owainlewis/awesome-artificial-intelligence

Project overview

A curated directory of actively maintained resources, books, courses, and tools focused on AI engineering. It serves as a reference hub for finding materials on RAG, agents, evaluations, and deployment rather than functioning as executable software.

Deployment

Refer to project documentation

License

MIT

Best for

• Developers, AI engineers, and educators seeking a curated list of text-based resources and links focused on AI engineering.

Key capabilities

• A curated collection of must-use, actively maintained resources for building and shipping AI systems.
• Lists books, courses, and landmark papers to provide deep, durable knowledge.
• Categorizes tools, frameworks, IDEs, and models useful for building AI applications.

Limitations and risks

• The project provides a curated collection of text and links rather than executable software.

Getting started

• Setup difficulty, prerequisites, and first success paths are not documented, as the project provides curated text and links rather than executable software.

Evidence and sources

• README: A curated collection of **must-use, actively maintained resources** for building and shipping AI systems. Focus: **AI engineering** (RAG, agents, evals, guardrails, deploy) plus t…
• README: _Deep, durable knowledge — still valuable five years from now._
• README: _The toolchain for building with AI._ _Personal note: you don't need tons of frameworks — start with simple LLM calls and work up._
• README: - [PocketFlow](https://the-pocket.github.io/PocketFlow/) — Extremely minimalist AI agent framework in just 100 lines of code. Fantastic way to learn.
• README: - [Cursor](https://cursor.sh/) — LLM-powered IDE for multi-file edits and codebase-aware chat.

Reviewed at: 2026-07-17T14:46:17Z