Getting Started with CodeLogician

CodeLogician helps AI coding agents reason about complex software using math and logic.

Instead of relying purely on statistical reasoning from LLMs, CodeLogician introduces a logical reasoning layer that can:

• discover edge cases
• verify system invariants
• explore behavioral boundaries
• generate high-coverage test cases

Choose Your Interface

CodeLogician can be used through several interfaces depending on your workflow.

Recommended starting point: codelogician CLI

This lightweight shell interface lets coding agents invoke CodeLogician without installing Python dependencies.

CodeLogician CLI Installation

To install the CodeLogician CLI:

curl -fsSL codelogician.dev/codelogician/install.sh | sh

Or install with pip (requires Python 3.12+):

pip install codelogician

Then verify the installation:

codelogician --help

Typical CodeLogician CLI Workflow

You, or your coding agent (Claude Code, Codex, Cursor, …):

• Learn the IML language and ImandraX reasoning engine using codelogician doc
• Convert source code into formal models
• Run reasoning with the codelogician eval command (prove properties, find counterexamples, decompose function state-space, …)
• Inspect proofs, counterexamples, generated tests, and artifacts

What CodeLogician Provides

CodeLogician combines LLM generation with logical reasoning.

Key capabilities include:

• Automated reasoning using the ImandraX engine
• Formal verification of critical logic
• Counterexample discovery when assumptions fail
• Behavioral decomposition of complex systems
• Test generation based on real execution boundaries

Next Steps

Continue learning how to use CodeLogician:

• Quickstart — run CodeLogician in under a minute
• Guides — practical workflows with AI coding agents
• Tutorials — step-by-step walkthroughs
• Interfaces — choose the right interface for your workflow