
An LLM Is Not the Program: What Is Actually Inside the Model File
Follow an LLM request past the API and into GGUF tensors, learned parameters, attention, and the transformer layer that turns model data into logits.
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Practical architecture decisions, tradeoffs, and operating lessons from software that has to survive business change.
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Follow an LLM request past the API and into GGUF tensors, learned parameters, attention, and the transformer layer that turns model data into logits.
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What I learned running pg-boss in a high-volume Node.js backend: why PostgreSQL made the queue dependable, how PM2 protected web traffic, and why every job still needed to be safe to retry.
A practical guide to AI workflow automation for small and mid-sized businesses: use cases, ROI, implementation steps, risks, tools, and when custom software makes sense.
A production readiness checklist for software built with AI assistance, covering architecture, tests, security, observability, data handling, and maintenance.