AI coding expands, but engineers still own design and acceptance
What happened
Armando Picón argues that AI agents can take on more implementation work and help with analysis, design and testing, but engineers still decide what to build and which evidence counts as acceptance. He recommends small increments with explicit behavior and acceptance cases, durable decisions kept in reviewable project docs, and checks on the agent's understanding, code diffs, test assertions and actual UI behavior. The mobile search case is hypothetical, with no controlled study of productivity gains.
Written by AI from the coverage · updated 1 hour ago
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- Hacker News front pageAI Can Write More of the Code. We Still Have to Engineer the System
AI 智能体可以承担更多实现工作并辅助分析、设计和测试，工程师仍须决定构建什么，以及哪些证据足以支持验收。Armando Picón主张以小步增量明确行为与验收案例，把持久决策保存在可审查的项目文档中，并检查智能体理解、代码差异、测试断言和实际界面行为。文章提出的是工作主张，移动搜索案例为假设示例，未展示经过对照研究的生产率提升。
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