Claude Opus 4.6 vs. GPT-5.3 Codex: How I shipped 93,000 lines of code in 5 days
How I AI
Feb 11
Claude Opus 4.6 vs. GPT-5.3 Codex: How I shipped 93,000 lines of code in 5 days
Claude Opus 4.6 vs. GPT-5.3 Codex: How I shipped 93,000 lines of code in 5 days

How I AI
Feb 11
Shownote
Shownote
I put the newest AI coding models from OpenAI and Anthropic head-to-head,
testing them on real engineering work I’m actually doing. I compare GPT-5.3
Codex with Opus 4.6 (and Opus 4.6 Fast) by asking them to redesign my marketing
website and refactor some genuinely gnarly components. Through side-by-side
experiments, I break down where each model shines—creative development versus
code review—and share how I’m thinking about combining them to build a more
effective AI engineering stack.
—
What you’ll learn:
1. The strengths and weaknesses of OpenAI’s Codex vs. Anthropic’s Opus for
different coding tasks
2. How I shipped 44 PRs containing 98 commits across 1,088 files in just five
days using these models
3. Why Codex excels at code review but struggles with creative, greenfield work
4. The surprising way Opus and Codex complement each other in a real-world
engineering workflow
5. How to use Git concepts like work trees to maximize productivity with AI
coding assistants
6. Why Opus 4.6 Fast might be worth the 6x price increase (but be careful with
your token budget)
—
Brought to you by:
WorkOS
[https://workos.com/?utm_source=lennys_howiai&utm_medium=podcast&utm_campaign=q22025]—Make
your app enterprise-ready today
—
Detailed workflow walkthroughs from this episode:
• How I AI: GPT-5.3 Codex vs. Claude Opus 4.6—Shipping 44 PRs in 5 Days:
https://www.chatprd.ai/how-i-ai/gpt-5-3-codex-vs-claude-opus-4-6
[https://www.chatprd.ai/how-i-ai/gpt-5-3-codex-vs-claude-opus-4-6]
• How to Combine Claude Opus and GPT-5.3 Codex for High-Velocity Code
Refactoring:
https://www.chatprd.ai/how-i-ai/workflows/how-to-combine-claude-opus-and-gpt-5-3-codex-for-high-velocity-code-refactoring
[https://www.chatprd.ai/how-i-ai/workflows/how-to-combine-claude-opus-and-gpt-5-3-codex-for-high-velocity-code-refactoring]
• How to Redesign a Marketing Website Using Claude Opus 4.6 for Creative
Development:
https://www.chatprd.ai/how-i-ai/workflows/how-to-redesign-a-marketing-website-using-claude-opus-4-6-for-creative-development
[https://www.chatprd.ai/how-i-ai/workflows/how-to-redesign-a-marketing-website-using-claude-opus-4-6-for-creative-development]
—
In this episode, we cover:
(00:00) Introduction to new AI coding models
(02:13) My test methodology for comparing models
(03:30) Codex’s unique features: Git primitives, skills, and automations
(09:05) Testing GPT-5.2 Codex on a website redesign task
(10:40) Challenges with Codex’s literal interpretation of prompts
(15:00) Comparing the before and after with Codex
(16:23) Testing Opus 4.6 on the same website redesign task
(20:56) Comparing the visual results of both models
(21:30) Real-world engineering impact: 44 PRs in five days
(23:03) Refactoring components with Opus 4.6
(24:30) Using Codex for code review and architectural analysis
(26:55) Cost considerations for Opus 4.6 Fast
(28:52) Conclusion
—
Tools referenced:
• OpenAI’s GPT-5.3 Codex: https://openai.com/index/introducing-gpt-5-3-codex/
[https://openai.com/index/introducing-gpt-5-3-codex/]
• Anthropic’s Claude Opus 4.6: https://www.anthropic.com/news/claude-opus-4-6
[https://www.anthropic.com/news/claude-opus-4-6]
• Cursor: https://cursor.sh/ [https://cursor.sh/]
• GitHub: https://github.com/ [https://github.com/]
—
Other references:
• Tailwind CSS: https://tailwindcss.com/ [https://tailwindcss.com/]
• Git: https://git-scm.com/ [https://git-scm.com/]
• Bugbot: https://cursor.com/bugbot [https://cursor.com/bugbot]
—
Where to find Claire Vo:
ChatPRD: https://www.chatprd.ai/ [https://www.chatprd.ai/]
Website: https://clairevo.com/ [https://clairevo.com/]
LinkedIn: https://www.linkedin.com/in/clairevo/
[https://www.linkedin.com/in/clairevo/]
X: https://x.com/clairevo [https://x.com/clairevo]
—
Production and marketing by https://penname.co/ [https://penname.co/]. For
inquiries about sponsoring the podcast, email jordan@penname.co.
Highlights
Highlights
In this episode, Claire Vo puts the latest AI coding models—OpenAI’s GPT-5.3 Codex and Anthropic’s Claude Opus 4.6 (including the faster variant)—to the test on real engineering tasks she’s actively shipping.
Chapters
Chapters
Introduction to new AI coding models
00:00My test methodology for comparing models
02:13Codex’s unique features: Git primitives, skills, and automations
03:30Testing GPT-5.2 Codex on a website redesign task
09:05Challenges with Codex’s literal interpretation of prompts
10:40Comparing the before and after with Codex
15:00Testing Opus 4.6 on the same website redesign task
16:23Comparing the visual results of both models
20:56Real-world engineering impact: 44 PRs in five days
21:30Refactoring components with Opus 4.6
23:03Using Codex for code review and architectural analysis
24:30Cost considerations for Opus 4.6 Fast
26:55Conclusion
28:52Transcript
Transcript
Claire Vo: Welcome back to How I AI. I'm Claire Vo, product leader and AI obsessive, here on a mission to help you build better with these new tools. Today, we're going to bring you up to date on all the new coding model releases from OpenAI and Anthropic....
