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x1xhlol/system-prompts-and-models-of-ai-tools

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FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models

18 mentions on Hacker News by 15 people: 9 stories, 9 comments · first 2025-03-15 · latest 2026-07-30

Mentions per year 18 mentions · busiest year 2025 (16)
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  1. Ok, you can already get them all! :) Enjoy the read, have fun! https://github.com/x1xhlol/system-prompts-and-models-of-ai-t... https://github.com/asgeirtj/system_prompts_leaks https://github.com/elder-plinius/CL4R1T4S
    comment by reneberlin · 2026-07-30 · in I obtained Claude Opus 5 system prompt
  2. This repo [1] is a brilliant illustration of the copium going into this. Third line of the Claude prompt [2]: IMPORTANT: You must NEVER generate or guess URLs for the user - Who knew solving LLM hallucinations was just that easy?…
    comment by cube00 · 2025-10-15 · in Why the push for Agentic when models can barely follow a simple instruction?
  3. you can - but they dont work reliably in practice. Common issues include search match fails, missing commas in replaced items (model doesnt have surround context while replacing), and a few other error cases. This issues are much worse for…
    comment by bhaktatejas922 · 2025-07-07 · in Launch HN: Morph (YC S23) – Apply AI code edits at 4,500 tokens/sec
  4. Maybe, but also, some of the most popular ai-assisted coding / vibecoding platforms are using system prompts that are 1.5k+ lines long[0] 0: https://github.com/x1xhlol/system-prompts-and-models-of-ai-t...
    comment by nico · 2025-07-04 · in Context Engineering for Agents
  5. except the area is so hugely popular with people who unfortunately lack the rigor or curiosity to ask for this and blindly believe claims. for example this hugely popular repository https://github.com/x1xhlol/system-prompts-and-models-of-ai…
    comment by fleischhauf · 2025-07-01 · in The new skill in AI is not prompting, it's context engineering
  6. > 2.3 Specialized Micro-Agents Over Generalized Rules Initially, our instinct was to continuously add more rules into a single large prompt to handle edge cases This has been my experience as well. However, it seems like the platforms like…
    comment by nico · 2025-06-26 · in Learnings from building AI agents
  7. That’s also been my experience At the same time, I’ve seen the system prompts for a few agents ( https://github.com/x1xhlol/system-prompts-and-models-of-ai-t... ), and they are huge How does that work?
    comment by nico · 2025-06-05 · in Prompt engineering playbook for programmers
  8. https://github.com/x1xhlol/system-prompts-and-models-of-ai-t...
    comment by ChadMoran · 2025-05-07 · in Gemini 2.5 Pro Preview
  9. I believe tricking a system to reveal its system prompt is the new reverse engineering , and I've been wondering what techniques are used to extract this type of information? For instance, major AI-powered IDEs had their system prompts…
    comment by redbell · 2025-05-07 · in Claude's system prompt is over 24k tokens with tools