12 citations · 18 across the 3 of their papers we have counts for
4 papers · 1 filter
FastContext: Training Efficient Repository Explorer for Coding Agents
Shaoqiu Zhang, Maoquan Wang, Yuling Shi +12
Large Language Model (LLM) coding agents have achieved strong results on software engineering tasks, yet repository exploration remains a major bottleneck: locating relevant code c…
AutoDev: Automated AI-Driven Development
Michele Tufano, Anisha Agarwal, Jinu Jang +2
The landscape of software development has witnessed a paradigm shift with the advent of AI-powered assistants, exemplified by GitHub Copilot. However, existing solutions are not le…
Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming
Anisha Agarwal, Aaron Chan, Shubham Chandel +6
The integration of Large Language Models (LLMs) into Development Environments (IDEs) has become a focal point in modern software development. LLMs such as OpenAI GPT-3.5/4 and Code…
Predicting Code Coverage without Execution
Michele Tufano, Shubham Chandel, Anisha Agarwal +2
Code coverage is a widely used metric for quantifying the extent to which program elements, such as statements or branches, are executed during testing. Calculating code coverage i…