See summary here (Sachan 2017)

• Chen et al 2016 - Latent Attention For If-Then Program Synthesis
• Yin & Neubig 2017 - A Syntactic Neural Model for General-Purpose Code Generation
• Li et al 2022 - Competition-Level Code Generation with AlphaCode website blog post Treats competitive coding as seq2seq from problem description to code solution.

• AlphaCode: Li et al 2022 - Competition-Level Code Generation with AlphaCode

• Overviews
  • 2024 - Understanding the Human-LLM Dynamic: A Literature Survey of LLM Use in Programming Tasks
• People
  • Kristian Kolthoff
• Deka et al 2017 - Rico: A Mobile App Dataset for Building Data-Driven Design Applications
• Hasan et al 2021 - Text2App: A Framework for Creating Android Apps from Text Descriptions
• Patton et al 2024 - Aptly: Making Mobile Apps from Natural Language
• Kolthoff et al 2024 - Interlinking User Stories and GUI Prototyping: A Semi-Automatic LLM-based Approach
• Kolthoff et al 2024 - Zero-Shot Prompting Approaches for LLM-based Graphical User Interface Generation

• Wu et al 2023 - Lemur: Integrating Large Language Models in Automated Program Verification

• Github Copilot Powered by OpenAI's Codex. “With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.”
• Cursor
• Zencoder Apparently pretty good according to this
• Lists of coding assistants and tools
  • All AI Coding Agents You Know
  • Best AI Coding Assistant Tools
• AlphaCode: paper blog post

• Program Induction
• Semantic Parsing
• Programs as Semantic Representations