LLM-Assisted Repository-Level Generation with Structured Spec-Driven Engineering
State-of-the-art Large Language Models (LLMs) excel in code generation at the function level. However, the output quality significantly declines when scaling to repository-level systems. Current workflows relying only on natural language prompts suffer from inherent ambiguity and a lack of verifiability. To address this, we propose structured spec-driven engineering (SSDE), a paradigm that leverages structured artifacts to guide LLM generation. We argue that structured specifications as LLM inputs make high-quality, repository-level code generation a tangible goal, while at the same time offering superior verifiability, leading to significant potential for improvement. We first investigat...
| Authors | Shuzhao Feng, Boqi Chen, Brett H Meyer et al. |
|---|---|
| Primary category | cs.SE |
| Published | 4 May 2026 |
| Last updated at source | 4 May 2026 |
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