Codex workshop AI coding standards
Written AI coding standards get ignored the moment they live in a wiki nobody opens. Codex standards stick when they become repository instructions the model reads on every task: scoped task boundaries, required reviews, and verification evidence attached to each pull request. This guide shows the rollout that turns team policy into AI coding standards engineers actually follow.
Standards need to live in the workflow
Codex standards are useful only when engineers see them during real work. We turn policy into repository instructions, task boundaries, review requirements, and verification evidence that can be used in every Codex-assisted pull request.
What gets standardized
The workshop defines AGENTS.md guidance, allowed task categories, MCP and tool boundaries, code review expectations, test requirements, and escalation rules for architecture, security, and data-sensitive changes.
How rollout becomes measurable
Teams leave with a small adoption scorecard: reviewable diff rate, verification evidence, abandoned agent runs, recurring failure modes, and the workflows where Codex is ready for broader team usage.
Official references
Current product documentation we use when shaping this training topic.
Related training topics
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