What We're Researching
We're running a paid study on the evolving landscape of AI-assisted software engineering. The goal is to understand how modern code generation tools fit into everyday development workflows. Your insights will help us map the current state of developer productivity and tool adoption.
How It Works
You will join a remote video call to walk us through your typical programming environment. We will ask you to share examples of how you integrate code assistants into your daily tasks. You will also discuss the strengths and limitations of the specific models you rely on. The conversation will focus heavily on practical use cases, debugging habits, and prompt strategies.
Who This Is For
We are looking for software engineers, developers, and technical leads who actively write code. You must have hands-on experience using modern AI assistants, such as Copilot, Claude Code, or Cursor. We welcome backend, frontend, full-stack, and mobile developers across all tech stacks.
What You'll Do
Walk us through your typical software development workflow
Describe how you use AI coding assistants to write or debug code
Compare different models or tools you have tried recently
Discuss the challenges or limitations you encounter when relying on generated code
Who Should Apply
Active software engineer or developer
Hands-on experience with tools like GitHub Copilot, Cursor, or Claude Code
Comfortable discussing technical workflows and debugging strategies
Compensation
$63 one-time
Ready to participate?
Start your paid interview now
About Terac
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Learn more at or on YouTube at @jointerac.
Terac is building the world's largest pool of vetted human experts for AI. The company serves researchers, AI labs, and product teams by providing infrastructure to recruit, screen, and pay study participants across industries, languages, and skill sets. Terac facilitates research initiatives focused on improving AI systems, such as content evaluation and quality assessment tools. Their platform enables organizations to access qualified human experts for AI training and evaluation purposes.
