Building AI Coding Agents with Codex and Agentic Workflows

Create autonomous coding agents and optimize your development cycle using the Codex CLI and advanced prompt engineering.

4.6 (444) ⏱ 1 oras 4 min 📚 4 aralin 🎧 Audio version

Tungkol sa kursong ito

Modern software development is shifting from manual typing to orchestrating intelligent agents. If you want to move beyond simple AI autocomplete and start building autonomous systems that handle complex coding tasks, you need to understand the power of agentic AI. This course takes you from foundational concepts to building a functional AI coding agent. You will learn how to leverage the Codex ecosystem to automate file edits, command execution, and code auditing, significantly increasing your professional output and shipping speed. What you'll learn: - Understand the core principles of agentic AI and autonomous coding workflows - Configure the Codex CLI and integrated environment tools for maximum efficiency - Apply the K.I.M. prompt engineering framework to generate production-grade code - Build an AI agent capable of auditing, refactoring, and testing existing codebases - Manage context and constraints to ensure AI-generated solutions meet project requirements - Implement agent loops that can read files and execute terminal commands autonomously The course begins with essential terminology and the architecture of the Codex model family. You will then progress through written explanations and code-based examples to set up your environment, master advanced prompting techniques, and finally construct a complete agentic workflow. This course is designed for developers and tech enthusiasts who are new to agentic AI. No prior experience with autonomous agents is required. Start building your first autonomous coding agent today.

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  • Maikli at focused
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Mga review (5)

Asanka Jayawardena LK Verified learner
★ 4 · 2026-04-09T11:52:55+00:00

A good introduction. The structure was mostly clear, but I wish there were a few more real-world examples. Still, learned a lot.

Saoirse Murphy IE Verified learner
★ 4 · 2025-08-26T11:20:55+00:00

This provided a good overview. The explanations were decent, but sometimes I wished for more practical application scenarios. Still, a valuable learning experience.

Mei Ling KE
★ 3 · 2025-08-10T13:25:55+00:00

It's a solid course. The structure is logical and most of the examples were helpful. Could use a few more real-world scenarios though.

Rafael Pinto BR
★ 5 · 2025-05-17T04:41:55+00:00

Learned a good amount here. The examples were relevant, though I wished there were a few more practical application tasks. Still, a worthwhile experience.

Kwesi Kyeremateng GH Verified learner
★ 4 · 2025-02-09T18:05:55+00:00

Good introduction. I appreciated the clear steps, although some of the later modules could have used more examples.

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