After AI coding becomes widespread, engineering leadership shifts toward judgment
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A Hacker News article argues that AI agents already handle most of the actual coding work at most companies, but the author believes the productivity gains are somewhat exaggerated. The article says that in 2027, the focus of engineering leadership will be honing intuition and learning to judge when and how to use AI most effectively. The author favors using AI for research and understanding problems rather than directly replacing coding. The suggestion is: first introduce AI into a working manual process, then gradually replace parts of it.
AI overview based on source reports · Updated 45 min ago
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- Hacker News AIHow AI will change engineering leadership in 2027
An engineering leader reflects on AI use cases—building products, research, adding AI features, and AI-native products—and argues 2027 will be about using existing models and tools better rather than building bigger ones. He advises prototyping instead of designing, avoiding "slop," and notes that bottlenecks like PR review are shifting, while quality engineering and human judgment still matter.
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