Claude Prompts for Architecture in Engineering

Surface the real trade-offs in a technical design, weight them against the team's actual context, and recommend with named assumptions.

Critically evaluate a database schema or data model — identifying normalization issues, missing constraints, indexing gaps, and design patterns that will cause problems at scale — with concrete improvements.

Analyze a monolithic application and produce a decomposition plan — identifying service boundaries, migration sequence, communication patterns, and the risks of the split — with a phased approach that keeps the system running throughout.

Critically evaluate a system design proposal — assessing scalability, reliability, data consistency, security, operational complexity, and cost — with prioritized feedback and alternative approaches.

Systematically compare technology options for a technical decision — evaluating fit, maturity, team readiness, operational cost, and long-term risk — and produce a structured recommendation with clear rationale.