AI-Assisted Secure Coding Pipeline

Embedding Local AI into DevSecOps

PROJECT STATUS: PLANNED 🟡 STACK: Git Hooks · CI/CD · Local LLMs FOCUS: Shift-Left Security · Automated Code Review

⚡ TL;DR

Moving security left means catching bugs while coding. This research designs a pipeline that uses local LLMs to scan git diffs, analyze commit messages for sensitivity, and suggest security fixes in real-time, acting as an intelligent pre-commit guardrail.

🔬 Core Research Areas

1. Pre-Commit Hooks: Integrating lightweight LLMs to scan staged changes.
2. Context Awareness: Reducing false positives by understanding project context.
3. Secret Detection: AI-augmented detection of API keys and credentials.
4. Developer UX: Making security alerts helpful, not annoying.

Expected Outcome: A repository with installable git hooks and configuration scripts for a secure AI coding assistant.