I recently had the opportunity to test GitHub Copilot's multi-model capabilities, experimenting with the major models available on the market: Claude, Gemini, and ChatGPT. To maximize their effectiveness, I paired them with Spec-kit to provide deep repository context.
After extensive daily use, here are my clear observations and arguments for when to use which model in your development workflow.
Claude - Feels Like a Cheat Code!
Code Generation: Best. It is unmatched in generating code and is highly capable of understanding complex, multi-microservice codebases. The generated code strictly adheres to our codebase's principles and practices (e.g., camelCase, snake_case). The code generated is completely free of deprecated methods and leverages the latest packages and coding practices.
Context Analysis: Best. It deeply understands the given requirements and flawlessly searches all impacted areas of the repository.
