1
Open Codex from a supported OpenAI surface and connect or select the repository you want it to work on. Give the agent a task with acceptance criteria, relevant constraints, and the tests or checks that define completion. For larger work, split responsibilities across parallel tasks rather than asking one agent to make unrelated changes at once. Review the resulting diff, test output, and any security-sensitive behavior before merging. Teams can add Skills or project instructions to make recurring work follow established engineering practices.
2
For a first evaluation, keep the scope small enough that you can compare the AI-assisted result with a known baseline. Record the configuration, model or workflow choices that produced the result so successful tests can be reproduced. If the product connects to external systems or private data, grant the minimum permissions required and review the provider's current security and data-handling documentation before expanding access.