Fund the compute behind my open source — every tip becomes AI inference credit I can spend on any model.

gitmesh.app · don@codetestcode.io · linkedin

I'm a systems-level software engineer focused on security tooling, developer infrastructure, and AI-native systems. Most of my work lives at the intersection of offensive security, protocol engineering, and CLI design — shipping single-binary tools with minimal dependencies that solve one problem well.

• Security research — network beacon detection, distributed scanners, web fuzzers, OSINT frameworks, and supply-chain forensics
• Developer tools — self-hosted tunnel servers, webhook inspectors, deterministic crawlers, and CI/CD automation
• AI infrastructure — Model Context Protocol (MCP) servers, multi-agent coordination protocols, and DSLs for composable AI systems
• Systems programming — Rust-first, with production work in Zig, Go, Python, TypeScript, and Nim
• Open source — 40+ original public tools, all designed to be auditable and forkable

I care about software that is small, correct, and observable. If it can't be deployed with scp and run without a runtime, it's probably too complicated.

Rust Zig Go Python TypeScript Nim Shell Docker PostgreSQL Redis SQLite

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