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codelogician
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CodeLogician applies neurosymbolic AI to translate source code into precise mathematical logic, striving to create a formal model of the program's behavior that's functionally equivalent to the original source code.
CodeLogician is the neurosymbolic agentic governance framework for AI-powered coding.
It helps your coding agent think logically about the code it's producing and test cases it's generating. The fundamental flaw that all LLM-powered assistants have is the reasoning they're capable of is based on statistics, while you need rigorous logic-based automated reasoning.
To run CodeLogician, please obtain an Imandra Universe API key available (there's a free starting plan)
at Imandra Universe and make sure it's available in your environment as IMANDRA_UNI_KEY.
Three typical workflows:
doc command (e.g. codelogician doc --help)eval command to evaluate itcodelogician doc view errors command to study how to correct the errors and re-evalute the codeagent command you can formalize a single source code file (e.g. codelogician agent PATH_TO_FILE)multiagent command you can formalize a whole directory (e.g. codelogician agent PATH_TO_DIR)multiagent commandLearn more at CodeLogician!
To get started,
codelogician --help
FAQs
CodeLogician applies neurosymbolic AI to translate source code into precise mathematical logic, striving to create a formal model of the program's behavior that's functionally equivalent to the original source code.
We found that codelogician demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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