Search across educators, skills, and resources.

Learn first

• Trigger-based workflows
• Tool calling
• Agent failure modes
• Human review points

Good matches

Josh Pigford Brian Casel Swyx Craig Hewitt

Open next

• Craig Hewitt YouTube: 100 Days of AI
• Multi AI Agent Systems with crewAI
• OpenAI Codex Record & Replay
• OpenAI Codex hooks

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

Simon Willison Matt Pocock Matthew Berman Mervin Praison

Open next

• OpenAI Cookbook
• AI Skills for Real Engineers
• AI SDK v6 Crash Course
• LLM Fundamentals

OpenAI Cookbook

GitHub repo · OpenAI · Beginner to advanced

You need implementation examples rather than theory.

api, examples, rag, agents

Microsoft AI Agents for Beginners

GitHub repo · Microsoft · Beginner to intermediate

You want a structured agent learning path with code.

agents, workshops, beginner

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

Vercel AI SDK Tutorial

Free tutorial · Matt Pocock · Beginner to intermediate

You want to build TypeScript LLM apps with Vercel's AI SDK, including streaming, structured outputs, model switching, embeddings, tool calls, and agents.

ai sdk, typescript, streaming, structured outputs, tool calling

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

How To Make Codebases AI Agents Love

Guide · Matt Pocock · Intermediate

You want to improve a codebase so AI agents can navigate it, run checks, make smaller changes, and recover from mistakes more reliably.

ai coding, agentic workflows, codebase architecture, developer tools

Essential AI Coding Feedback Loops For TypeScript Projects

Guide · Matt Pocock · Intermediate

You want TypeScript checks, tests, linters, and review loops that help agents produce better code and catch regressions quickly.

ai coding, typescript, testing, feedback loops

AI Agents in LangGraph

Short course · DeepLearning.AI · Intermediate

You want a focused course on building stateful AI agents and agent workflows with LangGraph.

agents, langgraph, tool use, agentic workflows, ai engineering

Multi AI Agent Systems with crewAI

Short course · DeepLearning.AI · Beginner to intermediate

You want a practical introduction to role-based multi-agent systems and task orchestration.

agents, multi-agent workflows, crewai, automation

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

Evaluating AI Agents

Short course · DeepLearning.AI · Intermediate

You need to test, trace, and improve agent workflows instead of judging only single LLM responses.

agent evals, evals, agents, reliability, tracing

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

Claude Code: A Highly Agentic Coding Assistant

Short course · DeepLearning.AI · Beginner to intermediate

You want a structured Claude Code course before using it on a serious codebase.

claude code, coding agents, developer tools, ai coding, anthropic

LangChain for LLM Application Development

Short course · DeepLearning.AI · Beginner to intermediate

You want a fast introduction to building LLM applications with chains, retrieval, and tools.

llm apps, langchain, agents, rag, ai engineering

The Anatomy of Harness Engineering

Coding agent evaluation guide · Google Developers Blog · Intermediate to advanced

You want Google's September 9, 2026 guide to evaluating coding agents with small behavioral checks, outcome-based assertions, and batch runs that catch regressions without treating a single benchmark score as the whole story.

coding agents, evals, behavioral evaluations, regression testing, harness engineering

GPT-Live-1 in the API

Voice agent model launch · OpenAI · Intermediate

You want OpenAI's September 10, 2026 launch of GPT-Live-1 in the API for full-duplex voice agents, including its $0.05-per-minute front-end pricing and guidance on pairing it with a backend model and agent harness.

openai, voice agents, realtime, api, model selection

OpenAI Data agent in ChatGPT Work

Data agent product guide · OpenAI · Intermediate

You want OpenAI's September 10, 2026 overview of the Data agent in ChatGPT Work, which connects company data, investigates changes, and produces interactive dashboards through a conversational workflow.

openai, data agents, analytics, enterprise, agent workflows

Qwen Code v0.23.3 release

Coding agent release notes · Qwen · Intermediate to advanced

You want Qwen Code's September 10, 2026 release details for expanded Kimi, Qwen, and DeepSeek reasoning presets, OpenAI Responses API support, newest-first model discovery, delegation to external agents over ACP, and bounded self-review before review-fix commits.

