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Clear Measure provides resources to empower software leaders and developers in software delivery, fulfilling our vision to improve and inspire software teams worldwide.
The promise of AI in software development is that it will profoundly increase the rate of software delivery. But merely using AI tools does not deliver on that promise. Putting together an end-to-end automated process is what's required. That is the pattern of the "AI Software Factory". In this webinar, you will see an AI Software Factory in motion and learn what you need to do to implement this pattern for yourself to 2x and 3x your pace of software delivery.
To enable AI tools to process information stored in existing software systems or databases, that data must reach the language model's context window. There are only two ways to achieve this: (1) include it directly in the prompt, or (2) provide it as the result of a call to an LLM tool/function. The Model Context Protocol (MCP) offers a standardized pattern for discovering, grouping, and enabling sets of AI tools that language models can access. However, most traditional web services are not well-suited for agentic workflows. To support true agentic patterns with your existing systems, you need an MCP server. MCP is emerging as the new standard API for large language models. This training will jumpstart your journey toward designing and implementing an MCP server for your custom system or database.
.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.
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.
The software development landscape is undergoing a profound transformation with the rise of AI-driven tools and autonomous coding agents.

In this testimonial, attendees share key takeaways, insights, and how the training shaped their approach to software development through their experience at a Clear Measure Bootcamp.

Clear Measure Bootcamps are designed for professional developers and architects who want to strengthen clarity, speed, and stability in their software systems through hands-on, practical training.

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