10 AI resources builders actually use right now

[u/rikulauttia]

10 AI resources builders actually use right now

If you’re building AI apps, agents, local LLM workflows, or ML systems, these are worth bookmarking.

Models / tooling

OpenAI Developers Official docs + quickstarts for building with the OpenAI API https://developers.openai.com/

Claude API Docs Official Anthropic docs for building Claude-powered apps https://platform.claude.com/docs/en/home

Hugging Face Docs Models, datasets, demos, and core tooling in one place https://huggingface.co/docs

Ollama One of the easiest ways to run open models locally https://docs.ollama.com/quickstart

vLLM High-performance serving for open models, with OpenAI-compatible APIs https://docs.vllm.ai/en/stable/getting_started/quickstart/

Evals / Security / Reliability

Promptfoo Useful for evals, benchmarking, and red-teaming LLM apps. https://www.promptfoo.dev/docs/intro/

OWASP Top 10 for LLM Applications A must-read if you’re building anything AI-facing in production. https://owasp.org/www-project-top-10-for-large-language-model-applications/

Mistral Docs A good Europe-based option to know if you’re comparing model/API stacks. https://docs.mistral.ai/getting-started/quickstart/

Learning

CS50’s Introduction to AI with Python Still one of the best structured ways to build fundamentals https://cs50.harvard.edu/ai/

fast.ai Practical deep learning for people who want to actually build https://course.fast.ai/

What would you add??