Why Adopt
OpenAI’s Codex models power many of the AI coding tools in use today. Understanding this capability and having access to it through various interfaces is essential for modern AI-assisted development.
Where It Appears
- GitHub Copilot - Real-time code suggestions
- ChatGPT - Conversational code help
- API access - Build custom coding tools
- Third-party integrations - Powers many dev tools
My Usage Pattern
I access Codex capabilities through:
- Copilot for inline completions
- ChatGPT for quick questions and explanations
- API for automated workflows
Combined with Claude, this gives me multiple perspectives on code problems.
Compared to Claude
Different strengths:
- Codex/GPT: Better at broad language coverage, more training data
- Claude: Better at reasoning, following complex instructions
I use both—they complement rather than compete.
Integration Points
Currently using Codex-powered tools for:
- IDE autocomplete (Copilot)
- Quick code explanations
- Alternative implementations to compare with Claude’s suggestions
The Ecosystem Value
Having multiple AI code assistants prevents over-reliance on any single tool and provides:
- Cross-verification of suggestions
- Different approaches to the same problem
- Fallback when one tool struggles