Problems Encountered with Roo Code and Solutions
Analysis
This article discusses the challenges faced when using Roo Code, despite the initial impression of keeping up with the generative AI era. The author highlights limitations such as cost, line count restrictions, and reward hacking, which hindered smooth adoption. The context is a company where external AI services are generally prohibited, with GitHub Copilot being the exception. The author initially used GitHub Copilot Chat but found its context retention weak, making it unsuitable for long-term development. The article implies a need for more robust context management solutions in restricted AI environments.
Key Takeaways
- •Roo Code faces limitations in cost and usage.
- •Context retention is crucial for long-term AI development.
- •Restricted AI environments require tailored solutions.
“Roo Code made me feel like I had caught up with the generative AI era, but in reality, cost, line count limits, and reward hacking made it difficult to ride the wave.”