All articles
BLOG / ARCHITECTURE
Architecture articles
System design and architecture patterns for production AI.
Architecture articles look at how the pieces of an AI system fit together: where the model sits relative to your existing services, how retrieval, tools, caching and evaluation connect, and which boundaries keep the system testable and secure.
The focus is on trade-offs rather than a single correct design. Choices such as hosted versus self-hosted models, one general agent versus a fixed workflow, or a shared platform versus per-team integrations depend on scale, data sensitivity and team skills. These articles lay out those trade-offs so you can choose deliberately.
For a structured path through this topic, see Production AI Systems and FDE Engineering Fundamentals.
5 articles
Foundations
Context Engineering vs Prompt Engineering: What Changes
What context engineering is and how it differs from prompt engineering: what goes into context, budgets, ordering, compaction and how to evaluate it.
Oct 11, 2026 9m
Advanced
LLM Gateways: What They Do and How to Choose One
What an LLM gateway does, when you need one and how to choose: authentication, routing, budgets, caching, logging and policy, with a vendor-neutral scorecard.
Oct 11, 2026 9m
Foundations
Prompting, RAG or Fine-Tuning: A Decision Guide
Which technique first? A decision guide for prompting, RAG and fine-tuning: what each changes, what it costs to maintain and how to decide with an evaluation.
Oct 11, 2026 10m
Intermediate
What an AI Platform Engineer Actually Owns
What an AI platform team builds and runs: gateway, serving, evaluation pipelines, observability, cost and security, and where product teams take over.
Oct 11, 2026 9m
AdvancedFeatured
The Enterprise AI Engineering Blueprint
A reference architecture for enterprise AI: gateway, orchestration, RAG, MCP tools, identity, guardrails, evaluation, observability and governance.
Sep 11, 2026 16m