The article examines how LLMs perform poorly at writing formal specifications in languages like TLA+ and Alloy, despite initial optimism about AI as a 'specification force multiplier'. Using a real-world example, the author shows that AI-generated specs often contain fundamental errors like incorrect Boolean usage and missing imports. This highlights the gap between AI assistance and genuine expertise in formal methods.
Background
Formal methods like TLA+ and Alloy are mathematical approaches to software specification and verification. While powerful, they require significant expertise, leading to interest in using AI to lower the barrier to entry.
- Source
- Lobsters
- Published
- Mar 11, 2026 at 02:53 AM
- Score
- 6.0 / 10