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AI Coding Agents Explained (With a Real Example)
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AI coding agents have moved past autocomplete: they can read an entire codebase, plan a multi-file change, write it, verify it, and ship it, mostly without step-by-step approval.
I wrote up how that actually looks day to day, since this exact site (devlearningtools.com) is built entirely through a terminal agent (Claude Code): request comes in as plain language, agent reads the existing code first, plans the change, writes it, verifies with a real build, then commits and confirms it's live.
Also compares Claude Code, Codex CLI, Gemini CLI, Cursor, Copilot, and Windsurf, plus a Common Mistakes section from real experience.
Full writeup: https://www.devlearningtools.com/blog/ai-coding-agents-explained
Curious what everyone else's actual workflow looks like.
Read original: https://dev.to/devlearningtools/ai-coding-agents-explained-with-a-real-example-12k2
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