you can't. legacy makes no sense for coding or agentic work. far too risky re prompt injection too.
PROMPT ENGINEERING
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China’s Anti-Distillation Skill Counters AI Employee Replacement
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This is hilarious.
— Andreas Klinger 🦾 (@andreasklinger) 4 avril 2026
In China the "colleague skill" went viral.
It basically learns to distill and emulate an employee so you can fire them.
This is an anti-distillation skill that acts as counter intelligence to make distillation harder. You add it to claude to add noise.
💀💀 https://t.co/BDn9BqYi8NThis is hilarious. In China the "colleague skill" went viral. It basically learns to distill and emulate an employee so you can fire them. This is an anti-distillation skill that acts as counter intelligence to make distillation harder. You add it to claude to add noise. 💀💀 李老师不是你老师 (@whyyoutouzhele) 近日,github上一个名叫“同事.skill”的项目火了。 4月3日,一博主表示,她开发了“反蒸馏skill”的项目。 她表示,大家都是出来做牛马的,没人希望自己被做成skill,然后丢掉工作,所以自己发明了“反蒸馏skill”。希望大家在这个AI浪潮里都能活得久一点吧。 — https://nitter.net/whyyoutouzhele/status/2040195137465462998#m
→ View original post on X — @andreasklinger, 2026-04-04 21:10 UTC
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Grok Imagine Quality Mode Impresses With Stylized AI Image Generation
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Be sure to update your Grok app, the new Imagine 'Quality' mode is absolutely insane. It really responds exceptionally well to specific camera terminology and feels far more stylized. I love it! Amazing work from xAI once more :). Prompt: a gorgeous Kodachrome film still of
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Claude -p harness call allowed by Anthropic
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this calls claude -p, which is their 1P harness and allowed.
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From Code Repos to Idea Files: AI Agents Replace Traditional Sharing
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This is the way. Don't share apps, share ideas with AI Agents. Karpathy just introduced a new primitive: "the idea file". Instead of sharing a repo with code to clone, you share a markdown doc with the idea. What to build, not how to build it. Your agent reads it and figures out the rest. I pointed my OpenClaw agent Monica to it. Within one session, they read the idea file, compared it against our existing setup (6 agents already coordinating through markdown files on a Mac Mini), identified what we're already doing and what's missing, and started building the parts we don't have. Turns out we already had the ingestion layer without knowing it. Our intel agent scans sources twice a day and writes structured signals to a daily file. The raw data gets saved, but nobody ever looks at it again. What we were missing: compilation. 60 days of daily signals sitting in files, but no agent turning them into structured knowledge. My agents only see today's intel. They can't say "this is the third local OCR tool this quarter" because that context isn't compiled anywhere. Monica caught that gap on her own from the idea file. You don't need someone else's code. You need their thinking. Your agents handle the rest, and they'll customize it to what you actually need. We are moving from cloning repos to sharing ideas with Agents. Shubham Saboo (@Saboo_Shubham_) x.com/i/article/202179384677… — https://nitter.net/Saboo_Shubham_/status/2022014147450614038#m
→ View original post on X — @saboo_shubham_, 2026-04-04 17:57 UTC
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Managing Long-Running Tasks with Codex Planning
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so typically for long running task you’d want codex to have a to-do md or plan md and have it update it as it continues chugging along and then ask it to respond with a phrase of your choice “__CODEX_DONE__” for example and then you can add an if-else to your hook to exit when
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PR Should Be Prompt Request: Quality Over ChatGPT Expansion
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Peter Steinberger told me that he wants PR to be "prompt request". His agents are perfectly capable of implementing most ideas, so there is no need to take your idea, expand it into a vibe coded mess using free tier ChatGPT and send that as a PR, which is now most PRs.
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LLM NPC Implementation with Custom Prompts for Each Agent
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it’s not actually a custom GPTs in the ChatGPT sense but a LLM call w unique prompts for each NPC
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Create Your Own Custom AI Agents Today
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love to see it and you can create your own custom agents too 🙂