Imandra Inc., a leader in neurosymbolic AI and automated reasoning, has announced the launch of CodeLogician, a revolutionary LangGraph-powered agent designed to transform source code into mathematical models for advanced analysis. Leveraging ImandraX, the company’s flagship reasoning engine, CodeLogician introduces a new standard for formal verification, state-space exploration, and automated test-case generation at the application level.
A New Era of AI for Code Analysis
Unlike traditional AI coding tools that rely on Large Language Models (LLMs) for code generation and test creation, CodeLogician goes beyond pattern-based predictions. While LLM-generated code can appear correct, it often lacks guarantees of accuracy and requires manual validation. CodeLogician overcomes this challenge by automatically converting source code into rigorous mathematical models, ensuring deep reasoning and formal verification for application-level software.
“Current generative AI coding tools generate plausible-looking code without any way to guarantee accuracy, and the code is often wrong in subtle, dangerous ways,” said Dr. Grant Passmore, Co-CEO and Co-Founder of Imandra Inc. “CodeLogician goes beyond generative AI—using symbolic mathematical reasoning to ensure code actually behaves as intended.”
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The tool is initially launching for Python, with future expansions to Java, COBOL, and additional languages, including legacy software transformation.
Proven Formal Reasoning for Everyday Developers
Built on ImandraX, the next-generation evolution of Imandra’s battle-tested reasoning engine, CodeLogician brings enterprise-grade verification technology—previously used in stock exchanges, financial services, and government projects—to mainstream developers. This allows engineering teams to detect subtle bugs, prove system correctness, and improve software reliability.
“Bill Gates famously dubbed formal methods for general software development as the ‘Holy Grail,'” said Denis Ignatovich, Co-CEO and Co-Founder of Imandra Inc. “Now, with the power of neurosymbolic AI and breakthroughs in automated reasoning, we’re stepping ever closer to achieving that goal—putting advanced reasoning tools directly into the hands of engineers.”
Bridging the Gap Between Symbolic and Generative AI
CodeLogician is built within the LangGraph agentic framework, enabling it to combine LLM-based translation with deep symbolic reasoning. By iteratively refining its models and providing high-assurance guarantees, CodeLogician delivers an unparalleled level of code verification and analysis that traditional LLM-based tools cannot match.
With AI-generated code becoming more prevalent, the need for trusted verification tools has never been greater. CodeLogician represents a major advancement in AI-driven software validation, helping developers ensure accuracy, security, and reliability in an increasingly automated world.