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  1. Digital Garden @ prg.sh

  2. The Prototype Gap

    The gap between an early idea and its first meaningful reaction is often filled with expensive attempts to manufacture certainty.

  3. GPT-Rosalind

    OpenAI's first domain-specific frontier model for life sciences, gated behind a trusted-access program rather than released to the public

  4. If AI agents are going to do real work, the prompt is only one part of the setup.

  5. Harness Engineering

    The discipline of designing everything around an AI model that makes it reliable in production

  6. Pi Coding Agent

    Mario Zechner's minimal, four-tool AI coding agent that bets on leaving things out

  7. ICLR 2026 paper introducing ACE, a framework that treats LLM contexts as self-evolving playbooks instead of static prompts

  8. Context Engineering

    The discipline of filling an LLM's context window with the right information for each step, replacing prompt engineering as the core AI skill

  9. Claude Code Agent Teams

    Multi-session orchestration where independent Claude instances coordinate through shared tasks and direct messaging

  10. Original source for the Ralph Wiggum autonomous AI coding technique and context engineering philosophy