arXiv (All)
open access
ShikumiMiner: Mining Recurring Implementation Patterns in AI Codebases
Large language models are paving the way towards innovation by understanding, analyzing, summarizing and generating content in the modern world. Currently there are thousands of LLM projects developed by engineers in open-source repositories. However, whether these LLM projects have underlying patte
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- ShikumiMiner: Mining Recurring Implementation Patterns in AI Codebases#920684
- A Survey on Large Language Models for Code Generation#1135850
- Harness Engineering in LLM Tool Use via Agent-Native Reusable Tool Primitives#822166
- FeatLens: Feature-Guided Dynamic Code Graph Construction and Retrieval for Repository-Level Code Generation#1062371
- FeatLens: Feature-Guided Dynamic Code Graph Construction and Retrieval for Repository-Level Code Generation#1043143
Record · ID 924918
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive