AI Systems Engineering Reference
355+ annotated patterns across capabilities, architectures, augmentation techniques, and infrastructure. Decision-oriented — each with criteria, cost signals, gotchas, and cross-references.
This is a structured reference, not a tutorial series. Each pattern is decision-oriented — covering when to use it, when not to, and what to watch for. Sourced from practical systems engineering work and designed for quick lookup.
Every pattern includes
Quick-scan badges
Complexity, phase, modality — triage at a glance
Decision criteria
When to use it and when not to
Cost profile
Relative cost and resource implications
Gotchas
What the docs don't tell you
Key tools
Frameworks, libraries, and services
Cross-references
Patterns that pair well together
Key resources
Papers, docs, and implementation guides