AI First Development Lessons Learned

AI-assisted development is changing how software is designed, built, tested, and reviewed. In this hands-on workshop, participants will explore reusable AI development skills created and refined through the AI-First Development Radio Frequency Database proof of concept. Attendees will test prompts and skills for requirements analysis, architecture, coding standards, automated testing, accessibility review, security review, and prompt engineering while comparing AI-generated outputs with human evaluation. Participants will leave with practical techniques, reusable prompts, and a better understanding of where AI can accelerate development and where human expertise remains essential.

About this event:

Presenters:

• Jamie Stadnik, Software Developer, Technology Services
• Ginger Hundgen, Lead Business Process Improvement Analyst, Office of the Chief Information Officer
• Michelle Pitcel, Lead Cybersecurity Engineer and Software Developer, Technology Services
• Priyanka Pradeep, Senior Quality Assurance Specialist, Technology Services

Track:

Summoning Tools — Reveal AI companions and productivity-enhancing powers. Showcase the tools, techniques, and automations that helped you clear your toughest encounters.

Experience Needed:

All Levels

Learning Outcome:

Build faster using reusable AI development skills.

Test and refine AI-generated requirements, code, and test cases.

Identify quality, accessibility, and security gaps AI may miss.

Apply effective prompting patterns to real development scenarios.

Integrate AI-assisted practices into their own development workflows.

Additional Keywords:

AI-assisted development, Generative AI, Software development, GitHub Copilot, AI skills, Human oversight, Quality assurance, Accessibility, Cybersecurity, Requirements gathering