AIFP
Verified Safeby aryanduntley
Overview
A modular Python server component designed to manage and track project metadata, code entities (files, functions, types), tasks, and functional programming compliance within a SQLite database for AI-driven development.
Installation
No command providedSecurity Notes
The source code demonstrates good security practices for database interactions by consistently using parameterized queries, effectively preventing SQL injection vulnerabilities. Path manipulation is also handled with explicit validation, such as checking for absolute paths and directory traversal ('..') to mitigate path injection risks. Reliance on 'subprocess.run' for Git commands is a necessary external dependency and potential attack surface, but is constrained to known Git commands. No direct 'eval' or obvious hardcoded secrets are present within the provided helper functions. Network risks, if any, would stem from external integrations defined in directives, not directly from these core helper files.
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