← Home

Quick answer

AI Summary: Proposes a neurosymbolic framework that translates natural language prompts into formal mathematical specifications, allowing for the automated verification of AI-generated code architectures.

Claim

From Vibe to Verification: Automated Synthesis of Formal Specifications from Agentic Prompts

Armando Solar-Lezama·
Sumit Gulwani·
Elena Rossi

ABSTRACT

The rapid adoption of natural language programming ('vibe coding') has democratized software creation but introduced unprecedented levels of technical debt and architectural instability. We propose a neurosymbolic framework that bridges the gap between informal natural language intent and rigorous software engineering. Our system automatically translates high-level agentic prompts into formal specifications (e.g., TLA+, Coq) and uses SMT solvers to mathematically verify the logical consistency of the generated architecture before code execution. This approach guarantees that 'vibe-coded' applications adhere to strict security and operational constraints, effectively bringing formal verification to the masses.

Review Snapshot

Explore ratings

4.2
★★★★
5 ratings
5 star
40%
4 star
40%
3 star
20%
2 star
0%
1 star
0%

Recommendation

80%

recommend this content.

Review this content

Share your opinion to help other learners triage faster.

Write a review

Invite a reviewer

Invite someone by email to share an invited review for From Vibe to Verification: Automated Synthesis of Formal Specifications from Agentic Prompts.

Author Inquiries

Public questions about this content. Attendemia will route your question to the author. Vote on the most important ones. No guarantee of response.
Post an inquiry
Sort by: Most helpful