Compliance Bros: AI-Powered Code Compliance Agent

An AI-powered agent that audits, refactors, and enforces compliance in legacy codebases Built to help startups and enterprises scale globally while staying technically efficient and regionally compliant.

Overview

This project introduces a Code Compliance & Legacy Modernization Agent that can automatically analyze, refactor, and verify compliance of large-scale or outdated repositories. It uses Daytona sandboxes to run isolated audits, BrowserUse to fetch and interpret global compliance standards, and Galileo for evaluation and lifecycle monitoring.

The agent bridges code modernization and regulatory intelligence, aiming to make compliance checking continuous, explainable, and autonomous.

Key Features

Legacy Codebase Checker Scans outdated repositories (Fintech, Education, etc.) for deprecated patterns, vulnerabilities, and poor coding practices. Evaluates accuracy and effectiveness using Daytona sandbox environments. Suggests or applies safe automated modifications to modernize the codebase. Compliance Checker (New) Uses BrowserUse to pull latest regional or industry-specific compliance laws. Runs these standards against the code to detect violations or missing policy implementations. Feeds findings into Galileo for AI-driven analysis and report generation. Code Modifier + Lifecycle Integration The Daytona agent executes a full audit lifecycle: Spawn → Initialize a sandbox and fetch regional complaint metadata. Fetch → Use BrowserUse to get updated legal codes or compliance templates. Run & Audit → Execute the target code in isolation and monitor violations. Evaluate → Log results and model outputs through Galileo. Improve → Suggest or auto-correct non-compliant code segments.

Future Roadmap

Feature Description AI Complaint Handling: Build an agent that dynamically reacts to user or institutional compliance complaints. Defense Tech Integration: Extend compliance checks to high-security and defense-oriented code. Nuclear Powerplant AI Compliance: Create high-assurance audits for mission-critical autonomous systems. AI Compliance Reporter: Real-time compliance monitoring with auto-push or self-correction of violations.

Tech Stack

Daytona SDK — Creates and runs reproducible sandboxes for controlled execution. Galileo SDK — Observability layer for logging model behavior, prompts, and performance. BrowserUse — Autonomous browser agent for retrieving compliance data and running live tests. Python 3.11+ Streamlit / FastAPI

Setup & Usage

Clone this Repository git clone https://github.com/4taur/daytona_hackathon.git cd daytona_hackathon

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