Guide contents
10 GitHub repositories that will help you become an AI engineer in 90 days
Becoming an AI engineer today isn't all about models and prompts. Most of the real work is built around agents, RAG systems, orchestration, vector databases, and AI infrastructure.
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Related Ecosystem Resources
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Top GitHub Repositories for SEO and Keyword Research
8 battle-tested open-source GitHub repositories for semantic keyword discovery, technical audits, and Generative Engine Optimization (GEO).
Prompt Engineering Roadmap 2025: From Zero to Senior
The complete prompt engineering roadmap for 2025: from core Few-shot and Chain-of-Thought techniques to ReAct agentic workflows, DSPy, injection defense, and RAG.
GitHub Copilot Workspace
GitHub's cloud-based agent development environment transforms GitHub Issues into fully specified and tested Pull Requests without the need for local repository cloning.
Harvard Opens Free Detailed Course on ML Systems Engineering
Harvard has opened access to CS249r, a course focused on the infrastructure behind training, inference and deployment of AI models. The materials include TinyTorch, interactive labs, MLSys·im and lecture slides.
Illusion of Competence
A cognitive distortion where the ease and speed of obtaining generated code from a model creates a misleading belief in the developer that they understand the fundamental principles of the system's operation.
AGENTS.md in Ghostty and Turborepo makes AI agents report on users
Examples of AGENTS.md files show how repository instructions can force AI agents to add insulting notes about developers to pull requests.