Description
Eliminate bugs and inefficiencies before they hit production. This AI-enhanced static code analysis engine uses trained ML models to flag security vulnerabilities, anti-patterns, and logic flaws in Python codebases. Unlike traditional linters, it learns from your codebase style, prioritizes issues by risk level, and generates context-aware remediation tips. Ideal for CI/CD pipelines, code reviews, and compliance audits.
Key Features:
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Scans entire repositories with dependency mapping
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Detects logic leaks, unsafe imports, and flawed try/excepts
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ML-trained bug recognition engine (based on CVEs and GitHub issues)
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Local GUI + CLI integration for dev workflows
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Exports reports in JSON, PDF, and SARIF formats
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Auto-generated patch suggestions using GPT-style models