Story
AI doesn't generate working products, that's still your job
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1 discussion
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Overview
Software development has become highly accessible, allowing users to describe ideas in plain English and receive a working prototype within minutes. These prototypes feature user interfaces, database connections, and functionality as envisioned, although they may not perform reliably under heavy load.
Summary from weeraman.com.
Reports
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Community reactions
Each reaction summarizes sampled comments from the linked discussion.
Hacker News · weeraman.com
Hacker News discussion ↗
Historical count: 5 · 5 saved in sample · Historical sample
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Read this discussion’s reaction
Based on 5 sampled comments from this thread. Analyzed 2026-08-01.
- Praise: Some commenters find that AI assistance helps them build cool stuff faster, even if it complicates the codebase.
- Praise: The idea of using LLMs for automated vulnerability discovery is exciting, with one user noting it led to more bugs being solved than ever before.
- Praise: The potential for AI to enhance productivity and expand capabilities in future generations of developers is seen as a positive direction.
- Concern: Multiple users express frustration with LLM-generated code, claiming it leads to degraded and messy codebases despite initial appearances of quality.
- Concern: Commenters highlight the limitations of AI, noting it often doesn't understand good design and just makes changes until it achieves its objectives, resulting in poor outcomes.
- Concern: Skepticism looms over the lack of significant new products or improvements stemming from AI in the past couple of years, with fears that the technology still isn't ready for prime time.