Programming languages and software engineering
Publication
Learning to Complete Code with Sketches
Microsoft Research Blog
Jigsaw fixes bugs in machine-written software
Large pre-trained language models such as GPT-3, Codex, and others can be tuned to generate code from natural language specifications of programmer intent. Such automated models have the potential to improve productivity for every programmer…
Project
AI for Testing
AI-driven test case generation for Visual Studio and VSCode This project aims at developing AI-based systems with the goal of automating software testing activities. We train large transformer models to learn from developers’ code how…
Project
IntelliCode Completions
AI-driven code auto-completion in Visual Studio and VSCode The IntelliCode completions project started in 2018 when we tried to improve developer productivity through recommending class members based on user’s code context in Visual Studio. The…
Dataset Source Code
Jigsaw Datasets
Jigsaw Dataset: Natural language to Python Pandas code. Two datasets (PandasEval1 and PandasEval2) described in our paper, “Jigsaw: Large Language Models meet Program Synthesis”.
Dataset Source Code
MSCCL: Microsoft Collective Communication Library
Microsoft Collective Communication Library (MSCCL) is a platform to execute custom collective communication algorithms for multiple accelerators supported by Microsoft Azure.
Publication