---
title: "Discussion on \"Agentic AI Engineering in Practice: How AI Engineers and Forward-Deployed Engineers Build with Claude Code, Codex, and Gemini\" | Hashnode"
description: "Discussion on \"Agentic AI Engineering in Practice: How AI Engineers and Forward-Deployed Engineers Build with Claude Code, Codex, and Gemini\". A practical, three-tool guide to the AI-native software development life cycle (SDLC): Plan, Design, Build, Test, Deploy, Maintain, reimagined for agentic coding.\nIn March 2025, a small nonprofit rese"
url: "https://hashnode.com/posts/agentic-ai-engineering-in-practice-how-to-build-with-claude-code-codex-and-gemini/6a9aee151eb1bdc38db233af"
---

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# [Agentic AI Engineering in Practice: How AI Engineers and Forward-Deployed Engineers Build with Claude Code, Codex, and Gemini](https://freecodecamp.org/news/agentic-ai-engineering-in-practice-how-to-build-with-claude-code-codex-and-gemini?utm_source=hashnode&utm_medium=feed)

A practical, three-tool guide to the AI-native software development life cycle (SDLC): Plan, Design, Build, Test, Deploy, Maintain, reimagined for agentic coding. In March 2025, a small nonprofit rese

Sep 4 · 40 min read · freecodecamp.org  
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## Written by

[Rudrendu Paul](https://hashnode.com/@rudrendupaul)

@rudrendupaul · San Francisco, USA

  
[View profile](https://hashnode.com/@rudrendupaul)

AI, Ads & Marketing Data Science Leader | Gen AI | LLM | AI Agents | Applied AI/ML | Ads | Monetization

I am an Applied AI/ML and Marketing Measurement Science leader with 15+ years of building and scaling applied AI and machine learning products at Fortune 50 companies. I specialize in Causal Inference, Experimentation, Agentic AI systems, and enterprise AI strategy, applied to Retail Media Networks (RMN), Ads, Adtech, Martech, CPG, and E-Commerce. Published author with Springer Nature, Elsevier, ICML (Top 3 AI/ML Conference), and IEEE, and a regular contributor to leading AI/ML and analytics publications (views are my own)

## Responses 1

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[Brian · AI News](https://hashnode.com/@brianainews)

[Sep 23](https://hashnode.com/posts/agentic-ai-engineering-in-practice-how-to-build-with-claude-code-codex-and-gemini/6a9aee151eb1bdc38db233af/comment/6ab3ab12b2411f19b11c7dbb)

The Plan Design Build loop is where agents earn keep. Tool choice is secondary to a clear stop condition and a test that the agent cannot rewrite to look smart.