Orchestrating fifteen agents across eight repositories.
What happens when you stop treating AI as a tool and start treating it as a team. A detailed look at the orchestration layer that makes multi-agent development work.
I orchestrate intelligence into craft.
While others talk about AI, I build systems where AI agents write code, review it, test it, and ship it -- at scale. On a typical day, my agents merge fifteen pull requests before lunch.
See the agents workThe agents are working right now.
Orchestrated AI agents collaborate across repositories, writing production code, reviewing each other's work, and shipping tested features autonomously.
ActiveIdleError
Agent states update in real time from the orchestration engine.
Current velocity.
--PRs merged (30 days)
--Commits pushed
--Lines changed
--Active repositories
Velocity data unavailable. API may be warming up.
Thinking out loud.
Quality gates that never sleep.
Why automated auditing is not optional when your agents ship forty pull requests a day. The architecture of trust in AI-generated code.
Velocity is not speed.
The difference between shipping fast and shipping well. How a well-orchestrated agent team maintains craft at scale.
Let's build something.
I work with teams that want to ship faster without sacrificing craft. If that sounds like your kind of project, let's have a conversation.
Let's talk about your project