AI Accelerates Code Generation but Exposes Review Bottlenecks

Description and use

AI speeds up code generation, yet review and acceptance remain bottlenecks, necessitating thorough checks and focus on high-risk areas.

Problem

AI can produce code quickly, yet the verification, integration, and rework stages still consume significant time, causing review queues to build up.

Outcome

AI shortens coding time, but the review process remains a bottleneck; teams must focus on high-risk areas to maintain quality.

Workflow

• 1. AI generates code based on specifications
• 2. Developers review interaction logic and completeness
• 3. Verify consistency across modules
• 4. Test error handling and edge cases
• 5. Check for regressions against existing functionality
• 6. Approve or request changes

Evidence

AI 可以快速交出一个看起来已经完成的结果，但我们仍然需要逐项检查：交互逻辑是否合理，功能是否完整，不同模块的行为是否一致，异常情况是否得到处理，以及这次改动有没有破坏原有功能。

Source

当 AI 完成任务的速度超过团队验收任务的速度，工单就会堆积在审查环节。

Source

AI 可以帮助发现漏洞、寻找反例、检查遗漏，也可以承担一部分初筛工作。

Source