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Tech Glossary

Finite State Machine (FSM)

A Finite State Machine (FSM) is a computational model used to represent and control the behavior of systems. It consists of a finite number of states, transitions between these states, and actions associated with those transitions. FSMs are widely used in various fields, such as computer science, robotics, game development, and digital circuit design, to model and implement complex systems with predictable behaviors.

Components of FSM:

1. States: Defined conditions or situations of the system (e.g., "Idle", "Processing", "Completed").

2. Transitions: Pathways between states triggered by events or conditions.

3. Inputs/Events: External factors that cause state changes (e.g., button press, time-out, or data reception).

4. Actions/Outputs: Tasks executed during state transitions or while in a specific state.

FSMs can be classified into two types:

Deterministic FSM: Each state has only one possible transition for a given input.

- Non-Deterministic FSM: A state can have multiple possible transitions for the same input.

Applications:

- FSMs are employed in diverse scenarios such as user interface designs, control systems, parsing algorithms, and even artificial intelligence for decision-making in games. For instance, a traffic light controller is a classic example of an FSM with states like "Green", "Yellow", and "Red".

FSMs provide a clear and structured way to design systems with well-defined behaviors, ensuring reliability and predictability.

How CodeBranch applies Finite State Machine (FSM) in real projects

The definition above gives you the concept — but knowing what Finite State Machine (FSM) means is different from knowing when and how to apply it in a production system. At CodeBranch, we have spent 20+ years building custom software across healthcare, fintech, supply chain, proptech, audio, connected devices, and more. Every entry in this glossary reflects how our engineering, architecture, and QA teams actually use these concepts on client projects today.

Our work combines AI-powered agentic development, the Spec-Driven Development (SDD) framework, CI/CD pipelines with agent rules, and production-grade quality gates. Whether you are evaluating a technology for your product, trying to understand a vendor proposal, or simply learning, this glossary is written to give you practical, accurate context — not theoretical abstractions.

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