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The Highest Loop — swyx
AI Engineer · 2026, AI engineering, agent loops, automation
AI directory search
Search across educators, skills, and resources.
Use this when you know the topic you need: Claude Code, MCP, evals, RAG, agents, product, coding, prompting, foundations, or model internals.
102 matches for "x"
Video matches
Watch first when you want a fast feel for the topic before opening courses, docs, or profiles.
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Your AI Isn’t the Problem. Your Infrastructure Is. — Jiachen Jiang, Coder
AI Engineer · 2026, coding agent security, sandboxing, least privilege
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How to Actually Tokenmaxx and Save Millions — Alvin Pane, OutRival
AI Engineer · 2026, prompt optimization, prompt caching, DSPy
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Why Learn Machine Learning When AI Can Do It All?
Machine Learning Pills · 2026, machine learning, model evaluation, data leakage
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How To Test AI Agents With Simulations
Hamel Husain · 2026, agent simulations, evals, production traces
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Trends in AI Engineering: Careers, Coding Agents & Evals | Hugo Bowne-Anderson & Alexey Grigorev
Alexey Grigorev · 2026, AI engineering careers, coding agents, evals
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2,000 AI Agents Rewrote a Coding Agent in Rust
Bitwise AI · 2026, Prime Agent, Rust, multi-agent coding
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The Lethal Trifecta Is Already on Your Laptops — Michael Patterson, Coder
AI Engineer · 2026, coding agent security, prompt injection, data exfiltration
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From 15% to 90% GPU Utilization: Fix the Data Pipeline, Not the Model
AI Engineer · 2026, multimodal training, GPU utilization, Ray
Educators
Josh Pigford
Initial Commit · Beginner to intermediate
Practical AI use for small businesses, product decisions, and repeatable operations.
Skills
Founder workflows, Product ops, Automation
Brian Casel
Builder Methods · Beginner to intermediate
Useful for turning AI experiments into repeatable internal workflows.
Skills
Founder workflows, Systems, Automation
Swyx
AI Engineer · Intermediate to advanced
A useful hub for the emerging AI engineering stack and practitioner talks.
Skills
AI engineering, Agents, Developer tools
Andrej Karpathy
Neural Networks: Zero to Hero · Intermediate
Excellent from-scratch explanations of neural networks and language models.
Skills
Neural networks, Backprop, LLM internals
Jason Liu
Instructor · Intermediate
Practical patterns for getting reliable structured data from LLMs.
Skills
Structured outputs, Extraction, RAG
Elvis Saravia
DAIR.AI Prompt Engineering Guide · Beginner to advanced
A broad prompt engineering guide with many concrete examples and patterns.
Skills
Prompting, RAG, Reasoning, Agents
Jay Alammar
The Illustrated Transformer · Beginner to intermediate
Still one of the clearest visual explanations of transformer concepts.
Skills
Transformers, Embeddings, LLM concepts
Latent Space
Latent Space · Intermediate to advanced
Good for staying current on how AI builders think about tools and models.
Skills
AI engineering, Industry context, Model ecosystem
Cohere For AI
Cohere For AI · Advanced
Useful for people who want research context and open science around language models.
Skills
NLP research, Open models, Multilingual AI
Jack Roberts
AI Automations by Jack · Beginner to intermediate
Business-first automation teaching for people who want support, templates, and examples while learning to build systems.
Skills
AI automation, Claude Code, Client workflows, AI services
Dean Graziosi
The AI Advantage · Beginner to intermediate
Useful for creators and coaches who want to use AI in content, offers, and day-to-day execution.
Skills
AI productivity, Creator businesses, Offers, Business workflows
Paul Caruana
AI Automation Mastermind · Beginner to intermediate
A small-business oriented community for learning AI and automation as operational leverage.
Skills
AI automation, Operations, Efficiency, Small business workflows
AI Operators Club
AI Operators Club · Beginner to intermediate
Community for people who want to leverage AI and build practical things that work in operating businesses.
