Lore: Repurposing Git Commit Messages as a Structured Knowledge Protocol for AI Coding Agents
Fuente:
arXiv
Saved in:
| Main Author: | Stetsenko, Ivan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Impact of Large Language Models on Open-source Innovation: Evidence from GitHub Copilot
by: Yeverechyahu, Doron, et al.
Published: (2024)
by: Yeverechyahu, Doron, et al.
Published: (2024)
Automated Code Review Using Large Language Models at Ericsson: An Experience Report
by: Ramesh, Shweta, et al.
Published: (2025)
by: Ramesh, Shweta, et al.
Published: (2025)
Agentic Refactoring: An Empirical Study of AI Coding Agents
by: Horikawa, Kosei, et al.
Published: (2025)
by: Horikawa, Kosei, et al.
Published: (2025)
Beyond Greenfield: The D3 Framework for AI-Driven Productivity in Brownfield Engineering
by: Sharma, Krishna Kumaar
Published: (2025)
by: Sharma, Krishna Kumaar
Published: (2025)
Learning Software Bug Reports: A Systematic Literature Review
by: Long, Guoming, et al.
Published: (2025)
by: Long, Guoming, et al.
Published: (2025)
Human-Aligned Enhancement of Programming Answers with LLMs Guided by User Feedback
by: Bappon, Suborno Deb, et al.
Published: (2026)
by: Bappon, Suborno Deb, et al.
Published: (2026)
Lost in Translation? Converting RegExes for Log Parsing into Dynatrace Pattern Language
by: Fragner, Julian, et al.
Published: (2025)
by: Fragner, Julian, et al.
Published: (2025)
When Retrieval Hurts Code Completion: A Diagnostic Study of Stale Repository Context
by: Weng, Haojun, et al.
Published: (2026)
by: Weng, Haojun, et al.
Published: (2026)
Choosing the Right Git Workflow: A Comparative Analysis of Trunk-based vs. Branch-based Approaches
by: Lopes, Pedro, et al.
Published: (2025)
by: Lopes, Pedro, et al.
Published: (2025)
Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models
by: Zhao, Junda, et al.
Published: (2025)
by: Zhao, Junda, et al.
Published: (2025)
Distilling Desired Comments for Enhanced Code Review with Large Language Models
by: Yu, Yongda, et al.
Published: (2024)
by: Yu, Yongda, et al.
Published: (2024)
Reliability of AI Bots Footprints in GitHub Actions CI/CD Workflows
by: Shah, Syed Muhammad Ashhar, et al.
Published: (2026)
by: Shah, Syed Muhammad Ashhar, et al.
Published: (2026)
AgentOps: Enabling Observability of LLM Agents
by: Dong, Liming, et al.
Published: (2024)
by: Dong, Liming, et al.
Published: (2024)
Evaluation of large language models for assessing code maintainability
by: Dillmann, Marc, et al.
Published: (2024)
by: Dillmann, Marc, et al.
Published: (2024)
Prompt Engineering Strategies for LLM-based Qualitative Coding of Psychological Safety in Software Engineering Communities: A Controlled Empirical Study
by: Alshaikh, Moaath, et al.
Published: (2026)
by: Alshaikh, Moaath, et al.
Published: (2026)
Fine-Tuning LLMs to Analyze Multiple Dimensions of Code Review: A Maximum Entropy Regulated Long Chain-of-Thought Approach
by: Yu, Yongda, et al.
Published: (2025)
by: Yu, Yongda, et al.
Published: (2025)
Knowledge-Guided Multi-Agent Framework for Automated Requirements Development: A Vision
by: Huang, Jiangping, et al.
Published: (2025)
by: Huang, Jiangping, et al.
Published: (2025)
When Code Smells Meet ML: On the Lifecycle of ML-specific Code Smells in ML-enabled Systems
by: Recupito, Gilberto, et al.
Published: (2024)
by: Recupito, Gilberto, et al.
Published: (2024)
CoSQA+: Pioneering the Multi-Choice Code Search Benchmark with Test-Driven Agents
by: Gong, Jing, et al.
Published: (2024)
by: Gong, Jing, et al.
Published: (2024)
Compiled AI: Deterministic Code Generation for LLM-Based Workflow Automation
by: Trooskens, Geert, et al.
Published: (2026)
by: Trooskens, Geert, et al.
Published: (2026)
Commenting Higher-level Code Unit: Full Code, Reduced Code, or Hierarchical Code Summarization
by: Sun, Weisong, et al.
