.NET AI Architecture for DevOps provides strategies and design patterns to enhance software development and deployment with AI integration.
AI‑driven development is transforming how .NET engineers deliver software. Instead of envisioning a fully autonomous future, this webinar presents a practical, near‑term model: enabling a skilled engineer to compress a month of feature work into a single day through AI‑Driven Development.
Jeffrey Palermo introduces an approach that pairs clear architectural decisions with high‑leverage automation and modern AI coding tools like Cursor, GitHub Copilot, and Claude. Attendees will learn how to design AI‑ready DevOps environment, use parallelized local and cloud runners, and guide LLMs to generate code, tests, and supporting artifacts with confidence and consistency.
Implementing .NET AI Architecture for DevOps ensures consistent testing, scalable pipelines, and effective AI integration.
The session covers how to structure a repeatable workflow for rapidly delivering production‑quality features—achieving 10× throughput without sacrificing quality or control.
Many pundits compare AI to a junior developer on your team. This is false. AI is code that runs on a computer and cannot operate fully by itself. It must be operated like any other sophisticated machine. However, it is a very sophisticated machine capable of building software features if the development environment is well-designed and complete.
This webinar will demonstrate the ability to fully delegate a software feature to an unmonitored AI tool. When an engineer reviews the output, it will be a fully developed feature that meets the team’s standards, including all automated tests, and a complete pull request ready for review. Move into the future with us, where you can delegate the development of easy features and changes entirely to the computer, allowing your engineers to focus on new, novel, or difficult features.
In this episode, Jeffrey Palermo joined Dan Clarke to discuss AI-driven development and DevOps, exploring how AI is changing software and the importance of implementing DevOps processes before AI can begin to leverage writing features in a reliable and consistent way.
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Software engineering is at an inflection point. Some pundits claim that all programming will be done by AI in the future, while others claim that it’s all hype. We will find the reality somewhere in the middle. This webinar dives into what is possible now with Visual Studio 2026 and .NET 10 regarding AI-Driven Development.
Why do so many software projects go off track?
This video reveals the three key elements that set successful projects apart: the solution, the project, and the team—all before execution begins.
Join us for a deep dive into the future of intelligent software development, where performance meets productivity. This webinar explores how Visual Studio 2026 and .NET 10 are reshaping the developer experience with AI-powered tooling and runtime enhancements, enabling massive increases in software team throughput.
Discover how Visual Studio’s redesigned interface, faster build times, and integrated AI assistants streamline architecture decisions and accelerate delivery. If you’re building scalable enterprise systems or experimenting with AI-driven workflows, join Clear Measure Chief Architect Jeffrey Palermo in this session to equip you with the insights to architect smarter, faster, and more maintainable solutions.
