The author compiles recent research on LLMs in software development, concluding that truly autonomous long-horizon agentic development remains unrealistic. Key limitations include effective context sizes far smaller than advertised, unreliable compression mechanisms, and attention dilution where model priors outweigh provided context.
Background
The article synthesizes peer-reviewed studies, industry reports, and statistical physics perspectives on LLM limitations in coding tasks, reflecting ongoing debate about AI's practical capabilities in software development.
- Source
- Lobsters
- Published
- Aug 17, 2026 at 08:08 AM
- Score
- 5.0 / 10