qwen code, coding agents, reasoning presets, responses api, acp

Modernizing complex legacy code with AI agents

Agent migration case study · Mistral AI · Intermediate to advanced

You want Mistral's September 9, 2026 field report on migrating 40,000 lines of Fortran 77 to C++, including a parity harness built before migration, agent-generated documentation, planner-coder-tester-reviewer workflows, and the human checkpoints needed for maintainable results.

mistral, coding agents, legacy modernization, parity testing, agent workflows

Muse Spark 1.3

Model launch and selection guide · Meta AI · Intermediate

You are comparing frontier models for long-horizon coding or knowledge work and need Meta's September 2, 2026 release notes on Muse Spark 1.3's tool use, instruction following, user steering, multitasking, model self-awareness, and availability through Muse Code and Meta Model API.

meta, muse spark 1.3, frontier models, coding agents, long-horizon agents

Agentic models, measured on the injections that move money

Open security benchmark · Hugging Face Community · Intermediate to advanced

You want a reproducible September 5, 2026 benchmark for comparing how agentic models handle indirect prompt injection, with public data, a public harness, control runs, tool-call traces, and outcome metrics tied to unauthorized payment actions.

agents, prompt injection, agent security, evals, tool use

How GitHub makes AI coding more cost efficient

Coding agent evaluation guide · GitHub · Intermediate to advanced

You want GitHub's September 2, 2026 evidence for measuring coding-agent efficiency across the whole task, including selective output compression, preserving useful context, benchmark regressions, and controlled production experiments.

github copilot, coding agents, context engineering, evals, cost optimization

Research acceleration: The view inside OpenAI

Research report · OpenAI · Intermediate

You want OpenAI's September 6, 2026 evidence and measurement framework for how coding agents are changing research workflows, including task delegation, parallel agent use, capability tracking, and the limits of interpreting productivity signals.

openai, codex, research agents, automated research, agent adoption

Project HydraFusion

Model orchestration research preview · GitHub · Intermediate to advanced

You want GitHub's September 4, 2026 technical explanation of runtime model orchestration for coding tasks, including plan decomposition, draft-critique-revise patterns, model cascading, evaluation design, and quality-versus-cost tradeoffs.

github copilot, model orchestration, model selection, coding agents, evals

Spec-Driven Development with Coding Agents

Short course · DeepLearning.AI · Beginner

You want a concise, hands-on course for replacing vague vibe-coding prompts with project constitutions, feature specs, plan-implement-verify loops, legacy-code workflows, and a portable custom agent skill.

coding agents, spec-driven development, agent skills, planning, verification

Anthropic ant apply

Agent infrastructure guide · Anthropic · Intermediate to advanced

You want Anthropic's September 3, 2026 workflow for declaring agents, environments, skills, memory stores, and scheduled deployments in a repository, previewing changes, and applying them reproducibly in CI.

anthropic, ant cli, managed agents, infrastructure as code, skills

Designing the hf CLI for agents

Agent tooling and evaluation guide · Hugging Face · Intermediate

You want a measured guide to agent-friendly CLI design, including structured output, retry-safe commands, independent grading, and benchmarks showing where higher-level tools reduce calls and token use.

hugging face, coding agents, hf cli, evals, codex

Give Your Coding Agents a Memory You Own

Open-source guide and repo · Hugging Face · Intermediate

You want a September 3, 2026 walkthrough of funes, an open-source local memory layer that indexes agent traces, preserves provenance, and lets Claude Code, Codex, pi, and Hermes recall decisions across sessions and machines.

hugging face, coding agents, agent memory, codex, claude code

OpenAI mid-turn steering

API guide · OpenAI · Intermediate to advanced

You are building a GPT-6 Astra workflow where users need to add requirements or redirect a running response over the Responses API without waiting for the current turn to finish.

openai, gpt-6 astra, responses api, mid-turn steering, websocket

OpenAI Codex hooks

Coding agent guide · OpenAI · Intermediate to advanced

You need lifecycle hooks that run scripts or MCP tools around Codex sessions, prompts, tool calls, compaction, subagents, permissions, validation, logging, or persistent-memory workflows.

openai, codex, hooks, mcp, automation

OpenAI Site tools with WebMCP

Web agent guide · OpenAI · Intermediate

You want a website to expose predefined actions directly to ChatGPT Work or Codex in the built-in browser, using the same live page and signed-in session as the user.

openai, webmcp, site tools, browser agents, codex