Join me on a journey where every post brings a fresh perspective. This blog is for those who are driven by curiosity and a desire to learn.
Faster agents can leave slower handoffs. A practical take on GitHub AES: review capacity, enforced stopping points, and evidence from production.
Final part of our AI project validation series. Learn how to define success metrics, run effective pilot projects, and review key takeaways for successful AI implementation.
Part 2 of our AI project validation series. See the decision framework in action with examples and explore key ethical risks like bias, privacy, and workforce impact.
Part 1 of our series on validating AI projects. Learn a structured decision tree framework to assess strategic alignment, business impact, and ROI.
An overview of a typical machine learning workflow for image classification, covering problem definition, ML type, tooling, data preparation, model training, and deployment using TensorFlow, Flask, and Docker.
Explore the Model Context Protocol (MCP), a groundbreaking standard for AI integration, enabling seamless interaction between AI models and external data sources.
Discover how GitHub Copilot's Agent Mode enhances your development experience with natural language interactions and context-aware assistance throughout your coding journey.
