You've learned about AI models and applications. But how do the big names like ChatGPT, Gemini, and Claude actually fit into software development workflows?
Each major AI coding assistant runs on specific "engine" models, and understanding this ecosystem helps you choose the right tool for your development needs.
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Which AI coding assistant have you used for programming?
ChatGPT, made by OpenAI, is probably the most popular for developers. But here's the secret - it's powered by different versions of GPT models!
GPT-3.5, GPT-4, and newer versions like GPT-4o are the actual "brains" inside. ChatGPT is just the friendly interface wrapped around them for coding conversations.
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Did you know ChatGPT can switch between different GPT versions for better code generation?
Google's Gemini (formerly Bard) works the same way for development tasks. It's powered by Google's own model family - also called Gemini!
They have Nano (for mobile apps), Pro (balanced coding), Ultra (complex algorithms), and Flash (quick code snippets). Each serves different development purposes.
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Have you noticed Gemini integrated into Google Colab or Android Studio?
Claude, created by Anthropic, follows a poetic naming pattern for coding work. Its models are Haiku (fast debugging), Sonnet (balanced development), and Opus (complex architecture).
Claude excels at code reviews and can analyze entire codebases - up to 200,000 words of code!
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What would you use an AI for - quick bug fixes or comprehensive code analysis?
Here's something cool for developers - these companies can upgrade the "engine" without changing the coding interface!
ChatGPT might upgrade from GPT-4 to GPT-4.5, keeping the same chat interface but with better code suggestions. Most coding tools have a dropdown that lets you switch the model.
