Sources and Further Reading

Sources

The content of this module is based on the following sources and resources:

Studies and Research

• GitHub: "Research: Quantifying GitHub Copilot's impact on developer productivity and happiness" -- Study on productivity gains through AI coding assistants. github.blog
• Google: "AI-Assisted Software Engineering at Google" -- Experience report on the use of AI coding tools at Google. research.google

AI Coding Assistants (As of: May 2026)

• GitHub Copilot -- AI-powered coding assistant, integrated into VS Code, JetBrains, and other editors. github.com/features/copilot
• Claude Code (Anthropic) -- Agent-based coding assistant for the command line. anthropic.com
• Cursor -- AI-native code editor with integrated chat and agent functionality. cursor.com
• Windsurf (Codeium) -- AI coding assistant with IDE integration. codeium.com

Best Practices

• Thoughtworks Technology Radar -- Regular assessment of AI coding tools and their maturity level. thoughtworks.com/radar
• Martin Fowler: "Refactoring" -- Standard reference on code quality and refactoring, relevant for evaluating AI-generated code. martinfowler.com

Further Reading

• Intermediate Path: AI Coding Tools -- Technical depth: Agent-Driven Development, Vibe Coding, cost analysis
• AI Workshop: App Building -- Building apps with No-Code/Low-Code and AI

As of: May 2026. Links and tool information are subject to change.