Published: (2025)
by: Sun, Weisong, et al.
Published: (2025)
Automating Domain-Driven Design: Experience with a Prompting Framework
by: Eisenreich, Tobias, et al.
Published: (2026)
by: Eisenreich, Tobias, et al.
Published: (2026)
ESALE: Enhancing Code-Summary Alignment Learning for Source Code Summarization
by: Fang, Chunrong, et al.
Published: (2024)
by: Fang, Chunrong, et al.
Published: (2024)
Leveraging Large Language Models for Use Case Model Generation from Software Requirements
by: Eisenreich, Tobias, et al.
Published: (2025)
by: Eisenreich, Tobias, et al.
Published: (2025)
Early-Stage Prediction of Review Effort in AI-Generated Pull Requests
by: Minh, Dao Sy Duy, et al.
Published: (2026)
by: Minh, Dao Sy Duy, et al.
Published: (2026)
Bug In the Code Stack: Can LLMs Find Bugs in Large Python Code Stacks
by: Lee, Hokyung, et al.
Published: (2024)
by: Lee, Hokyung, et al.
Published: (2024)
ASSERTIFY: Utilizing Large Language Models to Generate Assertions for Production Code
by: Torkamani, Mohammad Jalili, et al.
Published: (2024)
by: Torkamani, Mohammad Jalili, et al.
Published: (2024)
SAGAI-MID: A Generative AI-Driven Middleware for Dynamic Runtime Interoperability
by: Larsen, Oliver Aleksander, et al.
Published: (2026)
by: Larsen, Oliver Aleksander, et al.
Published: (2026)
LLMs as Idiomatic Decompilers: Recovering High-Level Code from x86-64 Assembly for Dart
by: Abualazm, Raafat, et al.
Published: (2026)
by: Abualazm, Raafat, et al.
Published: (2026)
From Untestable to Testable: Metamorphic Testing in the Age of LLMs
by: Terragni, Valerio
Published: (2026)
by: Terragni, Valerio
Published: (2026)
Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models
by: More, Riddhi, et al.
Published: (2025)
by: More, Riddhi, et al.
Published: (2025)
An Analysis of LLM Fine-Tuning and Few-Shot Learning for Flaky Test Detection and Classification
by: More, Riddhi, et al.
Published: (2025)
by: More, Riddhi, et al.
Published: (2025)
A Systematic Approach for Assessing Large Language Models' Test Case Generation Capability
by: Chang, Hung-Fu, et al.
Published: (2025)
by: Chang, Hung-Fu, et al.
Published: (2025)
Source Code Summarization in the Era of Large Language Models
by: Sun, Weisong, et al.
Published: (2024)
by: Sun, Weisong, et al.
Published: (2024)
The Upper Bound of Information Diffusion in Code Review
by: Dorner, Michael, et al.
Published: (2023)
by: Dorner, Michael, et al.
Published: (2023)
Toward Architecture-Aware Evaluation Metrics for LLM Agents
by: Souza, Débora, et al.
Published: (2026)
by: Souza, Débora, et al.
Published: (2026)
Towards Identifying Code Proficiency through the Analysis of Python Textbooks
by: Rojpaisarnkit, Ruksit, et al.
Published: (2024)
by: Rojpaisarnkit, Ruksit, et al.
Published: (2024)
Inside the Scaffold: A Source-Code Taxonomy of Coding Agent Architectures
by: Rombaut, Benjamin
Published: (2026)
by: Rombaut, Benjamin
Published: (2026)
Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality
by: Zhong, Suzhen, et al.
Published: (2025)
by: Zhong, Suzhen, et al.
Published: (2025)
EvoGraph: Hybrid Directed Graph Evolution toward Software 3.0
by: Costa, Igor, et al.
Published: (2025)
by: Costa, Igor, et al.
Published: (2025)
Similar Items
-
The Impact of Large Language Models on Open-source Innovation: Evidence from GitHub Copilot
by: Yeverechyahu, Doron, et al.
Published: (2024) -
Automated Code Review Using Large Language Models at Ericsson: An Experience Report
by: Ramesh, Shweta, et al.
Published: (2025) -
Agentic Refactoring: An Empirical Study of AI Coding Agents
by: Horikawa, Kosei, et al.
Published: (2025) -
Beyond Greenfield: The D3 Framework for AI-Driven Productivity in Brownfield Engineering
by: Sharma, Krishna Kumaar
Published: (2025) -
Learning Software Bug Reports: A Systematic Literature Review
by: Long, Guoming, et al.
Published: (2025)