8 citations · 9 across the 3 of their papers we have counts for
4 papers · 1 filter
Achieving Productivity Gains with AI-based IDE features: A Journey at Google
Maxim Tabachnyk, Xu Shu, Alexander Frömmgen +7
We discuss Google's journey in developing and refining two internal AI-based IDE features: code completion and natural-language-driven code transformation (Transform Code). We addr…
Smart Paste: Automatically Fixing Copy/Paste for Google Developers
Vincent Nguyen, Guilherme Herzog, José Cambronero +4
Manually editing pasted code is a long-standing developer pain point. In internal software development at Google, we observe that code is pasted 4 times more often than it is manua…
How is Google using AI for internal code migrations?
Stoyan Nikolov, Daniele Codecasa, Anna Sjovall +4
In recent years, there has been a tremendous interest in using generative AI, and particularly large language models (LLMs) in software engineering; indeed there are now several co…
Natural Language Outlines for Code: Literate Programming in the LLM Era
Kensen Shi, Deniz Altınbüken, Saswat Anand +17
We propose using natural language outlines as a novel modality and interaction surface for providing AI assistance to developers throughout the software development process. An NL…