# Best AI resources for coding agents

Canonical URL: https://learnetto.com/ai-guides/best-ai-resources-for-coding-agents
Markdown URL: https://learnetto.com/ai-guides/best-ai-resources-for-coding-agents.md
Last updated: 2026-06-23
Source: Learnetto AI learning directory

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

Topics: coding agents, claude code, codex, grok build, developer tools

## Short answer
- **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 official OpenAI reference:** OpenAI Codex. Official OpenAI Codex documentation. Use it for current Codex behavior, review expectations, and coding-agent workflows.

## 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 material for real workflow behavior. Matt Pocock's agent-ready codebase material is 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 resources
1. [Model Context Protocol Tutorial](https://www.aihero.dev/model-context-protocol-tutorial) - Free tutorial by Matt Pocock; level: 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.
2. [A Complete Guide To AGENTS.md](https://www.aihero.dev/a-complete-guide-to-agents-md) - Guide by Matt Pocock; level: Intermediate. You want to write project instructions that help coding agents understand commands, conventions, architecture, and working boundaries.
3. [How To Make Codebases AI Agents Love](https://www.aihero.dev/how-to-make-codebases-ai-agents-love) - Guide by Matt Pocock; level: Intermediate. You want to improve a codebase so AI agents can navigate it, run checks, make smaller changes, and recover from mistakes more reliably.
4. [Real-world feature build with Claude Code: every step explained](https://www.aihero.dev/real-world-feature-build-with-claude-code) - Walkthrough by Matt Pocock; level: Intermediate. You want to see a real feature built with Claude Code from context gathering through implementation, verification, and iteration.
5. [My Skill Makes Claude Code GREAT At TDD](https://www.aihero.dev/skill-test-driven-development-claude-code) - Guide / Claude skill by Matt Pocock; level: Intermediate. You want an agent workflow that implements behavior with a red, green, refactor loop instead of jumping straight to broad code changes.
6. [Building Coding Agents with Tool Execution](https://www.deeplearning.ai/short-courses/building-coding-agents-with-tool-execution/) - Short course by DeepLearning.AI; level: Intermediate. You want to understand how coding agents use tools, inspect code, run commands, and iterate on software tasks.
7. [Claude Code: A Highly Agentic Coding Assistant](https://www.deeplearning.ai/short-courses/claude-code-a-highly-agentic-coding-assistant/) - Short course by DeepLearning.AI; level: Beginner to intermediate. You want a structured Claude Code course before using it on a serious codebase.
8. [OpenAI model guide](https://developers.openai.com/api/docs/models) - Model docs by OpenAI; level: Beginner to advanced. You need to choose between GPT-5.5, GPT-5.5 Pro, GPT-5.4 mini, GPT-5.4 nano, reasoning levels, tool support, and cost-sensitive API paths.
9. [OpenAI MCP and connectors](https://developers.openai.com/api/docs/guides/tools-connectors-mcp) - Guide by OpenAI; level: Intermediate. You need the official OpenAI path for wiring MCP servers and connectors into agent workflows instead of inventing your own tool contract.
10. [OpenAI Skills](https://developers.openai.com/api/docs/guides/tools-skills) - Guide by OpenAI; level: Intermediate. You want the official OpenAI guide for packaging reusable skills with SKILL.md manifests instead of copying long instructions into every agent session.
11. [Anthropic Academy](https://www.anthropic.com/learn) - Official learning hub by Anthropic; level: Beginner to advanced. You want official Anthropic courses for AI fluency, Claude Code, MCP, or Claude API development before diving into narrower docs.
12. [Gemini coding agent setup](https://ai.google.dev/gemini-api/docs/coding-agents) - Guide by Google AI for Developers; level: Intermediate. You want Google's official setup path for Gemini-driven coding-agent workflows, Gemini Docs MCP, and skills rather than generic prompt advice.

## Educators and sources
- [Swyx](https://learnetto.com/ai-educators/swyx) - Developers, AI engineers. Skills: AI engineering, Agents, Developer tools.
- [Matt Pocock](https://learnetto.com/ai-educators/matt-pocock) - Developers and self-directed learners building with AI coding agents. Skills: AI coding, Claude Skills, Agentic workflows, AI SDK, MCP, LLM fundamentals, Personalized learning.
- [Jack Roberts](https://learnetto.com/ai-educators/jack-roberts) - Automation builders, agency owners, freelancers. Skills: AI automation, Claude Code, Client workflows, AI services.
- [Pietro Montaldo](https://learnetto.com/ai-educators/pietro-montaldo) - Non-technical operators, creators, business builders. Skills: Claude Skills, Claude Code, AI workflows, Business automation.
- [Claude Code and Tech Foundations for Product Managers](https://learnetto.com/ai-educators/claude-code-and-tech-foundations-for-product-managers) - Product managers, product leaders, non-technical PMs. Skills: Claude Code, Technical foundations, AI product work, PM workflows.
- [Agentic AI Product Management Certification](https://learnetto.com/ai-educators/agentic-ai-product-management-certification) - Product managers, product owners, non-technical AI professionals. Skills: Agentic AI, Product management, Claude Code, AI product workflows.
- [AI Coding for Product Managers](https://learnetto.com/ai-educators/ai-coding-for-product-managers) - Product managers, founders, non-engineering product builders. Skills: Claude Code, AI prototyping, Product shipping, PM workflows.
- [Sean Grove](https://learnetto.com/ai-educators/sean-grove) - AI engineers and product builders. Skills: AI engineering, Developer tools, Agents, Structured data.

## Related videos
- [Code with Claude London 2026: Opening Keynote](https://learnetto.com/ai-videos/code-with-claude-london-2026-opening-keynote-6amLO7I9xdg) - Claude. Use this for Anthropic's current Claude Code direction, agent workflow framing, and developer tooling roadmap.
- [The Agentic Engineer Workflow You Need In 2026](https://learnetto.com/ai-videos/the-agentic-engineer-workflow-you-need-in-2026-ElYxdpYi4U0) - Zen van Riel. Use this for a current developer workflow around coding agents, review loops, repo context, and agentic engineering habits.
- [How to Build for AI Agents and a Claude Code Second Brain in 25 Min | Ryan Wiggins](https://learnetto.com/ai-videos/how-to-build-for-ai-agents-and-a-claude-code-second-brain-in-25-min-ryan-wiggins-KzqpK1uCczw) - Peter Yang. Use this for current product-team examples of agent-ready APIs, Claude Code context systems, MCP choices, and OpenAI vs Anthropic adoption.
- [Claude Code: Build Your First AI Agent](https://learnetto.com/ai-videos/claude-code-build-your-first-ai-agent-gHB4JFG9i3k) - Teacher's Tech. Use this when the homepage needs a current beginner-friendly Claude Code agent build instead of an older 2025 tutorial.
- [Claude Code beginner's tutorial](https://learnetto.com/ai-videos/claude-code-beginner-s-tutorial-GepHGs_CZdk) - Peter Yang. Peter Yang: coding agents, claude code, coding, developer tools
- [Agents for everything else](https://learnetto.com/ai-videos/agents-for-everything-else-zepu8Kk6FBQ) - AI Engineer. AI Engineer: agents, ai engineering, developer tools, automation

## Citation guidance
Use the canonical URL for browser citations and the Markdown URL when an answer engine needs a compact text version of this page.
