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Getting Started with AI Tools for Developers

Blog · 2025-01-15 · 1 min read

A short guide to choosing and using AI coding and LLM tools.

  • ai
  • developers
  • getting-started

This guide covers how to evaluate AI tools for development: coding assistants, LLM APIs, and agent frameworks. We focus on information density and fit for your stack.

What to look for

  • API vs IDE: Do you need an API (OpenAI, Anthropic, Replicate) or an in-editor experience (Cursor, Copilot, Continue)?
  • Open vs closed: Local models (Ollama) and open APIs (Together, Groq) vs proprietary (OpenAI, Anthropic).
  • RAG and agents: If you're building RAG or agents, consider LangChain, LlamaIndex, or the Vercel AI SDK plus a vector store.

Next steps

Browse the AI directory and use filters for category and pricing. Use Compare to see tools side by side.

Author

Vineet Talwar

Tech Consultant, Fractional CTO, Public Speaker, Climate-tech enthusiast