From Logic-Driven to Context-Driven Software
How software built by encoding explicit rules is giving way to software built by shaping context, and what that changes about the engineering job.
Writing
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Context Engineering: The New Software Engineering
Why reliable AI behavior comes from designing the whole context, not tuning a single clever prompt, and the five layers that make up good context.
Why AI Applications Are Ecosystems, Not Software
Why AI applications behave like ecosystems shaped by feedback loops and user adaptation, and what that means for how you design and monitor them.
AI Application Architecture: LLM + Memory + Tools
The five components a production AI application actually needs beyond the model itself: memory, tools, retrieved knowledge, and structured context.
LLM Strengths and Limitations: A Practical Framework
A practical framework for deciding when an LLM is the right tool for a task, when it isn't, and how to architect around its limitations.
Generalization: Why AI Looks Smart
How LLMs generalize from patterns instead of understanding, where that generalization holds up in practice, and where it quietly breaks down.
What is LLM: The Nature of Language Models
What large language models actually are: probabilistic token predictors, not databases or reasoning engines, and why the distinction matters.
Faster Rails Docker Feedback Loop: Runtime Deps and HMR
How I reduced Docker development friction across three Rails apps by removing rebuild-heavy steps, adding runtime dependency sync, and enabling webpack HMR.
Polymorphic Indexes in MySQL: Type-First or ID-First?
A practical comparison of [type, id] versus [id, type] composite index order for polymorphic associations in Rails and MySQL, and how to choose.
Auditing USB-C Cable Quality from macOS Terminal
A macOS Terminal script that reads the I/O Kit registry to check negotiated wattage and voltage, so you can tell a fast USB-C cable from a slow one.