ReviewBot - AI-Powered Code Review, BOM & License Validator

ReviewBot is an AI assistant that reviews source code, detects bugs, analyzes software components(bill of materials BOX) and validates licenses. It uses GPT, LLaMA to provide accurate suggestions.

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Inspiration

As developers, we often face time crunches that result in quick code pushes without thorough reviews. These rushed submissions can lead to bugs, security issues and compliance risks — especially in multi-language codebases. We wanted to create a smart, automated assistant that ensures every piece of code meets high-quality standards, regardless of the developer’s expertise in that language.

What it Does

ReviewBot is an AI-powered assistant that:

  • Automatically does Code Reviews for bugs, vulnerabilities and refactoring opportunities.
  • Generates a Software Bill of Materials (SBOM) to list third-party and standard libraries used.
  • Performs License Validation to flag risky licenses like GPL/LGPL that might violate company policies.
  • Suggests improvements for documentation and code readability.
  • Supports multiple programming languages with the ability to switch between AI models (gpt 4.o, LLaMA).

How We Built It

We built ReviewBot using:

  • Python & Flask for the backend service.
  • OpenAI API and OllamaAPI for AI-based code analysis.
  • A clean and intuitive HTML/JS frontend to display analysis results.
  • License and dependency parsing logic to extract SBOM and license data.
  • Dockerized environment for easy deployment and local testing.

Challenges We Ran Into

  • Designing a consistent UI/UX that accommodates outputs from different AI models.
  • Handling language detection and mapping appropriate rules across languages.
  • Parsing deeply nested dependencies to detect indirect license risks.
  • Balancing model response time vs. accuracy while maintaining a smooth user experience.

Accomplishments That We're Proud Of

  • Successfully integrated multiple AI models into a single review pipeline.
  • Built a robust SBOM and license validator that flags both direct and indirect license issues.
  • Delivered a fully functional live demo with bug detection, code suggestions and visual diff.
  • Enabled multilingual support — a key advantage for diverse engineering teams.

What We Learned

  • The power and limitations of using LLMs for static code analysis.
  • The importance of clear UI/UX when presenting AI-generated code recommendations.
  • How licenses like GPL/LGPL can create legal concerns in enterprise software.
  • How to modularize code analysis tools to support multi-language compatibility.

What's Next for ReviewBot

  • Adding CI/CD pipeline integration to auto-analyze pull requests.
  • Supporting more languages like Go, Rust, and Swift.
  • Adding team-based dashboards for code quality trends over time.
  • Enhancing customization options for org-specific code rules and license policies.
  • Introducing self-learning capabilities using past reviews and corrections.

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