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Amazon Q Developer: A Follow-up Experience with Code Transformation
I recently experimented with Amazon Q Developer for GitHub, testing its ability to transform code from one language to another. While Amazon Q Developer shows promise, my experience revealed some interesting limitations in its current preview state. The Project: EC2 Underutilization Report Tool My test case involved Alok Shankar's EC2 underutilization reporting tool - a clever Bash script that identifies idle EC2 instances to reduce AWS costs. The original script: Collects 7-day average CPU usage from CloudWatch Gathers memory metrics when CloudWatch Agent is configured Captures EC2 metadata (ID, type, Name tag) Generates downsizing recommendations Sends HTML email reports with CSV attachments This tool represented an ideal candidate for transformation - a useful utility written in Bash that could benefit from Python's improved maintainability, error handling, and testability. My Experience with Amazon Q Developer After forking the repository to my GitHub account, I created Issue #1 with detailed requirements for transforming the script to Python. My prompt was comprehensive, requesting: Complete rewrite in Python for better reliability Preservation of output format Addition of pytest unit tests Enhanced metrics collection beyond CPU More actionable cost-saving recommendations Adherence to Python best practices I then added the "Amazon Q transform agent" label to engage the AI assistant. Unexpected Results What happened next was surprising. Instead of addressing my Python transformation request: Amazon Q Developer immediately responded: "I'm getting ready to upgrade your code to Java 17" It attempted to run a GitHub Actions workflow for a Java/Maven project When this failed, it requested I configure a Java workflow configuration The entire context of my transformation request was seemingly ignored Amazon Q Developer: Key Limitations and Lessons The Transform agent: Surprisingly, despite being labeled as a general "transform agent," Amazon Q Developer appears primarily designed for Java upgrades. The label "Amazon Q transform agent" should be updated to clearly indicate "Amazon Q Java transform agent" to avoid confusion. Takeaways The concept remains promising - automated code transformations via GitHub issues could dramatically improve developer productivity.
I recently experimented with Amazon Q Developer for GitHub, testing its ability to transform code from one language to another. While Amazon Q Developer shows promise, my experience revealed some interesting limitations in its current preview state.
The Project: EC2 Underutilization Report Tool
My test case involved Alok Shankar's EC2 underutilization reporting tool - a clever Bash script that identifies idle EC2 instances to reduce AWS costs. The original script:
- Collects 7-day average CPU usage from CloudWatch
- Gathers memory metrics when CloudWatch Agent is configured
- Captures EC2 metadata (ID, type, Name tag)
- Generates downsizing recommendations
- Sends HTML email reports with CSV attachments
This tool represented an ideal candidate for transformation - a useful utility written in Bash that could benefit from Python's improved maintainability, error handling, and testability.
My Experience with Amazon Q Developer
After forking the repository to my GitHub account, I created Issue #1 with detailed requirements for transforming the script to Python. My prompt was comprehensive, requesting:
- Complete rewrite in Python for better reliability
- Preservation of output format
- Addition of pytest unit tests
- Enhanced metrics collection beyond CPU
- More actionable cost-saving recommendations
- Adherence to Python best practices
I then added the "Amazon Q transform agent" label to engage the AI assistant.
Unexpected Results
What happened next was surprising. Instead of addressing my Python transformation request:
- Amazon Q Developer immediately responded: "I'm getting ready to upgrade your code to Java 17"
- It attempted to run a GitHub Actions workflow for a Java/Maven project
- When this failed, it requested I configure a Java workflow configuration
- The entire context of my transformation request was seemingly ignored
Amazon Q Developer: Key Limitations and Lessons
The Transform agent: Surprisingly, despite being labeled as a general "transform agent," Amazon Q Developer appears primarily designed for Java upgrades. The label "Amazon Q transform agent" should be updated to clearly indicate "Amazon Q Java transform agent" to avoid confusion.
Takeaways
The concept remains promising - automated code transformations via GitHub issues could dramatically improve developer productivity.
