Descriptions:
Host Claire Vo puts two of 2026’s newest AI coding models through a practical head-to-head evaluation: OpenAI’s GPT-5.3 Codex, delivered via the newly released Codex desktop app, and Anthropic’s Claude Opus 4.6 and Opus 4.6 Fast. Rather than running synthetic benchmarks, she tests both on a real, established codebase—the multi-page ChatPRD marketing website—with a consistent goal: redesign it to appeal to enterprise buyers without losing its product-led growth positioning.
The episode documents a recurring failure mode in Codex that Vo calls extreme literalism. When asked for a balanced enterprise-and-PLG design, the model generated explicit section headers for each audience segment rather than blending them into natural copy. Requests to add ‘more about integrations’ caused the model to rebuild the entire page around integrations. Vo describes a cycle of overfitting where each new prompt overwrote prior context rather than making targeted adjustments—something Claude Opus 4.6 handled more gracefully across multiple iterations. She also walks through Codex’s Git-native workflow features (branches, work trees, project management) for viewers newer to version control concepts.
The overall verdict is that both models represent a meaningful generational step—Vo reports shipping more code in the five days following these releases than in the prior month—but that they suit different working styles. Codex’s repository-centric UX appeals to developers comfortable thinking in Git primitives, while Claude Opus 4.6’s conversational steerability makes it better suited to iterative, nuanced creative and technical tasks.
📺 Source: How I AI · Published February 11, 2026
🏷️ Format: Comparison
