My Blog
Sharing my knowledge and technical discoveries.
Physical key architecture: the future of physical format after the optical disc
Technical and economic analysis of using advanced passive NFC cards with a secure element as a physical key of ownership in the post-disc era.
Sonnet 5 Is the Death of the Premium Model
Claude Sonnet 5 reaches Opus 4.8 capability on agentic tasks at 40% of the price. What this means for your model selection strategy.
Git Worktree: The Alternative to Cloning and Context Switching in the AI Era
Git Worktree allows you to work on multiple branches simultaneously in isolation. Learn how it eliminates context switching in the age of AI coding assistants.
The Copilot Illusion: Why Generating More Code Without Governance Destroys Maintainability
AI tools reduce the cost of writing code to zero, but multiply software complexity and technical debt without clear architecture boundaries and code governance.
Cognitive Load as a Design Constraint: Why Your Architecture Fails Because of Your Org Chart
The optimal architecture respects teams' cognitive limits rather than minimizing only technical coupling. Conway's Law, Team Topologies and design physics.
The Power of Asynchrony: Benefits and Challenge Mitigation in Event-Driven Architectures
Explore the benefits of event-driven architectures (EDA) and how to overcome their technical challenges of consistency, ordering, and idempotency.
The Tyranny of the Network: Physical Latency and the Fallacies of Distributed Computing
Why the speed of light and serialization overhead impose physical limits on distributed architectures. A practical guide to network latency.
Frankenstein Architecture: The Risk of Agents Without Technical Direction
How agentic AI accelerates software entropy without proper governance. Strategies and tools to define design boundaries and prevent technical debt.
The Illusion of Code Coverage: Why Your Unit Tests Won't Save Your Production
Why chasing 100% code coverage with heavily mocked unit tests couples your design, masks integration bugs, and compromises production safety.
The Importance of Context in the Age of AI
Why functional and technical context, alongside acceptance testing and traditional design principles, remain crucial for developing robust software with Artificial Intelligence.
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