Codex vs Dev-GPT
Side-by-side comparison of two AI agent tools
Short answer
- Dev-GPT has had no commit in 39 months; Codex is actively maintained (3,826 commits in the last 90 days).
- Codex is growing faster: +9,462 GitHub stars in the last 30 days vs +-0 for Dev-GPT.
- Pick Codex for: lightweight coding agent that runs in your terminal. Pick Dev-GPT for: your Virtual Development Team.
From GitHub data refreshed daily.
Codexopen-source
Lightweight coding agent that runs in your terminal
Dev-GPTopen-source
Your Virtual Development Team
Metrics
| Codex | Dev-GPT | |
|---|---|---|
| Stars | 127.6k | 1.9k |
| Star velocity /mo | 9.5k | -0.31746031746031744 |
| Commits (90d) | 3.8k | 0 |
| Releases (6m) | 10 | 0 |
| Overall score | 0.9448060606075892 | 0.1306053811660771 |
Pros
- +Runs locally on your machine, providing better privacy and control over your code
- +Seamless integration with existing ChatGPT subscriptions without requiring separate API setup
- +Multiple deployment options including CLI, IDE extensions, desktop app, and web access
- +Multi-agent AI system with specialized roles (Product Manager, Developer, DevOps) provides comprehensive development coverage
- +Simple installation and CLI interface makes it accessible to developers of all skill levels
- +Cross-platform support and integration with popular APIs (OpenAI, Google) ensures broad compatibility
Cons
- -Requires ChatGPT Plus/Pro subscription or separate API key setup for full functionality
- -Limited documentation suggests the tool may still be in early development stages
- -Experimental version status indicates potential instability and incomplete features
- -Requires paid OpenAI API access, adding ongoing operational costs
- -Limited scope to microservice development only, not suitable for larger applications or different architectural patterns
Use Cases
- •Terminal-based coding assistance for developers who prefer command-line workflows
- •Local AI code generation and debugging while maintaining code privacy
- •Integrated development workflow across multiple environments (terminal, IDE, desktop)
- •Rapid prototyping of microservices for MVP development and proof-of-concept projects
- •Solo developers or small teams lacking expertise in specific areas (DevOps, architecture) who need full-stack automation
- •Learning and experimentation with microservice architecture patterns through AI-generated examples
FAQ
- Which is more popular, Codex or Dev-GPT?
- Codex has more GitHub stars (127,598 vs 1,866).
- Which is more actively developed, Codex or Dev-GPT?
- Codex had more commits in the last 90 days (3,826 vs 0).
- Should I use Codex or Dev-GPT?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.