John Zachary Fitch

Selected Work

Recruiter-relevant projects across agent tooling, systems performance, ML/detection, and privacy-first infrastructure. I keep this list intentionally curated.

Recent Upstream Impact

OpenAI Codex

"Ghost in the Codex Machine" Fix

Root-caused and fixed a pre-main environment regression that stripped LD_* / DYLD_* env vars, triggering CUDA/MKL fallbacks and large slowdowns for some users.

Agent Tooling (LLM-Centric)

llmx

Rust / WASM

What: Local-first codebase indexer with BM25 search and semantic chunk exports (agents can retrieve only what they need).

Why it matters: Retrieval that is fast, deterministic, and privacy-preserving (no embedding service required).

codex-xtreme (includes codex-patcher)

Rust

What: An interactive wizard for producing optimized, patched Codex binaries, backed by a verified patch application engine.

Why it matters: Codifies the "agent edit loop" into explicit, debuggable steps.

Primary repo (pin this on GitHub): codex-xtreme

Patch engine (linked inside): codex-patcher

burn-plugin

Claude Code Plugin

What: Claude Code plugin for the Burn deep learning framework (skills + workflows + evidence-driven references).

Why it matters: Demonstrates how to package domain expertise into an agent workflow that can be reused.

cwork

Private (available on request)

What: A context compiler for Claude Code workflows that composes base capabilities + domain primers + project instructions into a minimal, task-specific context.

Why it matters: Skill systems and context management are where multi-repo agent workflows succeed or fail.

claude-cowork-linux

Linux

What: Run the official Claude Desktop app on Linux using compatibility stubs and a bubblewrap sandbox.

Why it matters: Practical agent workflow enablement (Linux-first, security-aware).

Note: Unofficial community project; no proprietary Claude code is committed.

Iconics

Python

What: Semantic icon library (8k+ icons) designed to replace emojis with consistent PNG icons.

Why it matters: Professional documentation UX at scale (and it's agent-friendly: meaning-based search, deterministic exports).

MCP Servers (Tool Surfaces for Agents)

pyghidra-lite

Python / MCP

What: Token-efficient MCP server exposing a structured tool API for program analysis workflows (compact output by default, opt-in verbosity).

Registry: Official MCP registry: io.github.johnzfitch/pyghidra-lite (v0.1.1, status: active, published 2026-01-29).

Why it matters: In practice, reliable agents are tool-driven. MCP servers are how you turn a complex system into a safe, inspectable interface.

Systems Performance (Real Data Structures, Real Constraints)

Triglyph / Triglyphd

Rust

What: Zero-RSS trigram index with custom binary formats + a D-Bus daemon for system-wide search.

Why it matters: Low-level performance engineering (mmap, layout, predictable latency).

filearchy

Rust (fork)

What: COSMIC Files fork with io_uring backend and trigram search integration.

Why it matters: Applies systems work in a real product surface (UX + async I/O + search).

ML / Detection (Algorithm-First, Production-Aware)

Observatory

WebGPU

What: AI image detection suite running 4 models entirely client-side (WebGPU/WASM).

Why it matters: Real product constraints: model size, caching, orchestration, UX, and "no server required."

Live: look.definitelynot.ai

SpecHO v2

Python

What: 161-dimensional linguistic fingerprinting system for AI text detection and model identification (tiered feature pipeline).

Why it matters: Algorithm-first features, measured discriminators, and clear engineering of runtime tiers.

Security and Privacy (Defensive)

definitelynot.ai

PHP / JS

What: Unicode-security-aware text sanitizer with Trojan Source defense, homoglyph mitigation, and BiDi neutralization.

Why it matters: Practical security tooling with a clear UX and an API for integration.

Infrastructure (Self-Hosted)

digitaldelusion

Private

What: Bare-metal NixOS infrastructure with authoritative DNS, automated wildcard certs (DNS-01 / RFC2136), and post-quantum VPN (WireGuard + Rosenpass).

Why it matters: Demonstrates production ops maturity, reproducibility, and security-first design.

Writing / Research (Available on Request)

AURORA Protocol

Draft spec + thesis-style artifacts

What: Design work on robust agent communication in hostile networks (message framing, discovery, encryption-by-default, federation).

Why it matters: Systems thinking across protocols, security, and agent interoperability.

Selected Private Work (Names Only)

  • eero (private)
  • alienware-monitor (private)
  • proxyforge (private)