"Project Analyzer with Amazon Q Developer CLI" A command-line tool that automates project analysis using Amazon Q Developer

This is a submission for the Amazon Q Developer "Quack The Code" Challenge: Crushing the Command Line What I Built I developed a command-line tool that enhances and automates code analysis using Amazon Q Developer. This tool helps developers quickly get structured reports about their projects, identify code issues, and receive improvement recommendations. Unlike standard Amazon Q Developer usage, my tool: Provides more structured and visually appealing (colored) output Allows saving analysis results to a file for future reference Displays project statistics and analysis execution time Features improved error handling with explanations Demo Basic analysis output showing colored sections and statistics Error handling demonstration with helpful guidance Usage Examples: Basic analysis python q_analyze.py ./my_project Detailed analysis with file output python q_analyze.py ./my_project -o results.txt -v Code Repository GitHub: Project Analyzer How I Used Amazon Q Developer Project Structure Creation I used Amazon Q Developer to develop the initial script structure and plan its functionality. The tool helped determine the optimal application architecture and select appropriate Python libraries. Command-Line Interface Enhancement Amazon Q Developer suggested using the argparse module for more flexible command-line parameter handling, which significantly improved the user experience. Results Output Optimization With Amazon Q Developer's help, I implemented colored output and result formatting, making the tool more visual and pleasant to work with. Error Handling Amazon Q Developer helped create a robust error handling system with user-friendly messages and recommendations for fixing issues. Testing I used Amazon Q Developer to create test scenarios on various project types to ensure the tool's reliability. Challenges I Faced During tool development, I encountered several challenges: Command Output Processing: I needed to correctly process and format the Amazon Q Developer command output. Cross-Platform Compatibility: Ensuring colored output works across different operating systems. Large Project Handling: Optimizing performance with large projects. Amazon Q Developer helped me find solutions for all these issues and suggested optimal approaches to resolve them. Future Plans In the future, I plan to expand the tool's functionality: Add support for selective analysis of specific file types Implement the ability to compare results of two analyses Create an interactive mode with step-by-step recommendations Add integration with CI/CD systems Conclusion This project demonstrates how Amazon Q Developer can be used not only for code analysis but also for creating tools that improve developers' workflow. The tool significantly simplifies and accelerates the project analysis process, making it more visual and informative. P.S. Remember to install Amazon Q Developer CLI to use this tool!

May 5, 2025 - 00:27

"Project Analyzer with Amazon Q Developer CLI" A command-line tool that automates project analysis using Amazon Q Developer

This is a submission for the Amazon Q Developer "Quack The Code" Challenge: Crushing the Command Line

What I Built

I developed a command-line tool that enhances and automates code analysis using Amazon Q Developer. This tool helps developers quickly get structured reports about their projects, identify code issues, and receive improvement recommendations.

Unlike standard Amazon Q Developer usage, my tool:

Provides more structured and visually appealing (colored) output
Allows saving analysis results to a file for future reference
Displays project statistics and analysis execution time
Features improved error handling with explanations

Demo
Basic analysis output showing colored sections and statistics

Error handling demonstration with helpful guidance

Usage Examples:

Basic analysis
python q_analyze.py ./my_project

Detailed analysis with file output
python q_analyze.py ./my_project -o results.txt -v

Code Repository

GitHub: Project Analyzer

How I Used Amazon Q Developer

Project Structure Creation
I used Amazon Q Developer to develop the initial script structure and plan its functionality. The tool helped determine the optimal application architecture and select appropriate Python libraries.
Command-Line Interface Enhancement
Amazon Q Developer suggested using the argparse module for more flexible command-line parameter handling, which significantly improved the user experience.
Results Output Optimization
With Amazon Q Developer's help, I implemented colored output and result formatting, making the tool more visual and pleasant to work with.
Error Handling
Amazon Q Developer helped create a robust error handling system with user-friendly messages and recommendations for fixing issues.
Testing
I used Amazon Q Developer to create test scenarios on various project types to ensure the tool's reliability.

Challenges I Faced

During tool development, I encountered several challenges:

Command Output Processing: I needed to correctly process and format the Amazon Q Developer command output.
Cross-Platform Compatibility: Ensuring colored output works across different operating systems.
Large Project Handling: Optimizing performance with large projects.

Amazon Q Developer helped me find solutions for all these issues and suggested optimal approaches to resolve them.

Future Plans

In the future, I plan to expand the tool's functionality:

Add support for selective analysis of specific file types
Implement the ability to compare results of two analyses
Create an interactive mode with step-by-step recommendations
Add integration with CI/CD systems

Conclusion

This project demonstrates how Amazon Q Developer can be used not only for code analysis but also for creating tools that improve developers' workflow. The tool significantly simplifies and accelerates the project analysis process, making it more visual and informative.

P.S. Remember to install Amazon Q Developer CLI to use this tool!