AI Vibe Coding Adoption Survey

Benchmarking how teams code with AI.

About the AI Vibe Coding Adoption Survey

Understanding the future of AI-assisted software development

Our Mission

The AI Vibe Coding Adoption Survey is a comprehensive research initiative designed to capture the current state and future trajectory of artificial intelligence in software development.

We believe that understanding how developers, teams, and organizations are adopting AI coding tools is crucial for shaping the future of software engineering education, tooling, and best practices.

Our goal is to provide the industry with data-driven insights that help organizations make informed decisions about AI adoption while contributing to the broader conversation about the future of coding.

🎯 Key Objectives

  • Measure AI coding tool adoption rates across industries
  • Identify barriers and accelerators to AI adoption
  • Document real-world AI coding workflows and practices
  • Benchmark productivity and quality impacts
  • Provide industry insights and recommendations

Our Research Approach

📊

Data-Driven

Structured questionnaires designed with industry experts to capture quantitative and qualitative insights about AI coding adoption.

🔒

Privacy-First

All responses are anonymized and aggregated. We comply with GDPR, CCPA, and other data protection regulations to ensure participant privacy.

🌍

Global Scope

Open to developers, teams, and organizations worldwide across all industries and company sizes to capture diverse perspectives.

Who We Serve

👨‍💻 Individual Developers

  • Benchmark your AI tool usage against peers
  • Discover new AI coding tools and practices
  • Understand industry trends and skill demands
  • Access early insights on AI coding best practices

🏢 Organizations

  • Make data-driven AI adoption decisions
  • Understand competitive landscape and trends
  • Identify training and skill development needs
  • Access industry benchmarks and ROI insights

🎓 Researchers & Educators

  • Access aggregated industry data for studies
  • Understand curriculum and training needs
  • Identify research opportunities and gaps
  • Contribute to academic understanding of AI coding

🛠️ Tool Vendors

  • Understand market adoption patterns
  • Identify user needs and pain points
  • Benchmark against industry standards
  • Inform product development strategies

Timeline & Expected Impact

📅 Research Timeline

Phase 1: Data Collection

Ongoing survey data collection from global participants

Phase 2: Analysis

Quarterly analysis and aggregation of survey responses

Phase 3: Reporting

Publication of insights and benchmark reports

🎯 Expected Impact

  • Industry Benchmarks: First comprehensive AI coding adoption metrics
  • Best Practices: Documentation of successful AI integration strategies
  • Education: Inform curriculum development and training programs
  • Policy: Support evidence-based technology adoption policies
  • Innovation: Guide future AI coding tool development

Our Commitment to You

We are committed to conducting this research with the highest standards of academic integrity, data privacy, and transparency. Your participation helps shape the future of software development, and we take that responsibility seriously.

🤝 Our Promises

  • Complete anonymization of all survey responses
  • Transparent reporting of methodology and limitations
  • Free access to aggregate findings for all participants
  • Respect for participant rights and data protection laws
  • Continuous improvement based on participant feedback