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
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