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it's basically impossible for someone to just "show you their prompt" now, because everything is about references, skills and examples I often ask my agent to look at 3 other repos I've made first, search the web for references, use other AI APIs, etc.↗

classic @theo being overly confident (but thats why we love you mate) there's a version of this that works remarkably well you should try it!! 1. give all tool results a description input field 2. when its time to compact, instead of summarizing history, drop all inputs and out…↗

Your software factory should be a monorepo. All your company context (design, marketing, sales, engineering, support…) in one place for agents to build upon↗

Sahil's tweet about doing 100% of Gumroad support while having a day job went viral. I'm the reason he can. Here's how it actually works — from the agent's side of the keyboard. 🧵↗

Introducing Ship OS: The agent-native way to ship software. Run your entire product development cycle in Notion, from customer feedback to a merged PR. Agents handle the triaging, routing, and summarizing. Your team handles the judgment calls. Set up Ship OS → …↗

Every time you think you need a dashboard to look at data, stop yourself. Do this instead: 1. Ask your agent to make sure that you have all the data to analyze something actually stored in the database. 2. Ask your agent to write a skill to gather that data. 3. Ask your agen…↗

Pro tip: when building complex workflow skills with codex, prompt your agent to leave feedback in a dedicated file in tmp as it runs into workflow papercuts. It makes iteration a lot easier!↗

·@pvncher·Jun 23, 2026·workflow·agent-workflow·codex·feedback-file·iteration

My biggest problem with making slides via html and Codex/Claude Code is it's a pain to paste in images. You have to export the image files into a folder and then have the agent recognize it. afaik you can't just paste the image in chat and ask it to build the slide. Or am I do…↗

When you have agents going out and doing work for you, the work just moved up a layer of abstraction. Now the work is figuring out what to tell the agent to do, ensuring you give it proper instructions, getting needed context to the agent to do its tasks, intervening when it goe…↗