Companies Reconsider Use of LLM-Generated Code

The backlash is less about rejecting AI outright than recognizing that code-generation speed can overwhelm engineering judgment and review capacity.

• –One startup is considering rewriting core functionality manually to restore simplicity and control.
• –Developers report using AI for commoditized UI and boilerplate while hand-writing complex or foundational code.
• –GitLab’s research found that AI has shifted the bottleneck from coding to reviewing, validating, and governing code.
• –The likely endpoint is selective automation: AI for acceleration, humans for architecture, accountability, and critical logic.
• –Companies rarely return fully to old workflows; they tighten scope when the downstream maintenance bill exceeds the productivity gains.