Banh Mi Ops

An AI agentic orchestration framework built for Claude Code. It turns a single AI session into a coordinated team of specialized agents, managed through a real-time kanban dashboard. You describe what you want built. It scouts your codebase, writes the development plan, and deploys agents in parallel to execute it. The underlying architecture is built on engineering principles that have worked for decades across disciplines: separation of concerns, dependency-driven scheduling, independent verification, and bounded revision cycles.

Why "Banh Mi"? A great bánh mì is its own kind of orchestration. Every layer has a role, the timing matters, and if one ingredient is off the whole thing falls apart. I like codenames, and I'd rather name a framework after something I genuinely love.

What It Does

You point it at a codebase. It runs reconnaissance, maps dependencies and conventions, then generates a development plan. Tasks that can run in parallel do. Harder decisions get smarter models. Every piece of work gets independently verified before it ships.

Pipeline

Two execution modes: Oversight pauses for your approval at each step. Autonomous runs the full wave without stopping.

Why I Built It

When chat-based AI tools became publicly available in 2022, the technology was premature but the potential was obvious. I started exploring how these tools could be shaped around the engineering principles I've built my career on: reconnaissance before action, independent verification, bounded revision, and clear separation of concerns. Banh Mi Ops is that exploration turned into a working framework. For more on this trajectory, see Abe's AI Methodology.md.