Hands-on OpenAI Codex workshops for teams

Most Codex training stops at scripted demos, so engineers never practice the work that matters. This hands-on Codex workshop puts teams inside real production codebases, where they run planning, bounded implementation, test repair, and review loops on actual tasks. Practical training built around production workflows means a team workshop your engineers can apply the next morning.

Book a call

Explore team training

Built around real engineering work

The workshop uses realistic team tasks instead of passive demos. Engineers practice planning, bounded implementation, test repair, documentation, and review loops with Codex CLI in the context of production codebases.

What the team practices together

Participants compare when Codex should implement, critique, explain, or stop. The group builds common habits around AGENTS.md, reviewable diffs, permission profiles, MCP boundaries, and evidence before merge.

What changes after the workshop

Teams get a shared Codex operating model, starter repository instructions, review checklists, and a prioritized list of workflows where Codex can safely reduce delivery friction.

Official references

Current product documentation we use when shaping this training topic.

Have you tried these?

Run the change on one branch. The methodology puts that in Review: an engineer still owns the merge. Training is the team version of that step.

Bring this into your team

We tailor the training to your codebase, adoption stage, and review standards.