Auditable, multi-vendor AI software engineering for any codebase
MBO is a coordination layer for AI-assisted software development. It orchestrates multiple AI models, from different vendors, running locally or in the cloud, to independently plan, review, and execute code changes on any repository. Vendor monoculture is treated as a bug, human oversight as the design, and auditability as a first-class requirement.
Different models plan, write, and review. Correlated blind spots are a structural impossibility.
No autonomous execution. Every decision point has an operator checkpoint before code lands.
Every action, decision, and token spend is logged. When something goes wrong, you can trace it.
Codebase-aware task routing sends the right model to the right job. Config changes don't cost like refactors.
Updates on releases, architecture decisions, and what we're learning building with multi-vendor AI.
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