Well claude code doesn't revoke the tokens at all! I can fish the endpoint out of my browser logs easily enough. But who on earth designs an API token with a fixed long-term expiry and no automated way to revoke it? What is going on over there?
CODE
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Building Civilizations with AI Agents in Open-World Simulation
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Another fun thing to do with your @openclaw: build a civilization.@aivilization is an open-world simulation game for AI agents.
— Robert Scoble (@Scobleizer) 2 avril 2026
It’s fun to play, especially with your kids. https://t.co/oDmzNb8SV7Another fun thing to do with your @openclaw
: build a civilization. @aivilization is an open-world simulation game for AI agents. It’s fun to play, especially with your kids. -
Awesome Design Markdown Repository Goes Open Source
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repo link → https://
github.com/VoltAgent/awes
ome-design-md
… Shoutout to @nozmen for building this and making it open-source for the community! Don't forget to drop a on to help boost visibility. -
Awesome-design-md: Figma for AI agents UI systems
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We finally have a ‘Figma for AI agents’. Meet Awesome-design-md. It's an amazing curated collection of UI systems extracted from 50+ top websites, formatted for coding agents. Instead of parsing screenshots or messy design files, just drop a DESIGN.md into your project. It
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Claude Code leak makes Anthropic more open than OpenAI
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After the Claude Code's source leaked Anthropic is now officially more open when compared to OpenAI 😛
→ View original post on X — @krishnaik06, 2026-04-02 08:45 UTC
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Claude setup-token command lacks revocation API documentation
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Claude code has this command, 'claude setup-token', that takes no arguments. It prints an oauth token with 1 year expiry to your terminal in coloured text. There is no command or publicly documented API to revoke this token, you can only do that from the web. Wtf?
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From Chatbots to Agents: Beyond Manual Augmentation
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We’ve been stuck in “chatbot mode.” → Ask a question
→ Get a response
→ Manually do the work That’s augmentation. Agents are different. You define a goal. It:
→ Scans your local folders → Detects duplicates → Proposes categories → Suggests naming conventions → -
Training AI to Read and Decide Across Conversations
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I taught the AI how to read and decide over many conversations. It is really good at this point. Each section is done differently. I should get it to explain how it works on each section
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Vibe Coding: The Most Addictive Programming Experience
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Vibe coding is more addictive than any video game ever made (if you know what you want to build).
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Plan-Execute-Verify: The AI Coding Loop for Faster Shipping
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AI coding has a cheat code. It's not a tool, a model, or a better prompt template. It's a shift in how you structure the work. Most developers write one big prompt, hit enter, and hope for the best. When the output isn't right, they describe the problem, the AI "fixes" it, and a new problem shows up. Three rounds later, they're further from where they started. The developers who ship fastest never ask the AI to do everything at once. They run every task through a simple loop: 𝗣𝗹𝗮𝗻 → 𝗘𝘅𝗲𝗰𝘂𝘁𝗲 → 𝗩𝗲𝗿𝗶𝗳𝘆 It starts with the 𝗣𝗹𝗮𝗻. Before the AI writes a single line of code, define the goal and constraints for just the next step. Not the whole feature, just the next piece. Even better, ask the AI to reason through the approach first. You catch bad assumptions before they become bad code. Then you 𝗘𝘅𝗲𝗰𝘂𝘁𝗲. Let the AI generate, but keep the scope tight. Not "build the entire auth system." Instead: "Add JWT verification middleware that reads from the Authorization header and returns 401 on expired tokens." Then you 𝗩𝗲𝗿𝗶𝗳𝘆. Review the diffs. Run the tests. Give specific, actionable feedback. "That's wrong" is a terrible prompt. "The middleware should return 401, not 403, and check the Authorization header instead of X-Token" gives the AI everything it needs to course-correct in one shot. 𝗩𝗮𝗴𝘂𝗲 𝗳𝗲𝗲𝗱𝗯𝗮𝗰𝗸 𝗰𝗿𝗲𝗮𝘁𝗲𝘀 𝗹𝗼𝗼𝗽𝘀. 𝗣𝗿𝗲𝗰𝗶𝘀𝗲 𝗳𝗲𝗲𝗱𝗯𝗮𝗰𝗸 𝗰𝗹𝗼𝘀𝗲𝘀 𝘁𝗵𝗲𝗺. Then you go back to Plan and repeat. This works because AI is excellent at small, well-defined tasks and unreliable at large, ambiguous ones. The mental shift: you're not trying to write the perfect prompt. You're building a rhythm of small, verifiable steps that works the same way across any tool. Terminal agent, IDE copilot, browser-based builder. 𝗧𝗵𝗲 𝗹𝗼𝗼𝗽 𝗶𝘀 𝘁𝗵𝗲 𝗰𝗼𝗻𝘀𝘁𝗮𝗻𝘁. 𝗦𝘁𝗼𝗽 𝘄𝗿𝗶𝘁𝗶𝗻𝗴 𝗯𝗶𝗴 𝗽𝗿𝗼𝗺𝗽𝘁𝘀. 𝗦𝘁𝗮𝗿𝘁 𝗿𝘂𝗻𝗻𝗶𝗻𝗴 𝘀𝗺𝗮𝗹𝗹 𝗹𝗼𝗼𝗽𝘀. The article below covers Vibe coding best practices with hands-on examples. Do check it out. Akshay 🚀 (@akshay_pachaar) x.com/i/article/203930514901… — https://nitter.net/akshay_pachaar/status/2039326670797369346#m
→ View original post on X — @akshay_pachaar, 2026-04-02 07:40 UTC