Software Engineers: Feedback on AI Coding Tools

Jobgether SRL; United States; Remote; USD 60 - 70; Full time

Benefits offered by this job

63 USD one-time compensation

Fully remote participation from the US

Contribute to AI research in software

Job summary

Jobgether SRL, listed on behalf of a partner company, invites software engineers in the United States to participate in a paid remote research interview about AI coding tools. You will discuss your daily workflow, how tools like GitHub Copilot, Cursor, Claude Code fit into development, and share prompts and strategies.

The study welcomes backend, frontend, full-stack, and mobile engineers. Participation is flexible, no pre-work required, and your feedback will help researchers understand AI's

Qualifications

• 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.

Responsibilities

• 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.

Skills

Active software engineer

Hands-on AI coding tools

Explain technical workflows

Tools

GitHub Copilot

Cursor

Claude Code

AI coding tools

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineers: Feedback on AI Coding Tools based in United States.

This is a paid, remote research opportunity focused on how software engineers use AI-assisted coding tools in real-world development workflows.
You’ll participate in a video interview where you can share your practical experiences with modern coding assistants.
The discussion will explore how AI tools support coding, debugging, productivity, and everyday engineering tasks.
You’ll compare tools and models you have used and discuss their strengths, limitations, and reliability.
Your feedback will contribute to research into the evolving role of AI in software development.
The study welcomes engineers across backend, frontend, full-stack, and mobile development environments.
The engagement is designed to be straightforward, flexible, and focused on your firsthand technical experience.

• 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.