How I use AI coding tools as a Rails dev
SMRTR summary
Coding with large language models (LLMs) is gaining popularity among developers. A Rails developer discusses using various LLM tools for tasks like debugging, autocomplete, code generation, and solution architecting. They primarily use Supermaven for autocomplete and GitHub Copilot for chat features, while exploring other tools like JetBrains AI Assistant and Claude. Despite some limitations, LLMs have significantly improved the developer's workflow, making coding more efficient. The AI coding tool landscape is rapidly evolving, with Cursor emerging as a promising option for LLM integration.
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