Pipelex Blog — Executable AI methods, MTHDS language for Spec-Driven Development
Insights on repeatable AI workflows and the future of executable methods.
Our Tools Will Send Anonymous Usage Statistics
Starting with their coming releases, the Pipelex runtime and its command-line tools, plxt, the Pipelex extension for VS Code and the mthds CLI will send anonymous usage statistics: counts of commands, runs, pipe types, models and tokens, never your methods, prompts, data or file names. Here is what is sent, why, and every way to turn it off.
From Spec-Driven Development to Compilable Specs
MTHDS methods are already executable specs, interpreted by a runtime today. But a declarative language this high-level could also be compiled, deterministically generating code, tests, and guidance for agents. That would give us a compiler for specs, an engineering layer for Spec-Driven Development.
Why Multi-Step AI Workflows Need a New Language
MTHDS is an open, typed DSL for defining multi-step AI workflows. Methods are executable: install one, run it from your terminal, pipe it into another. Think of it as turning LLM workflows into proper UNIX tools. Pipelex is the reference runtime, and the Pipelex plugin brings it to Claude Code and Codex.
The Know-How Graph
Skills gave agents reusable guidance: portable, natural-language instructions that steer behavior. But they have no types, no validation, no guaranteed output structure. That’s why we built MTHDS: an open standard for typed, validated AI workflows with deterministic orchestration.