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Field Note · Careers

Don't Just List AI Skills. Prove Them.

AI-assisted development is becoming an increasingly useful capability for software professionals. Simply adding “AI” to a CV, however, provides little evidence of what a candidate can actually do.

We recommend demonstrating practical experience with structured AI-driven development methodologies, such as BMAD, through real development work.

If you do not yet have that experience, create it.

Choose a realistic personal project and take it through the development lifecycle using an AI-driven methodology. Keep the project in GitHub so that the requirements, architecture, implementation, tests, commits, and final result provide tangible evidence of how you work.

Then make that experience visible in your CV and LinkedIn profile. Instead of simply stating “Experienced with AI development tools,” explain what you built, how AI was incorporated into the engineering process, and where human engineering judgment remained important.

During an interview, look for relevant opportunities to discuss this experience—even when the interviewer does not explicitly ask about AI. A conversation about a recent project, development methodology, productivity, testing, or problem solving can naturally demonstrate the capability.

The competitive advantage is not knowing how to prompt an AI tool.

It is being able to show that you can use AI systematically while still applying sound engineering practices to deliver working software.

Don't just claim the skill. Build something that proves it.