Jeffrey Palermo, CTO & Chairman of Clear Measure, walks through the AI Software Factory pattern in this Austin .NET User Group presentation, an executive-level framework for orchestrating how software moves through an organization to increase throughput while keeping quality high.
The session makes the case that AI builds on top of good software delivery fundamentals, not around them. Teams still struggling with escaped defects, production instability, or an incomplete DevOps environment will not benefit from AI until those are solved.
Live demos cover automated production incident resolution, a software delivery scorecard with forecasting, and auto-generated architecture documentation pulled from source code. The core takeaway is that AI works best on easy, well-defined work. Start there, measure the impact, and let human judgment handle the rest.
