AI Integration: Architectural Fundamentals

Categorize current AI capabilities relevant to software development (code generation, analysis, testing, documentation, decision support).

Distinguish between deterministic and non-deterministic system components and the architectural challenges of combining them.

Identify key non-functional requirements introduced by AI components (model versioning, data privacy, inference latency, cost).

Describe common architectural patterns for integrating AI services into existing systems (sidecar, gateway, embedded model).

Evaluate the impact of AI integration on system reliability, observability, and failure modes.