CrewDeck: AI Orchestration

Overview

Generating code stopped being the hard part. Coordinating the work is what breaks down — and it breaks down fast once more than one AI session is running against the same repository.

This overview lays out the case for treating AI orchestration as the real engineering problem: the code sprawl that appears when agents write faster than any human can review, the way prompt costs climb as a codebase grows, and why running the full software development lifecycle locally, in isolated git worktrees, keeps both cost and risk under control.

The framing throughout is the one CrewDeck is built on — orchestration beats raw model power.

Key Topics

• The AI code sprawl problem — when agents produce more code than a human has the cognitive capacity to verify, catch, and fix
• The rising cost curve — why each prompt gets more expensive as your repository grows, and every task re-triggers the same research
• Onboarding and offboarding, every single task — working with AI engineers means hiring, briefing, and releasing an engineer thousands of times over
• Local-first orchestration — running the SDLC through git worktrees on your own machine, coordinating AI sessions without remote servers
• The SDLC pipeline — mock-up, tasking, execution, PR lifecycle, and self-checking validation runs
• Guardrails and verification — building checks around what AI produces so you are not the only reviewer in the loop
• Extending your reach across platforms — moving from a single specialized stack to web, desktop, and mobile with an Engineering Workforce behind you

About This Video

This is a NotebookLM video overview, generated from the founder's own recorded notes on AI orchestration. The ideas, the experience, and the numbers behind it are first-hand — the narration and illustrations are AI-generated. You can read the original notes in full in Episode 002 of the CrewDeck podcast.

We think that is a fitting way to ship it: the argument is that orchestrating AI well is the skill that matters, so the overview was orchestrated rather than hand-produced.