A continuously updated map of the generative AI ecosystem - genuinely useful for orienting yourself in a space that changes every few weeks.
Where awesome-generative-ai fits, based on its real tags and topics.
git clone https://github.com/steven2358/awesome-generative-ai.gitSee the repository's README for language-specific setup steps.
Awesome Generative AI [](https://awesome.re)
> A curated list of modern Generative Artificial Intelligence projects and services.
Generative Artificial Intelligence is a technology that creates original content such as images, sounds, and texts by using machine learning algorithms that are trained on large amounts of data. Unlike other forms of AI, it is capable of creating unique and previously unseen outputs such as photorealistic images, digital art, music, and writing. These outputs often have their own unique style and can even be hard to distinguish from human-created works. Generative AI has a wide range of applications in fields such as of art, entertainment, marketing, academia, and computer science.
Category: 📚 Learning Resources
Difficulty: Beginner
“The most widely adopted framework for chaining LLM calls, tools, and retrieval into real applications - a near-default starting point for RAG and agent projects.”
The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents
“The cleanest way to wire streaming LLM responses into a React/Next.js UI - handles the hard parts (streaming, tool calls, edge runtimes) so you don't have to.”
“The official, minimal-overhead client for OpenAI's API - the right starting point before reaching for a bigger framework.”
“The standard library for working with open-weight models - thousands of pretrained models are one line of code away.”
“A genuinely free, complete curriculum from first line of HTML through backend development and certification - one of the best on-ramps into the field.”
“The visual "what should I learn next" map behind roadmap.sh - a fast way to see the full shape of a role before diving into any one topic.”
“The definitive directory of self-hostable software - the first stop before assuming you need to pay for a SaaS subscription for a common tool.”
“A collection of real, working LLM application examples with actual code - more useful for learning by example than most tutorials that stop at a toy demo.”
“A curated map of build-your-own-database/shell/Docker/etc. tutorials - the fastest way to actually understand a technology is still to rebuild a small version of it yourself.”
The Postgres development platform. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
“A genuinely open-source Firebase alternative - real Postgres underneath, with auth, storage, and realtime built in rather than a proprietary database.”
“The industry-standard container orchestrator - not always necessary at small scale, but the default assumption for any serious cloud-native platform team.”
“The most capable open-source relational database available - strong standards compliance, extensions for nearly everything (including full-text search and vectors), and a default choice for good reason.”
“Unifies dozens of LLM providers behind a single API, making model switching almost effortless in production.”
“The modern default frontend build tool - native ESM in dev means a dev server that starts and reloads almost instantly, even on large apps.”
“The open-source engine behind Docker - understanding containers here pays off no matter which orchestrator sits on top later.”
