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I lead security R&D and research AI alongside it.
"Exploits are written by AI agents. Defenses should be too."
The AI question I keep returning to is a plain one: how do people get genuinely useful work out of these systems? Writing code got fast. Knowing whether the code does what you asked did not, and that is where I started.
So: write down what the software is supposed to do in a form a machine can read, then have a machine check the code against it and fail the build when intent and reality diverge.
Ironclad defines the levels. cladding implements every stage and detector the spec defines, adds its own on top, and gates its own development with them. LogcatOn is the first product built with it.
A graded standard for falsifiable consistency among spec, code, and tests. Four levels, from static checks to human-in-the-loop audit—each one attemptable only once the level below it has passed.
Draft · MIT
An integrity layer for AI-coded software. Before an agent writes, cladding supplies the project's intent. After it works, cladding checks the result against the spec—drift, tests, architecture, evidence.
Open source · TypeScript · works with Claude Code, Codex, Gemini, Antigravity, and Cursor
The log is where you find out what an app actually did—and as more of the code is written by agents, that matters more. LogcatOn makes it legible: bind to a package and it follows the PID, re-binding on its own when the app restarts. Crashes, ANRs, and native faults land on the minimap and timeline the moment they happen, one click from the line that caused them, and sessions stay smooth into the hundreds of thousands of lines.
Desktop app · macOS, Windows, Linux · free · Releases
- Security R&D — VAPT, reverse engineering, Android runtime analysis, RASP, and code protection.
- AI — Multi-agent orchestration, agent architecture, context engineering, workflow design, and specification-driven verification.
- harness-boot — A role-focused multi-agent development harness built around living specifications.
- Cosmic Suika — Off-duty: a 3D space-themed merge game with orbital physics.
For research exchange and open-source collaboration: qwerfunch@gmail.com