Insights on web development, software engineering, and modern tech practices
A structured workflow for software development with AI agents — from epic definition to E2E verification, using proven skills and a clear separation between planning and building.
How software teams can structure agentic development with clear phases, role ownership, a RACI matrix, and a practical quality loop that keeps traceability inside the flow.
The BMAD Method brings structure to AI-powered software development, but its complexity can be a barrier. BMAD UI is an open-source interface that makes it easier to learn, execute, and monitor the entire workflow.
How a designer built a full B2B prototype with mocked data by leveraging VSCode and GitHub Copilot agent mode — no deep technical background required.
How the BMAD method excels at the first three phases of software development — analysis, planning, and solutioning — and how combining it with the Ralph loop for implementation, code review, and quality assurance creates a powerful end-to-end workflow.
Exploring the differences between vibe coding for simple projects and coding with AI for complex enterprise systems
How a laptop-free vacation led to discovering the power of mobile development with GitHub Copilot. From voice dictation to AI-assisted coding, learn how constraints sparked innovation in my development workflow.
Learn how AI agents can automatically detect, analyze, and fix errors using Datadog and SonarQube MCP servers, revolutionizing development workflows
Essential guidelines and project structure insights for AI assistants working with my codebase. Learn about my coding preferences, architecture patterns, and development workflow to provide better assistance.
Streamlining website migration using AI-powered tools and MCP servers for UI design, content modeling, and content migration