Software Engineers: Feedback on AI Coding Tools

Accountabilities

• • Participate in a remote video interview focused on your software development workflow and experience with AI coding tools.

  • Walk through your typical programming environment and explain how AI assistants fit into your day-to-day development process.

  • Describe how you use tools such as GitHub Copilot, Cursor, Claude Code, or comparable AI coding assistants to write, modify, troubleshoot, or debug code.

  • Discuss the prompting strategies, workflows, and practices you use to get useful results from AI-assisted development tools.

  • Compare different AI coding tools or models you have recently used, highlighting practical differences in capabilities and user experience.

  • Share examples of challenges, limitations, errors, or reliability concerns you encounter when working with AI-generated code.

  • Discuss how AI-assisted development affects your productivity, debugging habits, coding workflow, and decision-making.

  Requirements

  • Currently active as a software engineer, software developer, technical lead, or in a closely related hands-on engineering role.

  • Hands-on experience using modern AI coding assistants, such as GitHub Copilot, Cursor, Claude Code, or similar tools.

  • Comfortable actively writing and reviewing software code as part of your professional or substantial technical work.

  • Ability to clearly explain technical workflows, development practices, debugging approaches, and experiences with AI-generated code.

  • Willingness to discuss both the benefits and limitations of AI-assisted software development based on firsthand experience.

  • Experience in backend, frontend, full-stack, mobile, or other software engineering disciplines is welcome across technology stacks.

  • Comfortable participating in a remote video conversation and sharing relevant examples from your development workflow.

  Benefits

  • $63 USD one-time compensation for participation in the paid research interview.

  • Fully remote participation from the United States.

  • Opportunity to share firsthand feedback on the rapidly evolving landscape of AI-assisted software engineering.

  • Discussion format centered on your existing development experience and tools rather than requiring preparation of new technical work.

  • Opportunity to contribute insights that can help inform research into developer productivity and AI coding tool adoption.