A small fishing boat heading into open water, symbolizing early-stage distribution before traction.

Backlinks Won't Get You Your First Customers

Backlinks are a lagging indicator of trust, not a leading indicator of revenue. Here’s the distribution playbook that actually closes first customers.

September 2, 2026 · 9 min · 1917 words · martinuke0

Transformer Architectures: 2017 → 2025+

From ‘Attention Is All You Need’ to modern mixture-of-experts and state-space hybrids: how the transformer family has evolved and what working engineers should know about the variants in production today.

September 2, 2026 · 9 min · 1854 words · martinuke0
Abstract visualization of attention weights connecting tokens across a sequence.

"Attention Is All You Need" — The Paper That Rewrote NLP and Reshaped Modern AI

A practical walkthrough of the 2017 transformer paper that replaced RNNs with self-attention — what the architecture actually does, why the design choices matter in production, and how every modern LLM inherits from it.

September 2, 2026 · 9 min · 1869 words · martinuke0
Abstract diagram showing an LLM at the center connected to retrieval, eval, and observability layers.

AI Engineering Is No Longer Just About Knowing How to Use an LLM

Calling an LLM API is the easy part. Shipping reliable AI features in production demands evaluation pipelines, retrieval layers, observability, cost controls, and guardrails. Here is what real AI engineering looks like in 2026.

September 2, 2026 · 9 min · 1812 words · martinuke0
Abstract visualization of a transformer model being compressed into an optimized form.

NVIDIA Model Optimizer: The Compiler-Style Playbook for Production LLM Inference

A deep dive into NVIDIA’s Model Optimizer toolkit and how its compilation-style approach reshapes the production LLM inference stack, from quantization recipes to KV-cache strategies.

September 2, 2026 · 12 min · 2410 words · martinuke0
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