Best Practices for AI Code Evaluation
Introducing Bill Mill's AI-Powered Code Review Tool
Bill Mill, a seasoned developer, has created an innovative tool designed to aid developers in evaluating pull requests (PRs). The tool, named msty, leverages artificial intelligence (AI) to flag potential errors and suggest improvements, acting as a helpful assistant in the code review process.
How msty Works
This tool operates through a command-line interface (CLI) that connects to a large language model (LLM) of the user’s choice. Users can select local AI models or connect to remote services, such as Google Gemini, if they have access keys. The tool is a simple bash script, making it easy to customize parameters like the system prompt.
For instance, you can instruct the AI to review code from the perspective of a senior engineer, enhancing its effectiveness.
Key Features
msty's reviews are structured, providing a brief summary of the PR purpose and changes, a list of strengths, identified issues and improvement opportunities (ordered by priority), and specific code examples for suggested changes where applicable. The tool is designed to evaluate PRs, focusing on architecture, design decisions, potential bugs, edge cases, performance considerations, security implications, code maintainability, and best practices.
Using msty
To use msty, you can review PRs by comparing branches via commands like . Bill Mill primarily uses the tool to review his own PRs before submission and to inspect others’ PRs.
However, it's important to note that AI suggestions should be intelligently evaluated. Blindly accepting or dismissing AI-generated comments can be both rude and unhelpful. Instead, consider the AI's suggestions as a useful guide to improve your code.
Getting Started with msty
If you have a large graphics card and are interested in working with local LLMs, you might find msty useful. To get started, you can obtain a free key for Google Gemini and set it up for the tool.
In summary, msty is a practical, human-supervised assistant in the code review process. Its flexible CLI interface, integration with various LLMs, and focus on providing specific, constructive, and actionable feedback make it an invaluable tool for developers.
The AI-Powered Code Review Tool, msty, utilizes artificial intelligence (AI) to offer constructive feedback and suggestions for code improvements, serving as a valuable assistant during the code review process. As it operates through a command-line interface (CLI) and integrates with various large language models (LLMs), developers can customize its parameters to suit their needs, such as simulating a senior engineer's perspective.
