Why Claude.ai is Spot On: Embracing the Command Line Approach

In exploring AI tools for a Django application, I tried devin.ai, which generates pull requests based on requests made via the browser or Slack. While the code quality is impressive, the workflow entails several friction points: checking out branches for testing, setting up an external environment for bot testing, and pushing modifications to GitHub. This process is similar to ChatGPT Codex’s workflow, which I haven’t explored extensively. Conversely, I tested claude.ai, which offers a streamlined experience by using a command line interface (CLI). This approach allows modifications directly in the local environment, eliminating the aforementioned friction points and enhancing efficiency. Additionally, CLI tools can be integrated into any Integrated Development Environment (IDE), making it easier for users to maintain their preferred setup, although I haven’t tested this integration yet. Overall, claude.ai appears to provide a more seamless development experience compared to devin.ai.

Source link