Software Engineers: Feedback on AI Coding Tools

1 нед. назад

СШАRemote

debuggingcode generationsoftware development

Paid research study on how software engineers use AI coding tools in their development workflows.

is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use to recruit, screen, and pay study participants across industries, languages, and skill sets.
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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

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.

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.
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.
Active software engineer or developer
Hands-on experience with tools like GitHub Copilot, Cursor, or Claude Code
Comfortable discussing technical workflows and debugging strategies