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    Home » Blog » OpenAI Codex Agent Codes, Fixes Bugs, and Writes Tests for ‘Legitimate Tasks’

    OpenAI Codex Agent Codes, Fixes Bugs, and Writes Tests for ‘Legitimate Tasks’

    May 19, 2025Updated:May 19, 2025 Tech No Comments
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    Photo of OpenAI's CEO Sam Altman with the company's logo.
    CEO of OpenAI, Sam Altman. Creative Commons picture

    Codex, a new AI agent created by OpenAI, has been publicly released. It is intended to assist developers in writing and managing code more effectively. The agent can handle numerous programming tasks, from writing new features to fixing bugs and submitting take requests for evaluation, using Codex-1, a type of OpenAI’s o3 model specifically designed for application executive tasks.

    How Codex functions

    Codex is accessible via a straightforward toolbar within ChatGPT. Developers use prompts to assign tasks and choose” Code” ( to generate new code ) or” Ask” ( to get answers about their codebase ) as their choices. Each task is performed in a safe sky sandbox that comes preloaded with the company’s codebase.

    According to OpenAI, work conclusion typically takes between one and 30 hours, depending on complexity. When the task is completed, Codex records and cites every actions it took, including test results and switch outputs, so users can check what took place.

    Developers may use a folder called AGENTS to link Codex. to support the agent comprehend project structure, testing commands, and desired practices. md, which functions like a README. Although individual review is required before integrating AI-generated code, OpenAI claims that codex-1 also performs well even when custom instructions are not provided.

    Codex was trained to recognize and perfectly reject requests for malicious software while evidently distinguishing and supporting genuine endeavors, according to a statement from the business. Additionally, OpenAI updated its program documentation to represent updated safety standards and guidelines.

    Now impressed are the first customers.

    A few limited firms had first exposure to test Codex in real-world options before its public release. For example, Cisco has been looking into ways Codex may speed up product development across its goods lines.

    Another early reviewers include:

      Temporal, which uses Codex to compose testing and troubleshoot more quickly.

    • Superhuman, where solution managers you edit a small amount of code without using engineers.
    • Kodiak incorporates Codex to enhance its self-driving system.

    Who has access to Codex?

    People of ChatGPT Pro, Team, and Enterprise are now able to access Codex. People of Plus and Edu are” coming immediately,” according to OpenAI. The company plans to introduce price caps and pay-as-you-go prices in the upcoming weeks while primarily offering free usage.

    The API for engineers using the codex-mini-latest type has the following costs:

    • $ 1.50 per 1M input tokens
    • $ 6 per 1M output tokens
    • 75 % discount for prompt caching

    Codex also supports previewing tasks that require photo input for front-end tasks, as well as real-time task interruption. Delegating jobs to Codex may take more than working dynamically. Potential versions, according to the business, will have more interactive workflows, mid-task assistance, and deeper interfaces with tools like CI systems and problem trackers.

    Interacting with Codex officials will eventually match sequential collaboration with colleagues, according to OpenAI.

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