Ideas for systems that must work in production.
Practical notes on architecture, testing, cloud platforms, integration, and reliable software delivery.
AI Agents and Legacy Systems: A Safe Architecture for Real-World Automation
How bounded tools, trusted approvals, continuous evaluations, and operational controls make agentic automation safer.
Read article →Legacy Systems Integration: From Documentation to Automated Delivery
A practical path from hidden dependencies to stable boundaries, automation testing, observability, and safe CI/CD pipelines.
Read article →Git Branching Strategies: Choosing the Right One
Compare Gitflow, GitHub Flow, GitLab Flow, trunk-based development, and release branches, with recommendations for every delivery model.
Read article →Unit Testing and Integration Testing: Why You Need Both
How the two testing layers find different failures, where each belongs, and how to build a test strategy that stays fast and trustworthy.
Read article →Building Production-Ready .NET Microservices on Azure
Architecture, messaging, data ownership, security, observability, deployment, and the tradeoffs that matter in production.
Read article →New insights, only when they’re ready.
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