Story
I Remain a Skeptic
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Overview
There are concerns regarding the efficacy of large language models (LLMs) for building non-trivial software. Issues such as environmental impact, social and political implications, ecosystem lock-in, and the potential erosion of labor bargaining power contribute to skepticism about their use.
Summary from blog.jsbarretto.com.
Reports
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blog.jsbarretto.com
I Remain a Skeptic
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Community reactions
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Hacker News · blog.jsbarretto.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 2026-08-16.
- Praise: Apple, Mozilla, and Firefox have released a record number of bug fixes thanks to AI, proving that software quality has indeed improved.
- Praise: Many users report getting more done, faster, thanks to LLMs, showcasing their undeniable benefits when used judiciously.
- Praise: Some commenters find LLMs invaluable as debugging aids, accelerating programming tasks and enhancing productivity in tangible ways.
- Concern: Skeptics argue that the industry has little to show for four years of AI development, questioning the actual improvements in software quality.
- Concern: There's a pervasive sentiment that claims of massive productivity gains from LLMs are exaggerated, with many users not seeing observable benefits.
- Concern: Concerns arise about the potential for LLMs to create more bugs than they fix, raising doubts about their overall effectiveness.