Most AI coding assistants are glorified autocomplete on steroids. They suggest code, maybe write a function or two, but leave you holding the bag when it comes to testing, verification, and actually shipping the changes.
M31A (M31 Autonomous) takes a different approach. It's a terminal-based AI coding agent written in Go that owns a six-phase workflow end-to-end: Initialize → Discuss → Plan → Execute → Verify → Ship. Every run ends with a verified git commit and a learning ledger entry. One static binary, zero telemetry, any POSIX shell.
In this post, I'll walk you through the architecture, design decisions, and technical highlights of this open-source project.
The Problem: AI Assistants That Don't Finish the Job
Here's the typical workflow with most AI coding tools:
