AI Code Refactor Suggester for Legacy Systems

Automate the identification of refactoring opportunities in legacy codebases, helping developers improve maintainability and performance without manual review.

درآمد ماهانه

$2,000–$7,000

سختی

hard

هزینه شروع

$500

زمان تا اولین درآمد

8–12 weeks

خلاصه

This tool analyzes legacy code from GitHub repositories and uses AI to suggest refactoring improvements. It identifies patterns for optimization, suggests cleaner code, and can even generate preliminary pull requests or Jira tickets.

مراحل اجرا

1. Develop code analysis AI
Train a custom AI model (or fine-tune an existing LLM like ChatGPT) to understand code structure, identify anti-patterns, and suggest improvements for specific languages.
2. Integrate with GitHub
Build an integration using the GitHub API to allow users to connect their repositories and feed code for analysis.
3. Build suggestion dashboard
Create a dashboard (e.g., with Bubble) where users can view AI-generated refactoring suggestions, explanations, and estimated impact.
4. Implement Jira/PR creation
Add functionality to automatically generate Jira tickets or draft pull requests based on accepted refactoring suggestions.
5. Beta test with developers
Recruit a small group of developers working with legacy systems to beta test the tool and gather feedback for refinement.

سؤالات متداول

What programming languages will be supported?

Initially, we will focus on one or two widely used languages like Java or Python, with plans to expand based on demand.

How does it handle complex enterprise setups?

The tool will be designed with secure access and granular permissions, allowing it to integrate into enterprise environments while respecting security protocols.

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