Claude Code review training for engineering teams

AI assistants generate and critique work fast, but teams still need shared review standards before merging. This guide covers Claude Code review habits that keep changes small and inspectable: how to run effective PR review on AI-written diffs, when a security review is required, and how to use code critique without losing control. Every accepted change stays tied to passing tests and clear evidence.

Review is the adoption bottleneck

Claude Code can generate and critique work quickly, but teams still need a shared definition of acceptable evidence. The workshop focuses on review habits that keep AI-assisted changes small, inspectable, and tied to tests.

What the team practices

Participants run Claude Code review loops, compare implementation and critique prompts, inspect security-sensitive diffs, and define how reviewers should challenge generated code before merge.

What becomes standard

The output is a review playbook for PR checks, security review, test repair, failure reproduction, and escalation. Claude Code can help with critique, but ownership remains visible.

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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