Skills
AI operations, Claude, GoHighLevel, Automation, Business systems
Mesha Bazemore
AI Creator Academy by DCT · Beginner to intermediate
Explicitly non-tech AI training for everyday people who want creator, digital product, and income workflows.
Skills
AI creator skills, Digital products, AI art, Canva, Side hustles
Johnny Nel
The AI Founder's Vault+ · Beginner to intermediate
Explicitly built for non-technical founders and creators who want tools, templates, and systems for building with AI.
Skills
Plug-and-play AI, Founder tools, Templates, CRM workflows
The Clueless Aigency
Free AI Creator Academy · Beginner to intermediate
Free Skool community for creators and brands learning AI content, avatars, storytelling, ads, and creator economy workflows.
Skills
AI avatars, AI influencers, Creative strategy, Digital identities
Stock Image AI Prompt Lab
Stock Image AI Prompt Lab · Beginner to intermediate
Niche Skool group for learning commercial-ready AI stock image prompting and iteration.
Skills
AI image prompts, Stock images, Commercial creative workflows
The AI-Driven Business Summit
The AI-Driven Business Summit · Beginner to intermediate
Summit community focused on expert sessions, tools, and AI revenue systems for women business owners.
Skills
AI business, Skool growth, Community monetization, AI tools
The Stoa of AI
The Stoa of AI · Beginner to intermediate
Skool community explicitly for small business owners with no technical background who want to reduce costs and move faster with AI.
Skills
AI strategy, AI assistants, Business tools, Cost reduction
AI Content Creators
AI Content Creators · Beginner to intermediate
Creator community teaching prompts, tools, and tutorials for producing and monetizing AI content.
Skills
AI content, Images, Videos, Voice cloning, Monetization
Serge Gatari
Serge Gatari · Beginner to intermediate
Business-first AI agency education focused on selling and delivering AI services.
Skills
AI consulting, Agency systems, Sales, Automation
Riley Brown
Riley Brown · Beginner to intermediate
Popular AI creator focused on building real apps and experiments with accessible AI tools.
Skills
AI app building, No-code AI, AI tools, Rapid prototyping
Brett Malinowski
Brett Malinowski · Beginner to intermediate
Accessible AI tool and no-code build tutorials for people exploring AI-powered products and businesses.
Skills
AI tools, No-code apps, Automation, Business ideas
Practical AI content and personal-brand workflows for non-technical creators and operators.
Skills
AI content, Personal brand workflows, Writing with AI, Social growth
Providers and platforms
Hugging Face
Hugging Face Learn · Beginner to advanced
One of the best free ecosystems for learning open-source AI by building with models, datasets, spaces, agents, context engineering, and MCP workflows.
Topics
Agents, Context engineering, MCP, Transformers, Post-training, Open models
Anthropic
Anthropic Academy and Claude docs · Beginner to advanced
Official material for learning Anthropic's current Claude family, model tradeoffs, Claude Code, MCP, computer use, practical prompt workflows, and team model-governance workflows without relying on third-party summaries.
Topics
Claude models, Claude Code, MCP, Computer use, AI fluency, Frontier model selection, Model governance, Release notes
A fast, practical way to build vocabulary and intuition before going deeper into LLMs or AI engineering.
Topics
ML foundations, Classification, Embeddings, Neural networks
Weights & Biases
W&B Courses · Intermediate
Good for builders who need to measure, debug, and improve LLM apps rather than just demo them.
Topics
LLM apps, Evals, Experiment tracking, MLOps
OpenAI
OpenAI docs, Academy, and Cookbook · Beginner to advanced
Official model and implementation material for learning GPT-6 Astra and cost-sensitive GPT-5.6 choices, Codex workflows, subagents, memories, agent evals, MCP and connector patterns, retrieval, background jobs, prompt engineering, production best practices, model optimization, structured outputs, and OpenAI's Academy learning path.
