AI learning guide

Best AI resources for coding agents

Learn how Codex, Claude Code, Grok Build, and related tools fit real software engineering workflows.

Best course for agent mechanics: Building Coding Agents with Tool Execution. DeepLearning.AI short course taught by Tereza Tizkova and Francesco Zuppichini. Start here to understand how coding agents inspect files, call tools, run commands, and iterate.

Best real-codebase workflow: Claude Code: A Highly Agentic Coding Assistant. DeepLearning.AI course taught by Elie Schoppik. Use it to learn planning, editing, testing, and review inside an existing repo.

Best current Codex operations guide: Codex best practices. Official OpenAI guide for scoping work, AGENTS.md, checks, and review habits. Use it before relying on a coding agent for real repo changes.

Coding agents are software workflows

A coding agent is useful when it can inspect a repo, plan a scoped change, edit files, run commands, read failures, and leave a reviewable diff. The best resources teach that loop explicitly.

Start with Building Coding Agents with Tool Execution for mechanics, then use Claude Code and Codex best practices for real workflow behavior. Matt Pocock's agent-ready codebase material and Hugging Face's Context Course become useful once you want better results inside an existing repo.

Learn review habits alongside tools

Developers still own correctness. A good coding-agent resource should teach task scoping, context gathering, tests, diff review, preservation of unrelated changes, and when to stop the agent.

Avoid resources that only generate a new app from a blank prompt. Real codebases have conventions, failing setup, migrations, data constraints, and product judgement.

Recommended courses and resources

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.
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.
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.
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.
My Skill Makes Claude Code GREAT At TDD

Guide / Claude skill · Matt Pocock · Intermediate

You want an agent workflow that implements behavior with a red, green, refactor loop instead of jumping straight to broad code changes.

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About this guide

Author: Learnetto Editorial Team. Learnetto maintains this AI learning directory by organizing public course pages, official documentation, educator material, and practical learning resources.

How it is made: Learnetto uses public course pages, official documentation, educator material, and directory data to compile these recommendations. AI may help draft and organize the page, but recommendations are checked against the listed sources, page topic, and learner intent.

Review policy: We only add a named personal reviewer when that person has substantially reviewed the page. Until then, the page is attributed to Learnetto rather than a founder, editor, or individual expert.

Last updated: September 26, 2026. Suggest a correction if a course, doc, or recommendation is outdated.

Videos to watch

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Code with Claude London 2026: Opening Keynote

Claude

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The Agentic Engineer Workflow You Need In 2026

Zen van Riel

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How to Build for AI Agents and a Claude Code Second Brain in 25 Min | Ryan Wiggins

Peter Yang

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Claude Code: Build Your First AI Agent

Teacher's Tech

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Claude Code beginner's tutorial

Peter Yang

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Agents for everything else

AI Engineer

Educators and sources

Educator / source	Best for	Skills	Start with
Swyx AI Engineer	Developers, AI engineers	AI engineering, Agents, Developer tools	Watch AI Engineer talks for production patterns and tool choices.
Matt Pocock AI Hero	Developers and self-directed learners building with AI coding agents	AI coding, Claude Skills, Agentic workflows, AI SDK, MCP, LLM fundamentals, Personalized learning	Use LLM Fundamentals or the AI Engineer Roadmap if you need concepts, the Vercel AI SDK Tutorial or AI SDK v6 Crash Course if you want to build apps, and the AI Skills catalog if you want practical agent workflows like /teach, /grill-me, /tdd, and /triage.
Jack Roberts AI Automations by Jack	Automation builders, agency owners, freelancers	AI automation, Claude Code, Client workflows, AI services	Start with the free AI Automation Vault, then only move to the paid community when you know the workflows you want to build.
Pietro Montaldo Pietro's AI Substack	Non-technical operators, creators, business builders	Claude Skills, Claude Code, AI workflows, Business automation	Start with the Claude Skills and non-technical Claude Code guides, then install or adapt one workflow skill for a real business task.
Claude Code and Tech Foundations for Product Managers Practical Tech for PMs on Maven	Product managers, product leaders, non-technical PMs	Claude Code, Technical foundations, AI product work, PM workflows	Take the foundations modules first, then use Claude Code on one PM artifact or prototype you already need.
Agentic AI Product Management Certification Mahesh Yadav on Maven	Product managers, product owners, non-technical AI professionals	Agentic AI, Product management, Claude Code, AI product workflows	Use the course to build one agentic PM workflow, such as requirements discovery, prototype planning, or launch analysis.
AI Coding for Product Managers Rajesh P on Maven	Product managers, founders, non-engineering product builders	Claude Code, AI prototyping, Product shipping, PM workflows	Choose one product idea or internal tool and use Claude Code to build a prototype with clear acceptance criteria.
Cole Medin Cole Medin AI agents and local AI	Developers, automation builders, AI learners who want practical workflows	AI agents, RAG, Local AI, n8n, Claude Code	Start with Cole's practical agent or local AI walkthroughs, then rebuild one workflow end to end instead of watching tool overviews back to back.
Sean Grove OpenAI and AI engineering talks	AI engineers and product builders	AI engineering, Developer tools, Agents, Structured data	Watch talks on AI-native interfaces and structured workflows.

Resources

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.

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.

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.

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.

My Skill Makes Claude Code GREAT At TDD

Guide / Claude skill · Matt Pocock · Intermediate

You want an agent workflow that implements behavior with a red, green, refactor loop instead of jumping straight to broad code changes.

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.

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.

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.

Grok 4.7 explained

Frontier coding model launch explainer · SpaceXAI · Intermediate to advanced

SpaceXAI released Grok 4.7 on September 21, 2026 for coding, agentic tasks, and knowledge work. Use this guide to compare its task reliability and total cost with your current model.

Union Alpha revealed as Pareto 26.9

Multi-model routing launch explainer · Unbiased · Intermediate to advanced

Union Alpha was revealed as Unbiased's Pareto 26.9 on September 17, 2026: a hosted system that routes work across several models and returns one checked answer.

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.

Introducing the Agents API

Managed agent API launch and guide · OpenAI · Intermediate to advanced

You want OpenAI's September 10, 2026 launch guide for building long-running cloud agents with the managed Codex harness, context compaction, tool search, multi-agent delegation, and your choice of hosted or self-managed sandbox.

Claude Fable 5.1 and Claude Mythos 5.1

Model launch and safety guide · Anthropic · Advanced

You want Anthropic's September 1, 2026 model announcement covering Fable 5.1 for general availability and Mythos 5.1 for trusted-access research use.

Qwen Code September 10 weekly update

Coding agent workflow release notes · Qwen · Intermediate to advanced

You want Qwen Code's September 10, 2026 update on workflow run history, agent and token observability, context-usage inspection, combining Plan with YOLO mode, and named parallel channel tasks in isolated workspaces.

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.

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.