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I love making software ❀️
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I love making software ❀️

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SufficientDaikon/README.md

Ahmed Taha

I build AI that builds software β€” agent systems that plan, write, and ship production code. To know what agents should build, I build the hard parts myself: C# in PowerShell's core engine, a language and borrow checker in Rust, local-first AI tools.

Upstream

Core-engine work on PowerShell, Microsoft's cross-platform shell (50k+ stars):

Building

  • Archon β€” a skills engine for AI agents: one skill library with complexity routing from trivial to expert, deployable to Claude Code, GitHub Copilot, and other agent platforms without rewriting a skill.
  • Axon β€” an ML-first systems language in Rust. Tensor shapes verified at compile time, memory safety from ownership instead of a garbage collector. Lexer, parser, and borrow checker written from scratch.
  • Aether β€” multi-agent orchestration across 28 subsystems: a three-tier Master/Manager/Worker hierarchy with context-aware routing and durable workflows, built on Bun and TypeScript.
  • dissector-agent β€” reverse-engineers any codebase into 17+ interlinked documents through 13 analysis phases, covering architecture, conventions, APIs, testing, and security.

Smaller, sharper things β€” pr-to-course, which turns any pull request into an interactive course; daedalus-debugger, which interrogates its own runtime and writes up the report β€” live in the full repo list.


tahaa755@gmail.com Β· LinkedIn

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  1. archon archon Public

    The Virtuoso Engine for AI Agents. 83 skills, 10 agents, 5 cognitive synapses, enforced guardrails. Write once, deploy on 5 AI platforms. MIT licensed.

    Python 8

  2. Axon Axon Public

    ML/AI-first systems programming language β€” compile-time tensor shapes, ownership-based safety, native GPU execution

    Rust 2