HCAG: Hierarchical Abstraction and Retrieval-Augmented Generation on Theoretical Repositories with LLMs
arXiv 2603.20299•cf3a10075c8d061f64354fe1ed705621a6a4d978dcb3a09129adaba4abcd0325
ABPRAI-native softwareContractSkillDataOpsKubeflow PipelinesLLM agentsModel Context Protocol (MCP)agent interfacesagent safetyalgorithmic debuggingcode generationexecutable tool affordancehierarchical abstractionintent clarificationinvocable capabilitiesneuro-symbolic debuggingprocedural refinementrepository-level generationretrieval-augmented generation (RAG)safety evaluationsemantic tool discoveryskill contracts and repairability','self-healing test automationtool selectiontool synthesisvector retrieval
Paper metadata
- arXiv ID
- 2603.20299
- Version
- Not specified by this published record
- Category
- Computer Science — Software Engineering (cs.SE)
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Evidence and limitations
- Source ID
- arxiv_cs_se
- Record identifier
- cf3a10075c8d061f64354fe1ed705621a6a4d978dcb3a09129adaba4abcd0325
- Enrichment time
- 2026-03-24T08:51:56Z
- AI-assisted enrichment
- Yes
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