Automated auditing of products and codebases with orchestrated LLM agents. Turns a manual, expert review into a repeatable system.
LLM Audit runs structured, automated reviews over a product or codebase using orchestrated LLM agents, and produces a prioritized report a human can act on.
Expert review across security, code quality, UX and architecture is slow and inconsistent when done by hand. LLM Audit makes it repeatable, faster and consistent.
- Agent orchestration: specialized agents each focus on one dimension of the review.
- Automated analysis: the system gathers the relevant context and runs the agents over it.
- Reporting: findings are consolidated into a single prioritized report.
Python, TypeScript, LLM APIs, agent orchestration.
Active project.
Built by Nahuel Soria · LinkedIn