As a developer, I’ve been keeping a close eye on the AI-powered coding assistant battle between GitHub Copilot and Amazon CodeWhisperer. These tools have revolutionized the development process, making it more efficient and enjoyable. Let’s dive into the details of each and compare their pros and cons.

GitHub Copilot

  • Developed by GitHub and OpenAI, powered by OpenAI’s Codex model
  • Streamlined integration with major code editors
  • Optimized for seven major programming languages and supports many frameworks
  • A subscription-based model with a 60-day free trial, free for verified students and maintainers of popular open-source projects


  • Easy to use
  • Wide language and framework support
  • Large user base, over 1.2 million developers during the technical preview


  • Some concerns regarding privacy and data collection
  • May suggest insecure or outdated code patterns

Amazon CodeWhisperer

  • Developed by Amazon and trained on in-house and open-source code
  • Focused on first-class support for AWS APIs
  • Currently in preview and free to use during this period


  • Great for AWS development
  • Integrated vulnerability detection for Java and Python projects
  • Offers options for content sharing during the preview phase


  • Limited language and IDE support compared to Copilot
  • Still in preview, meaning the potential for bugs and instability

GitHub Copilot offers broader language and IDE support, and it’s been around longer, allowing for more refinement. However, if you work primarily with AWS, Amazon CodeWhisperer might be the better option due to its focus on AWS APIs and integrated vulnerability detection. As technology advances, AI-powered coding assistants like these will likely become must-have tools for developers.