CodeLogician Guides

These guides walk through real workflows using CodeLogician together with AI coding agents.

CodeLogician works best when used alongside tools like Claude Code, where the agent generates implementations while CodeLogician provides mathematical reasoning and behavioral analysis.

Instead of relying purely on statistical reasoning, CodeLogician introduces a logic-first layer that can:

  • discover edge cases automatically
  • prove important system properties
  • analyze behavioral boundaries
  • generate high-coverage test cases

The guides below demonstrate how to use these capabilities in practice.

If you're new to CodeLogician, start here:

  1. First Steps with CodeLogician
    Learn the typical workflow using a coding agent and the reasoning engine.

  2. Discovering Edge Cases
    Use CodeLogician to automatically find boundary conditions and hidden bugs.

  3. Behavioral Decomposition
    Understand how CodeLogician explores the complete behavioral space of a system.

  4. Generating Tests
    Generate high-coverage test cases directly from logical reasoning results.

Available Guides

First Steps with CodeLogician

Learn the typical workflow combining AI coding agents and logical reasoning.

  • Ask an agent to implement a system
  • Convert the behavior into a formal model
  • Run CodeLogician to analyze the system
  • use reasoning artifacts to refine the implementation

➡️ Read the guide

Discovering Edge Cases

Automatically discover boundary conditions that are easy to miss with traditional testing or LLM reasoning.

➡️ Read the guide

Behavioral Decomposition

Understand how CodeLogician breaks complex systems into distinct behavioral regions.

➡️ Read the guide

Generating Tests

Generate high-coverage test cases directly from logical reasoning results.

➡️ Read the guide

What You Will Learn

Across these guides you will see how CodeLogician can:

  • analyze complex system logic
  • uncover hidden edge cases
  • verify behavioral properties
  • generate artifacts that improve AI-generated code

These workflows demonstrate the core idea behind logic-first AI:

AI coding agents generate implementations, while CodeLogician ensures their behavior is fully understood.

Next Steps

If you have not already done so:

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