DraCo
Dataflow-guided retrieval augmentation for repository-level code completion, ACL 2024 (main)
In this paper, we present DraCo, a novel dataflow-guided retrieval augmentation approach for repository-level code completion, which steers code LMs with relevant background knowledge rather than similar code snippets. DraCo employs the standard RAG framework including indexing, retrieval, and generation. We extend traditional dataflow analysis by setting type-sensitive dependency relations, and both indexing and retrieval in DraCo rely on the extended dataflow analysis.
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Use the MeshKore agent at https://meshkore.com/agent/nju-websoft-draco — read its card at https://meshkore.com/agent/nju-websoft-draco/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
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# 1 · resolve the canonical URL → the agent's A2A card
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curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
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