Codex is based on codex-1, which is a customised version of OpenAI’s o3 model and uses reinforcement learning to produce code that matches the requirements of the project. Lambda handles your code in its own isolated environment and can take up to 30 minutes to complete. Because Codex provides real-time updates and clear logs, it makes it easy for developers to check results, making it an ideal choice for modern coding tasks.

OpenAI has introduced Codex, an advanced AI agent for coding that helps speed up software development by handling several tasks at the same time. Initially, only users of ChatGPT Pro, Enterprise and Team accounts can use Codex, but Plus and Edu users will have access soon. Codex writes code, fixes errors, answers technical questions and makes GitHub pull requests, all protected by a cloud environment fitted to your codebase. This launch is important for AI-driven development, as it helps engineers work faster and concentrate on what is most important.

How Codex enhances development

Users can access Codex from the sidebar in ChatGPT, where they can assign tasks or ask about coding topics. Its capabilities include:

Task versatility: Develop new features, repair bugs, run tests or prepare documentation.

Smart navigation: Project-specific instructions are found in  files, which helps the tool act like a human developer.

Transparent output: Includes logs, test results and citations to make it easy to verify the work.

GitHub integration: Creates pull requests to help make code review easier.

The tasks are handled in separate environments that already have the user’s repository and support tools like linters and test harnesses. Developers can always keep up with the progress, as it is updated in real time, no matter how complex the tasks are.

Safety and Performance

Security: Runs in secure containers that are not connected to the internet.

Transparency: With logs and test outputs, you can see the results are accurate.

Ethical Safeguards: Educated to identify and turn away malicious code requests such as those for malware development but to support valid programming activities.

It performs very well in benchmarking, reaching up to 75% accuracy on SWE-Bench Verified tasks and 80% on OpenAI’s internal tests, without the need for special setup. The model’s skill in creating clean code that is easy to review makes it different from others.

Pricing and availability

Codex is free for Pro, Enterprise and Team users during its early access phase, and later there will be usage limits and different pricing available. It costs at least $1.50 for each million input tokens and $6 for each million output tokens, though there are discounts for those who use the same prompt repeatedly. OpenAI aims to make Plus and Edu available to more people in the near future.

Real-world impact

Early users like Cisco, Temporal and Superhuman are making use of Codex to speed up feature development, enhance test coverage and reorganise their code. It helps engineers save time on repetitive activities, giving them more space to think creatively. Context-switching is reduced by Codex, which lets teams complete their work faster and concentrate on one task at a time, introducing a new age of AI support to software engineering.

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