Artificial intelligence (AI) currently presumes a leading place in the world of programming. More and more software developers resort to AI systems to write code, correct errors or automate repetitive tasks. Openai is betting again for this area with Codexhis new agent.
It is a prior view phase tool that acts as a virtual collaborator. Its engine is Codex-1, a variant of O3 adjusted to better understand the needs of modern development. Among their promises are to generate more orderly code, follow instructions with greater precision, among other advantages.
How does Codex work?
Codex is not a simple assistant that suggests fragments of code. It is a software agent that operates in the background from the cloud. Once connected to your account GITHUByou can access your repository, read files, propose changes and execute tasks such as writing new functions, correcting errors or throwing tests.
All this does it autonomously and safely, within an isolated environment (a kind of virtual cloud computer) that simulates your development environment. This should not only protect your system, but also allows Codex to execute tasks without affecting your local workflow. While he works, you can continue using your computer normally.
The interesting thing is that it does not execute a single action in turn: it can take care of several tasks at the same time. For example, you can ask you to check a part of the code or Look for mistakes In another section of the project. Each task is managed separately and Codex will inform their real -time progress, allowing the user to review them.
The tool is designed to adapt to the way of working of developers. In fact, it can be guided by specific files called agents.md, a kind of instruction manual that allows you to indicate what style follow, how to launch the tests or what practices should be respected within the project.
Although Codex has just launched in preview, it is not an unfilming experiment. Openai engineers themselves have been using it for months as part of their workflow. So that? For Automize repetitive tasksrename variables, write tests or outline documentation.
The system is also being tested in companies such as Cisco, where they seek to accelerate the development of new ideas, and in temporary, which uses it to purify errors, write automated tests and reorganize large code bases. OpenAi’s recommendation after this first round of tests is clear: assign well -defined tasks, launch several in parallel and experiment with different types of requests. Because the key is to find the exact point where the agent can display his full potential.
Codex works remotely, but does it within a controlled environment. As we said above, each task that executes takes place in an isolated virtual machine, without direct Internet connection or access to external services. It can only interact with the code that the user provides and with the tools that are pre -installed using a configuration script.
In addition, Openai ensures that he has trained Codex to identify and reject instructions oriented to the creation of harmful software, as tools for Hacking or malware. In any case, we must not lose sight of the fact that this proposal remains a product in research phase, with many aspects to improve.
And it is still a generative AI: you can make mistakes or misunderstand certain instructions if the context is not well defined. Openai plans to introduce gradual improvements, such as the possibility of interacting with the agent during tasks, receiving more detailed updates or integrating it with tools such as incident managers.
If you want to start trying Codex from today, you must keep in mind that it is not yet available for all users. For now, OpenAi has begun to deploy the tool Among the subscribers of the plans PRO (200 dollars per month)Enterprise and Team. According to the company, the users of the plans Plus and Edu will have “soon” access.
Images | OpenAI
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