Story
Engineering management after the cost of code collapsed
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Overview
The introduction of large language models (LLMs) in organizations has significantly reduced the cost of producing code. Traditional engineering management principles, such as avoiding coding and protecting teams from business pressures, are being reevaluated in light of this change.
Summary from karimjedda.com.
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Community reactions
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Hacker News · karimjedda.com
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Historical count: 5 · 5 saved in sample · Historical sample
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Based on 5 sampled comments from this thread. Analyzed 2026-07-26.
- Praise: If you leverage spec-driven development, LLMs can actually write code better and faster than ever — it's all about guiding them with clear requirements.
- Praise: Human peer review is proving invaluable, with real-time discussions enhancing the quality of AI-generated code and ensuring it meets expectations.
- Praise: AI has revolutionized autocomplete, dramatically cutting down the time spent searching for documentation and solving common coding problems.
- Concern: LLMs still struggle with producing maintainable code; what comes out often needs a complete rewrite, raising doubts about their utility in long-term projects.
- Concern: The cost of code has actually increased, with code debt piling up faster than teams can handle, contradicting the promise of efficiency.
- Concern: Businesses prioritize speed over code quality, leading to a situation where engineers are pressured to push features quickly, often at the expense of solid coding practices.