Watch an AI Swarm Build Working Software (Open Source)

Too Long; Didn't Watch — Summary

An autonomous swarm of 10 AI agents builds a functional, custom version control CLI tool from a single Markdown specification in 40 minutes with zero human intervention.

Main Takeaways

• High Autonomy Swarms: Using the Overstory coordinator, a developer can move entirely 'out of the loop' after providing a well-defined specification file.
• Specialized Agent Roles: The swarm utilizes 'Lead' agents for task decomposition and 'Builder' agents for implementation, ensuring structured development.
• Self-Correction and Monitoring: The system includes a 'Watchdog' and 'Coordinator' that nudge stalled agents and enforce architectural constraints (e.g., preventing leads from writing code directly).
• Integrated Quality Control: Builder agents automatically run linting, type checking, and unit tests before their work is merged into the main branch.
• Persistent Knowledge Systems: The 'Mulch' system allows agents to record and share 'learnings' across the swarm, ensuring consistency and context for future tasks.

Detailed Summary

Introduction and Problem Statement (0:00 - 01:58)

• The goal is to rebuild a tool called 'Beads' into a lighter version named 'Seeds' to remove unnecessary bloat like large binaries and background databases.
• The project uses 'Overstory', an open-source swarm coordinator, to manage the development process.
• A comprehensive Markdown spec file is the only input required to start the autonomous build.

Project Initialization (01:58 - 04:15)

• The process begins with a simple prompt to set up the GitHub repository and initialize the environment.
• Ironically, the 'Beads' system is used to build its replacement, 'Seeds', because the current infrastructure relies on it for issue tracking.
• The developer installs Overstory hooks to prepare the repository for the agent swarm.

Orchestrating the Swarm (04:15 - 08:04)

• The 'Overstory Coordinator' is started with a 'watchdog' flag to monitor agent progress.
• A dashboard provides real-time visibility into the state of every agent in the swarm.
• The coordinator breaks the spec file into discrete issues and delegates them to 'Lead' agents, who further decompose tasks for 'Builder' agents.

Monitoring and Observability (08:04 - 10:08)

• Each agent operates in its own isolated work tree to prevent conflicts; these trees are automatically cleaned up upon task completion.
• The 'Overstory Inspect' and 'Feed' commands allow the developer to follow live logs and tool usage across the entire swarm.
• The 'Mulch' expertise system is introduced as a way for agents to store common knowledge and architectural decisions.

Development and Self-Correction (10:08 - 13:35)

• The coordinator enforces strict rules, such as blocking 'Lead' agents from writing code directly to force delegation to 'Builders'.
• Agents self-correct in real-time when they receive 'nudges' from the coordinator regarding stalled processes or incorrect file handling.
• As builder agents finish features, the coordinator automatically reviews and merges the code into the main branch.

Testing and Final Polish (13:35 - 16:08)

• After the initial build, the coordinator identifies failing tests and automatically dispatches a 'Fixup' lead and builder to resolve them.
• The swarm runs for a total of 40 minutes, spawning 10 distinct agent sessions.
• The final stage involves the coordinator recording 'orchestration domain' learnings into Mulch before shutting down.

Conclusion and Validation (16:08 - 18:28)

• The developer demonstrates the working 'Seeds' CLI, successfully running initialization and migrating issues from the old system.
• The project proves that well-engineered specs allow for 'hands-off' software development.
• Viewers are invited to join the 'Promptra' community and explore agentic engineering resources.

Notable Quotes

"I have moved entirely out of the loop in this process now... the agents are going to be spawning other agents to help them with their work." — Jaymin West

"Overstory blocked leads from making direct changes to the code on purpose because we want to force delegation between agents." — Jaymin West

"I sent one prompt with a well-designed spec and that entire spec file was just built out." — Jaymin West