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Artificial intelligence

Codex

We work with a programming assistant to implement, verify and improve real projects.

THE ROLE IN THE PROJECT

What we build with Codex.

With Codex we learn to describe a clear change, provide context and evaluate the result in code and interface. AI speeds up work, and verification remains part of the process.

How we implement it.

  1. 01

    We define the requirement

    We describe the issue, relevant files, and acceptance criteria. We specify change limits and keep the project under version control.

  2. 02

    We implement in small steps

    We ask for bounded changes and inspect the differences. We keep keys and sensitive information out of the prompts and repository.

  3. 03

    We check the result

    We run appropriate checks, inspect the interface and correct errors before publication. We learn to read the explanations and the generated code.

Example of a practical result

A functionality implemented in a web project with the changes reviewed and the behavior verified.

APPLIED LEARNING / 1 TO 1 ZOOM

Work on your project.

We discuss how you can use it Codex for your objective and what you need to deepen.

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