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.
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.
Related training topics
Bring this into your team
We tailor the training to your codebase, adoption stage, and review standards.
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