Topics
GPT-6 Astra, GPT models, Reasoning models, Model selection, Agents, Subagents, RAG, Structured outputs, MCP, Evals, Memories
Kaggle
Kaggle Learn · Beginner
Useful for people who need the data and ML basics before working seriously with AI tools.
Topics
Python, Machine learning, Data preparation, Computer vision
3Blue1Brown
Neural Networks series · Beginner to intermediate
High-quality visual intuition for neural networks and transformers before or alongside coding-heavy courses.
Topics
Neural networks, Transformers, Mathematical intuition
AssemblyAI
AssemblyAI YouTube · Beginner to intermediate
Practical developer tutorials and clear overviews of current AI engineering topics.
Topics
Speech AI, LLMs, Agents, ML concepts
Useful for debugging and evaluating LLM applications once you move beyond prototypes.
Topics
Observability, Evals, Tracing, RAG debugging
Mirascope
Mirascope Learn · Intermediate
Useful for Python developers who want clean abstractions around prompts, tools, and model calls.
Topics
LLM app architecture, Prompt engineering, Tool calling
Promptfoo
Promptfoo Docs · Intermediate
Very practical for regression testing prompts, model changes, and LLM outputs.
Topics
Prompt testing, Evals, Red teaming
Google Cloud Skills Boost
Google Cloud AI learning paths · Beginner to advanced
Hands-on labs for people building AI systems on Google Cloud and Vertex AI.
Topics
Cloud AI, Vertex AI, Generative AI, MLOps
Microsoft Learn
Microsoft Learn AI · Beginner to advanced
Useful for Azure AI services, Copilot extensibility, and Microsoft-focused AI app development.
Topics
Azure AI, Agents, Copilot, Cloud AI
freeCodeCamp
freeCodeCamp AI and machine learning courses · Beginner to intermediate
Large library of practical tutorials for developers who prefer project-based learning.
Topics
Python, Machine learning, LLM apps, Coding with AI
Codecademy
Codecademy AI courses · Beginner
Good for beginners who want guided coding exercises while learning AI concepts.
Topics
AI foundations, Python, Prompting, LLM apps
edX AI
edX artificial intelligence courses · Beginner to advanced
Useful for more academic AI courses and professional certificate programs.
Topics
AI foundations, Machine learning, Robotics, Ethics
Khan Academy
AI for Education · Beginner
Useful for seeing AI applied to teaching, tutoring, and student support.
Topics
AI literacy, Education, Tutoring workflows
Zapier
Zapier AI automation guides · Beginner to intermediate
Practical no-code automation examples for people wiring AI into daily operations.
Topics
Automation, AI workflows, No-code tools
Runway
Runway Academy · Beginner to intermediate
Practical education for people learning generative video and AI creative workflows.
Topics
Generative video, Creative AI, AI media workflows
ComfyUI
ComfyUI examples · Intermediate
Useful for understanding node-based generative image workflows and reproducible pipelines.
Topics
Image generation, Workflow graphs, Stable Diffusion
Stability AI
Stability AI docs · Beginner to intermediate
Developer-focused material for using Stable Diffusion and Stability APIs.
Topics
Image generation, API workflows, Creative AI
Replicate
Replicate docs and examples · Beginner to intermediate
Fast route to test many hosted AI models without managing infrastructure.
Topics
Model APIs, Prototyping, Image generation, LLM apps
Modal
Modal examples · Intermediate
Useful for learning how to run AI workloads, inference jobs, and GPU tasks in production-like environments.
Topics
Deployment, GPU workloads, AI engineering, Batch jobs
Qdrant
Qdrant Learning Center · Beginner to intermediate
Good for vector search concepts and practical retrieval implementation.
Topics
Vector search, RAG, Embeddings, Search
Agent tools and skill directories
Agent harness
OpenClaw
OpenClaw · Open-source agent harness
Use this when you want an agent runtime you can shape with local skills, plugins, and workspace-level behavior.
Start
Start with the docs, install the minimum useful setup, then add one skill only after you understand its file access and commands.
