mlsanityData to 7 Oct 2026

Copilot for Xcode: Exploring AI-Assisted Programming by Prompting Cloud-based Large Language Models

arXiv 2307.14349 ↗First posted 8 Jul 2023cs.SE cs.AIcited by 11

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Abstract (arXiv)

This paper presents an AI-assisted programming tool called Copilot for Xcode for program composition and design to support human software developers. By seamlessly integrating cloud-based Large Language Models (LLM) with Apple's local development environment, Xcode, this tool enhances productivity and unleashes creativity for software development in Apple software ecosystem (e.g., iOS apps, macOS). Leveraging advanced natural language processing (NLP) techniques, Copilot for Xcode effectively processes source code tokens and patterns within code repositories, enabling features such as code generation, autocompletion, documentation, and error detection. Software developers can also query and make "small" decisions for program composition, some of which can be made simultaneously, and this is facilitated through prompt engineering in a chat interface of Copilot for Xcode. Finally, we present simple case studies as evidence of the effectiveness of utilizing NLP in Xcode to prompt popular LLM services like OpenAI ChatGPT for program composition and design.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 17 of its 62 references that are in the map. First posted on arXiv 8 Jul 2023.

Builds on

17 of 62 references.

References · 17

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5 more
  1. 2022Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programmingcited by 91
  2. 2023AI-assisted coding: Experiments with GPT-4cited by 43
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 3; 2025: 4; 2026: 2.

11 papers.

  1. 2023Large Language Models for Software Engineering: A Systematic Literature Reviewcited by 389
  2. 2024Natural Language Outlines for Code: Literate Programming in the LLM Eracited by 9
  3. 2023Large Language Model-Driven Classroom Flipping: Empowering Student-Centric Peer Questioning with Flipped Interactioncited by 5
  4. 2025Human-AI Experience in Integrated Development Environments: A Systematic Literature Reviewcited by 5
  5. 2025Aligning Crowd-sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Modelscited by 3
  6. 2024Are Human Rules Necessary? Generating Reusable APIs with CoT Reasoning and In-Context Learningcited by 2
  7. 2025From Code Generation to Software Testing: AI Copilot with Context-Based RAGcited by 2
  8. 2025Future-Proofing Programmers: Optimal Knowledge Tracing for AI-Assisted Personalized Educationcited by 1
  9. 2024Contextual Augmented Multi-Model Programming (CAMP): A Hybrid Local-Cloud Copilot Frameworkcited by 0
  10. 2026Assessing Spear-Phishing Website Generation in Large Language Model Coding Agentscited by 0
  11. 2026Nemobot Games: Crafting Strategic AI Gaming Agents for Interactive Learning with Large Language Modelscited by 0