PS> Write-Output "Deep Dive into Business Central Development"

In my daily work as a Business Central consultant, I’ve noticed how much time we lose waiting for Docker containers to spin up. Whether you’re switching branches, debugging a specific issue, or - increasingly - running parallel agentic coding tools,...

When people first encounter AI coding tools like GitHub Copilot, Claude Code, or Cursor, they often focus on the wrong metric: “Can it write perfect code in one shot?” From my experience working with these tools in Business Central development,...

If you pick the same model in two different tools, you won’t get the same experience. Claude Sonnet 4 is the one example: in Claude Code (Anthropic’s native experience) you get large context and explicit control over extended thinking; in GitHub...

Introduction Imagine a world where you can hand off a GitHub issue to an AI agent, and it autonomously develops the code, fixes the bug, and creates a pull request for you to review. This is the power of the...

Problem When working with agentic code tools like GitHub Copilot, one crucial way to guide the tool is ensuring that the application actually compiles without errors from code analyzers. This validates the syntax and provides immediate feedback on code quality....