Self-improving agent
Hermes Agent
Nous Research · Open-source agent
Use this when persistent memory, skill creation from completed tasks, and remote agent operation matter more than a simple chat UI.
Start
Read the README, run it in a contained environment, and test one recurring workflow before trusting broader memory.
AI assistant builder
Lindy
Lindy · AI executive assistant
Use this when the job is business admin across apps rather than custom coding or local agent infrastructure.
Start
Build one assistant for a narrow workflow such as meeting follow-up, scheduling, or inbox triage with human approval.
Learning paths
AI foundations
Everyone
Learn first
- What LLMs can and cannot do
- Tokens, context windows, hallucinations
- Privacy and data handling
Open next
Prompting and writing
Writers, operators, PMs, founders
Learn first
- Clear task framing
- Examples and constraints
- Editing, synthesis, and critique loops
Good matches
Open next
AI product work
PMs, designers, founders
Learn first
- AI UX patterns
- Use-case selection
- Prototyping
- Measuring quality
Good matches
Open next
Context engineering and MCP
Developers using coding agents and tool-connected workflows
Learn first
- How to structure instructions, memories, and skills
- When to use MCP servers versus retrieval or file search
- Subagents, hooks, and tool boundaries
- How to keep agent context small, relevant, and testable
Good matches
Open next
RAG and knowledge systems
Developers building AI apps
Learn first
- Chunking and retrieval
- Structured extraction
- Reranking
- Grounded answers
Good matches
Open next
Frontier models and model selection
Builders choosing between Claude, GPT, Gemini, Llama, Mistral, Cohere, DeepSeek, Qwen, Grok, Perplexity, and hosted open models
Learn first
- When to use Claude or GPT-class reasoning models for complex coding, analysis, and long-horizon agent work
- How Gemini, Llama, Mistral, Cohere, DeepSeek, Qwen, Grok, and Perplexity differ by modality, openness, retrieval, coding, and price
- Context windows, output limits, latency, pricing, tool support, and eval-based routing
- How to migrate safely when frontier model versions change
Good matches
Open next
Resources
OpenAI Cookbook
GitHub repo · OpenAI · Beginner to advanced
You need implementation examples rather than theory.
api, examples, rag, agents
Prompt Engineering Guide
Guide · DAIR.AI · Beginner to advanced
You want examples of prompting techniques and patterns.
prompting, rag, reasoning, agents
AI SDK v6 Crash Course
Workshop · Matt Pocock · Intermediate
You want a structured AI SDK v6 course that covers model choice, text and object generation, UI streams, agents, persistence, context engineering, evals, and advanced app patterns.
ai sdk, llm apps, agents, streaming, evals
LLM Fundamentals
Free tutorial · Matt Pocock · Beginner
You need clear mental models for system prompts, tokens, context windows, tools, and agents before building or using AI systems seriously.
llm fundamentals, tokens, context windows, tools, agents
Model Context Protocol Tutorial
Free tutorial · Matt Pocock · Intermediate
You want to understand MCP and build TypeScript MCP servers over stdio or HTTP, connect Claude Code to tools, use MCP prompts, and package servers for distribution.
mcp, typescript, claude code, tool calling, agents
AI Coding Dictionary
Dictionary · Matt Pocock · Beginner to intermediate
You want plain-English definitions for agentic coding concepts such as context windows, tools, MCP, handoffs, skills, subagents, feedback loops, and agent-ready work.
ai coding, agent vocabulary, context engineering, claude skills
A Complete Guide To AGENTS.md
Guide · Matt Pocock · Intermediate
You want to write project instructions that help coding agents understand commands, conventions, architecture, and working boundaries.
agents.md, context engineering, ai coding, agentic workflows
Real-world feature build with Claude Code: every step explained
Walkthrough · Matt Pocock · Intermediate
You want to see a real feature built with Claude Code from context gathering through implementation, verification, and iteration.
