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Repo0 framework enables AI to build entire software projects from requirements

Researchers have introduced Repo0, a novel framework designed for zero-to-all code generation, enabling AI agents to construct entire software projects from natural-language requirements. This system maintains an explicit architectural state using a Dual-Directed-Acyclic-Graph (Dual-DAG) to manage component boundaries and guide test-driven development. Evaluations using GPT-5 mini and DeepSeek V3.2 on real-world repositories demonstrated Repo0's superior performance in functionality coverage and pass rates compared to existing baselines. AI

IMPACT This framework could significantly advance the capabilities of AI agents in complex software development tasks.

RANK_REASON This is a research paper detailing a new framework for code generation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Repo0 framework enables AI to build entire software projects from requirements

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Silin Chen, Haoyi Teng, Xiaodong Gu, Yuling Shi, Jiale Huang, Yongpan Wang, Hongyu Zhang, Haibing Guan ·

    Repo0: Design-Driven Zero-to-All Code Generation

    arXiv:2608.19854v1 Announce Type: cross Abstract: Large language model agents have made substantial progress in code generation, yet most existing systems assume a predefined repository architecture. This assumption does not hold in zero-to-all code generation, where an agent mus…