Curated Links
Tools, Models & Courses
Curated links to GitHub repos, model hubs, and learning resources. Filter by tag or browse all.
Tools
GitHub repos, CLIs, and dev tools
Sphinx
AI copilot for data science. One prompt runs the full
Lovable
AI-powered app builder. Design in the browser, export to GitHub.
Cursor
AI-first code editor. Built on VS Code, with Copilot-style assistance.
Claude Code
Command-line coding agent. Scaffold and edit projects from natural language.
PydanticAI
Structured AI agents in Python. Type-safe, testable agent workflows.
LangChain
Framework for LLM applications. Chains, agents, and integrations.
PAL MCP
Provider-agnostic MCP server that turns your AI CLI or IDE into a coordinator for multiple
Promptify
Developer-friendly NLP wrapper for LLMs. Run NER, classification, and more with minimal code and zero training data. Converts unstructured model output into reliable, structured Python objects for production.
collaborating-with-codex
Agent Skill that lets Claude delegate coding tasks to the OpenAI Codex CLI for multi-model collaboration. Claude coordinates and refines; Codex handles implementation, debugging, and code analysis in a sandbox.
Happy Coder
Mobile, web, and CLI client for Claude Code and Codex. Run and monitor from anywhere with E2E encryption, push notifications when the agent needs attention, and seamless switching between desktop and phone.
Docker Sandboxes for Claude Code
Run Claude Code in an isolated, reproducible Docker environment without changing how you use the CLI. Sandboxed file access and credentials for security and reliability; supports all Claude Code options.
Playwriter MCP
Lets AI agents control your Chrome browser via a lightweight extension using the full Playwright API with minimal context. Reliable browser
oh-my-claude-sisyphus
Claude Code plugin for native multi-agent
astronomer/agents
Open-source agent skills for data
PaperBanana
Agentic framework that automates publication-ready methodology diagrams and statistical plots directly from paper text, references, or rough sketches—optimized for scientific accuracy and visual consistency.
Dexter
Autonomous financial research agent that plans, executes, and validates analysis using real-time market data, with safety features like loop detection and step limits.
Pro Workflow
Battle-tested AI coding practices for Claude Code and Cursor to keep an effective 80/20 AI-to-review ratio using disciplined context management and intentional review rituals.
planning-with-files
Claude Code skill that turns long, complex tasks into a file-based workflow using persistent Markdown files. Stores plans, progress, and errors on disk to reduce goal drift and repeated mistakes across many tool calls or sessions.
CLAUDE_CODEX_SKILL
Workflow showing how to use the OpenAI Codex CLI for deep, non-interactive debugging via a file-based question-and-answer
Atomic Agents
Lightweight, modular framework for building AI agent pipelines emphasizing atomic, single-purpose components that are reusable, composable, and predictable (built on Instructor and Pydantic).
Gas Town
Orchestration system for managing multiple Claude Code instances simultaneously. Coordinates parallel tasks, tracks work across agent instances, manages merge queues, and keeps persistent agent identities (tmux-based workflow).
Courses
Courses and learning tracks
LLM Course by Maxime Labonne
Large language model course. From basics to RAG, agents, and fine-tuning.
dlt Fundamentals
Course from dlthub on building robust ELT pipelines. Includes a holiday lesson (Dec 22) on integrating LLMs into your workflow, with 50 swag packs to compete for.
FreeCodeCamp Course
Learn how to build modern, scalable data pipelines using Python and AI-assisted tools. This hands-on tutorial starts from the basics of data ingestion and takes you all the way to advanced techniques in data loading, transformation, deployment, and automation. By freeCodeCamp, featuring Alexey Grigoriev and Adrian Brudaru.
AI Agents Email Crash-Course (Cohort Edition)
Free cohort-based version running December and January. Complete the project and review three other submissions to receive a certificate of completion signed by Alexey.
Agentic AI Crash Course
A free introductory crash course on agentic AI that explains how modern AI agents work in practice, from tools and RAG to memory, planning, MCP, and multi-agent systems. Designed as a clear, realistic starting point focused on real-world system design and limitations rather than hype.
Assignments for
Programming assignments for
Data Engineering Zoomcamp
New cohort starts on January 12, 2026. A free 9-week course on building production-ready data
LLM Fine-Tuning roadmap
Curated resource for
Claude Code and Large-Context Reasoning
Materials from Tim Warner's O'Reilly Live Learning
You Could've Invented OpenClaw
Tutorial by Nader Dabit for building a persistent AI assistant from scratch (starting with a Telegram bot + Anthropic API) and iteratively adding sessions, memory, tool use, and scheduled tasks.
CS336: Language Modeling from Scratch
Implementation-heavy Stanford course that walks through building a language model end to
Other
Datasets, APIs, and more
Awesome ML
Curated list of ML resources. Frameworks, papers, and tools.
AGENTS.md
Open standard for AI coding
Claude Use Cases
Curated library of real-world Claude use cases across research, writing, coding, analysis, and everyday work. Organized by role, industry, and feature with concrete, end-to-end examples.
AI Engineering Hub
Large open-source GitHub
awesome-slash
Curated list of tools, patterns, and projects built around slash-command interfaces. Practical reference for command-driven workflows, bots, and developer tools.
500+ AI Agent Projects
Curated collection of AI agent use cases across healthcare, finance, education, retail, and more. Maps practical applications to open-source implementations and frameworks (CrewAI, AutoGen, Agno, LangGraph). Hands-on inspiration hub for builders and practitioners.
Materials from my talk, \"A Day of an AI Engineer\"
Practical resource that combines a live webinar recording with the full planned write-up and a demo project. It also compares the AI Engineer role to traditional data team roles and maps modern AI projects to CRISP-DM.
Locality Sensitive
In-depth tutorial from Pinecone's FAISS learning series that covers LSH (theory + Python implementation) for approximate nearest-neighbor search.