claude code, ai coding, agentic workflows, feature development
handoff: Move Context Between Agent Sessions
Guide / Claude skill · Matt Pocock · Intermediate
You need to preserve useful context across agent sessions without dragging an overloaded conversation forward.
claude skills, handoffs, context engineering, agentic workflows
MCP: Build Rich-Context AI Apps with Anthropic
Short course · DeepLearning.AI · Intermediate
You want a hands-on MCP course for connecting tools, context, and Claude-powered apps.
mcp, anthropic, tool use, context engineering, agents
Hugging Face MCP Course
Free course · Hugging Face · Beginner to intermediate
You want a free structured MCP path with concepts, assignments, SDKs, and a certificate route.
mcp, model context protocol, agents, tools, integrations
Building Coding Agents with Tool Execution
Short course · DeepLearning.AI · Intermediate
You want to understand how coding agents use tools, inspect code, run commands, and iterate on software tasks.
coding agents, tool execution, developer tools, agents, ai coding
Perplexity Deep Research and Search API docs
API docs · Perplexity · Intermediate
You want to compare search, Sonar, Agent API, and cited research workflows from the primary source.
ai search, deep research, grounded answers, sonar, research workflows
Perplexity Deep Research Workflows
Cookbook · Perplexity · Intermediate
You want a current, implementation-focused Perplexity walkthrough for long-running deep-research jobs, async handling, and batch-style research flows.
deep research, agent api, async workflows, research workflows, grounded answers
Inspect AI
Model and agent evaluation harness · UK AI Security Institute · Intermediate to advanced
Rigorous, reproducible model and agent capability or safety evaluations involving tools, multi-turn interaction, coding, or sandboxed environments.
evals, llm evaluation, ai quality, open-source frameworks
Arize Phoenix
AI observability and evaluation platform · Arize AI · Intermediate to advanced
Teams that want evaluation connected to OpenTelemetry traces, datasets, experiments, prompt iterations, and production troubleshooting.
evals, llm evaluation, ai quality, evaluation platforms
Braintrust
AI evaluation and observability platform · Braintrust Data · Intermediate to advanced
Teams that want a feedback loop from production traces and failures into datasets, regression experiments, CI gates, and continuous scoring.
evals, llm evaluation, ai quality, evaluation platforms
LangSmith
Agent evaluation and observability platform · LangChain · Intermediate to advanced
Agent teams, especially LangChain and LangGraph users, that need tracing, datasets, experiments, human review, and production feedback in one system.
evals, llm evaluation, ai quality, evaluation platforms
Langfuse
Open-source evals and observability platform · ClickHouse · Intermediate to advanced
Teams prioritizing open-source data control and one workflow across tracing, prompts, datasets, experiments, annotation, and evaluation.
evals, llm evaluation, ai quality, evaluation platforms
W&B Weave
LLM and agent evaluation platform · Weights & Biases · Intermediate to advanced
Teams already using Weights & Biases or wanting versioned datasets, scorers, traces, and evaluation comparisons in an experiment-oriented workflow.
evals, llm evaluation, ai quality, evaluation platforms
Opik
Open-source agent evaluation platform · Comet · Intermediate to advanced
Teams wanting hosted or self-hosted observability with failure-driven regression suites, experiments, metrics, and human review.
evals, llm evaluation, ai quality, evaluation platforms
MLflow GenAI evaluation
Open-source GenAI evaluation and monitoring · MLflow Project · Intermediate to advanced
Teams extending an existing MLflow or MLOps stack to LLM and agent tracing, evaluation-driven development, human feedback, and monitoring.
evals, llm evaluation, ai quality, evaluation platforms
OpenAI Evals
Hosted LLM and agent evaluation API · OpenAI · Intermediate to advanced
Existing OpenAI API teams maintaining dataset-based prompt or model regression tests during the remaining service window.
evals, llm evaluation, ai quality, cloud and provider evals
Vertex AI Gen AI evaluation service
Managed model and agent evaluation service · Google Cloud · Intermediate to advanced
Vertex AI teams evaluating model outputs, prompts, RAG responses, function calls, and agent trajectories with managed or custom metrics.
