If You Code With AI, You Need to Use OpenAI Codex

Summary

Josh Kale and Ejaaz Ahamadeen compare OpenAI Codex and Anthropic Claude for AI coding, demonstrating features and demos. They declare Codex as the current winner due to superior long-horizon autonomy, computer use, and image generation, though Claude still wins on personality and mobile access. The hosts also discuss the rise of AI model harnesses like Cursor and recommend 'vanilla maxing' with native tools.

• OpenAI Codex is favored over Claude Code for AI coding tasks due to speed and autonomy.
• Codex features like auto-review, Chronicle, and in-app browser improve user experience.
• Claude retains advantages in personality, UI warmth, and mobile access via Dispatch.
• The AI model harness (e.g., Cursor) can make base models smarter, creating a new product category.
• Vanilla maxing using native AI tools is recommended over third-party plugins.
• Claude Mythos is rumored to be stronger than GPT 5.5 but is not yet publicly available.
• Both hosts use a mix of models: GPT 5.5 for research and execution, Opus 4.7 for writing and orchestration.
• Competition between AI labs benefits users with rapid feature releases and low cost.