owainlewis/awesome-artificial-intelligence

Project overview

The project provides a focused list of actively maintained resources for building and shipping AI systems, addressing the difficulty of finding materials among an abundance of options.

Project type

Prompt Engineering

Deployment

Refer to project documentation

License

MIT

Best for

• Developers, AI engineers, and educators seeking a categorized, static list of links and descriptions for AI engineering resources.

Key capabilities

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

Limitations and risks

• The project provides text and links rather than executable software.

Getting started

• No setup instructions or first success path are documented.

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

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