evals, llm evaluation, ai quality, cloud and provider evals
Amazon Bedrock Evaluations
Managed model and RAG evaluation jobs · Amazon Web Services · Intermediate to advanced
AWS teams comparing Bedrock models or assessing knowledge bases and external RAG sources with automated metrics, LLM judges, or human reviewers.
evals, llm evaluation, ai quality, cloud and provider evals
Anthropic evaluation guide
Evaluation methodology guide · Anthropic · Intermediate to advanced
Teams designing task-specific evaluation suites for Claude applications that need criteria, datasets, edge cases, grading patterns, and code examples.
evals, llm evaluation, ai quality, cloud and provider evals
Harbor
Agent evaluation and optimization harness · Harbor Framework Team · Intermediate to advanced
Running coding and computer-use agents against reproducible, sandboxed task suites at local or cloud scale.
evals, llm evaluation, ai quality, benchmarks and learning resources
SWE-bench
Software-engineering agent benchmark · SWE-bench team · Intermediate to advanced
Measuring whether coding agents can resolve real GitHub issues by producing repository patches that pass executable tests.
evals, llm evaluation, ai quality, benchmarks and learning resources
Terminal-Bench
Terminal-agent benchmark · Harbor Framework and Laude Institute · Intermediate to advanced
Comparing agents on difficult, verifiable coding, systems, security, and scientific work inside sandboxed terminals.
evals, llm evaluation, ai quality, benchmarks and learning resources
LLM Evals: Everything You Need to Know
Application-evaluation learning resource · Hamel Husain and Shreya Shankar · Intermediate to advanced
Practitioners building product-specific evals from traces, domain-expert judgments, and observed failures instead of relying on generic benchmarks.
evals, llm evaluation, ai quality, benchmarks and learning resources
AI skills playbook: Build an AI-ready workforce
Workforce AI skills playbook · Google Cloud · Beginner
Use this five-step playbook to assess an organization's AI baseline, put AI into existing workflows, establish trust, offer flexible learning, and recognize progress. It also links to the Google courses and learning paths listed below.
ai skills, workforce training, ai adoption, change management, responsible ai
Generative AI Leader Certification
Certification learning path · Google Cloud · Beginner to intermediate
Use this five-course learning path to prepare leaders to explain generative AI, apply Google's AI tools to business innovation, and prepare for the Generative AI Leader certification.
generative ai leader, business transformation, gemini, ai agents, certification
GitHub Copilot computer use explained
Desktop agent safety guide · GitHub · Intermediate
GitHub released Copilot computer use in public preview on October 1, 2026. Use this guide to decide when visual desktop control is appropriate, enable it deliberately, and test its permission and stop controls before real work.
github copilot, computer use, desktop agents, copilot cli, gui automation
NVIDIA Kumo Tabular explained
Tabular foundation model explainer · NVIDIA · Intermediate to advanced
NVIDIA released Kumo Tabular on September 29, 2026. Use this guide to understand its in-context prediction workflow, reproduce a baseline, and test its vendor-reported results on your own tables.
kumo tabular, tabular foundation models, classification, regression, in-context learning
Claude Sonnet 5.5 explained
Model migration explainer · Anthropic · Intermediate to advanced
Anthropic released Claude Sonnet 5.5 on September 28, 2026. Use this guide to understand the efficiency claims, breaking API changes, and a safe migration test from Sonnet 5.
claude sonnet 5.5, claude code, coding agents, model migration, adaptive thinking
Ember-1 explained
Reasoning-efficient coding model explainer · Fireworks AI · Intermediate to advanced
Fireworks released Ember-1 on September 23, 2026 as a Kimi K3-based model trained to use fewer reasoning tokens. Use this explainer to evaluate the quality, cost, latency, and context-growth claims on your own agent workload.
ember-1, kimi k3, reasoning models, reasoning tokens, cost optimization