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Secure Your AI-Generated Code with Socket MCP
Socket MCP brings real-time security checks to AI-generated code, helping developers catch risky dependencies before they enter the codebase.
:Author: Alan Franzoni :Copyright: This document has been placed in the public domain.
Enables easy dependency injection and declarative configuration for
Python projects. While inspired by projects such as Spring Framework
or Ruby's DIM, it is designed to be unobtrusive. It doesn't require
modification in your business code to be employed; it can just be used in
the outer layer, where configuration is actually needed.
Small additional tools to help with configuration management are provided
and can be used when and where are really fit.
__ .. _homepage: http://pydenji.franzoni.eu
FAQs
Dependency Injection Toolkit
We found that pydenji 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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Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Product
Socket MCP brings real-time security checks to AI-generated code, helping developers catch risky dependencies before they enter the codebase.
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