RepoGenesis benchmark shows top AI systems reach only 23.67% Pass@1 on full microservice repository generation despite up to 73.91% API coverage and 100% deployment success.
Repotransagent: Multi-agent llm framework for repository-aware code translation,
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ReCodeAgent uses a multi-agent system to translate and validate large code repositories across multiple programming languages, achieving 60.8% higher test pass rates than prior neuro-symbolic and agentic methods on 118 real-world projects.
PtrTrans builds a Pointer Knowledge Graph with points-to flows, struct abstractions, and Rust annotations to guide LLMs toward project-level C-to-Rust translations that cut unsafe code by 99.9% and raise functional correctness by 29.3%.
citing papers explorer
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RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository
RepoGenesis benchmark shows top AI systems reach only 23.67% Pass@1 on full microservice repository generation despite up to 73.91% API coverage and 100% deployment success.
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ReCodeAgent: A Multi-Agent Workflow for Language-agnostic Translation and Validation of Large-scale Repositories
ReCodeAgent uses a multi-agent system to translate and validate large code repositories across multiple programming languages, achieving 60.8% higher test pass rates than prior neuro-symbolic and agentic methods on 118 real-world projects.
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Project-Level C-to-Rust Translation via Pointer Knowledge Graphs
PtrTrans builds a Pointer Knowledge Graph with points-to flows, struct abstractions, and Rust annotations to guide LLMs toward project-level C-to-Rust translations that cut unsafe code by 99.9% and raise functional correctness by 29.3%.