State machines to visualize the work of agents
This post argues that state machines are key to making LLM-driven agent work more deterministic and visualizable.
I believe this is the only way to make sure we can make LLM work more deterministic
https://www.youtube.com/embed/uMvTAF280so
If this is not enough for you to see the massive value state machines bring to any codebase, I don't know what will...
---
See also:
- State machines are great, but hard to establish — team adoption challenges and mixed logic patterns
- Modeling resizable panels using State Machines — concrete UI state machine example
- Notes about how the document machine should work — Seed's document lifecycle as a state machine
- UI with State Machines — external hub with practical guides, patterns, and case studies on state-machine-driven UI development
- Agents and State Machines — detailed state machine model for Pi-sdk-based agents (Lamport-style + Kay-style)
- Our distributed objects are state machines — Lamport on the foundational idea of state machines in distributed systems
- Why aren't we using state machines more in our complex application? — practical scenarios where state machines reduce complexity
- State Machines — Knowledge Map — hub page collecting all state-machine-related documents across the repository
- How to Background Agents — practical use of Cursor background agents; the state machine pattern makes their behavior observable and predictable
- Vibe code like a PRO — proposes a Linear-to-PR pipeline where background agents resolve issues autonomously; state machines make that agent behavior deterministic and observable