How I Use AI to Make Software Easier to Own
How I use AI to investigate, implement, challenge assumptions, and remove unnecessary complexity while retaining responsibility for engineering decisions.
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Software Development
Practical architecture decisions, tradeoffs, and operating lessons from software that has to survive business change.
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Configuration Beats Code Only When Variation Is Bounded
A decision framework for moving business rules into governed configuration without creating an untyped programming language that nobody can operate safely.
Adapter Boundaries That Make Change Cheaper
How to design adapter boundaries that contain vendor semantics without hiding business-critical differences or creating a private framework.
One Model, Many Conversations: LLM Serving, Memory, and Reasoning
How serving engines share one model across users, isolate KV caches, batch token generation, preserve context, and spend more inference compute on reasoning.
From GGUF to GPU: How llama.cpp Actually Runs a Model
Trace llama_decode through GGML graphs, CUDA kernels, GPU memory, and next-token generation—and see why expensive LLM inference can still be fast.