Title: Case Study 2 Automated Code Review Tool
Course: LLM_Prompt_Engineering_For_Developers > Section: Module 62: Case Study 2 Automated Code Review Tool

Case Study 2: Automated Code Review Tool

Background

A software development firm needed a way to streamline code reviews. Manual reviews consumed significant time and resources, and the firm sought an AI solution.

Implementation

- Prompt Engineering for Code Analysis: The developers used prompts to instruct the LLM to assess code quality, adherence to best practices, and potential bugs. Sample prompts included:
  - “Review this function for potential performance issues and suggest optimizations.”
  - “Identify any security vulnerabilities in the following JavaScript code.”
- Feedback Loop Creation: After generating reviews, developers implemented a feedback loop where the tool learned from manual reviews to improve its suggestions over time.

Results

- Time Savings: Code review time was cut by 50%, allowing developers to release updates faster.
- Quality Improvements: The number of post-deployment bugs decreased by 25% due to more rigorous upfront reviews.

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