we get to group agreement make reservations. draft an email in my gmail i can send out to my friends when the site is ready..

According to Vlamis, she had a site up in two hours. If you’re struggling to start with your own thing, just use Uncle Sam’s code, kids. 

FROM THE FORUMS

How do you stop AI coding agents from rewriting entire files when you only need 3 lines changed?

@aditya_srivastava30, a growth marketer who recently joined Product Hunt, asked builders for tips and tricks for making sure AI coding agents focus on the things he needs changed instead of starting from scratch with every revision. He writes: “Are there specific extensions, prompt patterns, or scoping tools you rely on to keep the edits surgical?”

Similarly, Siddhant, founder of @Evolvix AI, is noticing that his agents keep tinkering with UI things like spacing and buttons, often making the product worse—even when he’s not asking it to. He’s started adding a “Do not change” section to his implementation requests. He’s gotten solid suggestions on how to give agents explicit constraints. Are there more?

Help or be helped