ProjAgent: Procedural Similarity Retrieval for Repository-Level Code Generation

Source

• Source name: arXiv
• Source kind: paper
• Authors / organization: QiHong Chen, Aaron Imani, Iftekhar Ahmed
• Venue: arXiv: cs.SE
• Published: 2026-07-09
• Collected: 2026-07-10
• URL: http://arxiv.org/abs/2607.08691v1
• PDF: https://arxiv.org/pdf/2607.08691v1
• DOI: UNKNOWN

Plain-Language Brief

ProjAgent is a new system for generating code at the repository level. It introduces a method called 'procedural similarity' to retrieve relevant functions from the repository, even if those functions have different identifiers or are used in different domains. ProjAgent outperformed existing methods on a benchmark dataset called REPOCOD.

What the Document Says

• ProjAgent is a system for code generation at the repository level.
• It introduces procedural similarity as an explicit retrieval signal.
• ProjAgent decomposes the target function into intermediate steps and retrieves functions that exhibit similar procedural behavior.
• It integrates the retrieved procedural context with conventional semantic retrieval for a richer repository context.
• ProjAgent includes a conservative static-analysis feedback loop for code repair using compiler and static-analysis feedback.
• Evaluation on REPOCOD shows ProjAgent achieved 41.14% Pass@1, outperforming existing retrieval-based baselines.

Key Concepts Mentioned

• ProjAgent
• Repository-level code generation
• Procedural similarity
• Intermediate reasoning steps
• Retrieved procedural context
• Conventional semantic retrieval
• Static-analysis feedback loop

Claims Made by the Document

• ProjAgent is effective for repository-level code generation.
• Procedural similarity is an effective and previously unexplored retrieval dimension.

Evidence Used

• Achieved 41.14% Pass@1 on REPOCOD

Methods / Approach

• Decomposition of the target function into intermediate steps, agentic workflow for retrieval, integration of procedural and conventional semantic retrieval, conservative static-analysis feedback loop

Limitations Stated by the Authors

Not stated in source

Limitations Noted by the Agent

Agent interpretation — not from the source.

The study does not discuss potential limitations of ProjAgent beyond what is mentioned by the authors.

Open Questions

• What are the potential drawbacks or limitations of using ProjAgent for repository-level code generation?
• How generalizable are the results on REPOCOD to other datasets or real-world scenarios?

Notes for Future Q&A

May include interpretation. Labeled where it does.

The study does not discuss potential limitations of ProjAgent beyond what is mentioned by the authors. It would be beneficial to investigate potential issues and limitations when using ProjAgent for code generation.

Raw Abstract / Excerpt

Repository-level code generation requires implementing target functions while accounting for complex cross-file dependencies and project-specific conventions. Existing retrieval methods predominantly rely on lexical, structural, or semantic similarity, often overlooking repository functions that implement similar procedural logic despite differing in identifiers or application domains. We propose ProjAgent, a repository-level code generation system that introduces procedural similarity as an explicit retrieval signal. ProjAgent decomposes the target function into intermediate reasoning steps and employs an agentic workflow to retrieve repository functions that exhibit similar procedural behavior at each step. The retrieved procedural context is integrated with conventional semantic retrieval to construct a richer repository context for code generation. ProjAgent further incorporates a conservative static-analysis feedback loop that iteratively repairs generated code using compiler and static-analysis feedback. Evaluated on REPOCOD, ProjAgent achieves 41.14% Pass@1, outperforming existing retrieval-based baselines. These results demonstrate that procedural similarity is an effective and previously unexplored retrieval dimension for repository-level code generation.