Software teams struggle to keep pace with rising complexity and delivery demands
Agile practices help, but inconsistency, technical debt, and slow progress remain
Without strong standards, testing, and architecture, AI-generated code can amplify poor practices
Solutions
Apply AI-driven tools like Semantic Kernel and GitHub Copilot to accelerate coding, automate function calls, and manage changes across multiple files.
Shift the developer role from typing code to guiding and reviewing AI output.
Build on solid foundations: automated DevOps pipelines, consistent architecture, and comprehensive testing.
Benefits
Achieve dramatic productivity gains
Allow developers to focus more on concept clarity, UX, technical design, and test design.
Improve quality and consistency while reducing manual effort
The software development landscape is undergoing a profound transformation with the rise of AI-driven tools and autonomous coding agents.
Microsoft has announced GitHub Copilot’s evolution into an autonomous coding agent. This innovation, if used well, is reshaping how developers write, deploy, and maintain code, enabling more efficient workflows and intelligent automation.
Attendees will gain insights into best practices for integrating AI into .NET software. More importantly, they will see how to use AI-Driven Development as an engineering practice in order to deliver quality software 2-10 times faster than unassisted.
Join us as we explore the future of AI-driven development in .NET and discover how these advancements can empower developers to move fast, deliver quality, and run their systems with confidence.
