AI Assisted Greenfield Software Development

Presenter: John M. Miller

When: Wednesday, September 10, 2025 12:00pm Central Time (CT)

Duration: 75 minutes (approximately)

AI-assisted software development is revolutionizing the way engineers and businesses approach coding and problem-solving. By integrating intelligent automation and generative AI models into development workflows, teams can significantly enhance productivity, reduce errors, and accelerate innovation. AI-powered tools can suggest code improvements, optimize performance, and even generate entire functional blocks, allowing developers to focus on strategic design and complex problem-solving rather than repetitive tasks. Moreover, AI can adapt to evolving development needs, learning from user inputs to refine recommendations over time.

As the industry embraces AI-driven coding assistance, we stand at the brink of a transformative era where creativity and efficiency go hand in hand, pushing the boundaries of software engineering to new heights. As AI tools like GitHub Copilot become integral to modern development workflows, managing context effectively is key to unlocking their full potential.

This webinar explores how developers can use structured instruction files and targeted prompts to guide AI in generating high-quality, compliant code. Attendees will learn how to define business rules as context, create reusable prompt libraries for different phases of development—from project setup to Azure provisioning and DevOps—and implement test gates to validate AI-generated outputs. We’ll also dive into best practices for reviewing implementations across application layers, automating tests, and enforcing business logic through command, query, and event models.

Whether you're building APIs, provisioning infrastructure, or refining domain logic, this webinar will equip you with a scalable framework for integrating AI into your development lifecycle with precision and confidence.