enhance(feature-dev): add system design patterns, edge cases, and operational context to code-architect agent#74010
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…rational context to code-architect agent Add three new steps to the code-architect agent core process: - Step 0: System Design Pattern Analysis - identify relevant patterns (event-driven, CQRS, circuit breaker, etc.) grounded in industry references (Google SRE, AWS Well-Architected, microservices.io) before examining codebase-specific patterns - Step 2: Edge Cases & Test Expectations - enumerate 10-15 edge cases with expected behavior, prioritized by marginal return of utility to avoid over-engineering cases with diminishing returns - Step 5: Operational Context - specify logging points, metrics, alerting thresholds, and applicable SLOs for production readiness Also enhances Step 3 (Architecture Design) to evaluate approaches against system design patterns and edge cases using marginal return of utility as a decision framework. Output Guidance updated with three new sections: System Design Patterns, Edge Cases & Test Expectations, and Operational Context.
This was referenced Jul 4, 2026
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Summary
Enhances the
code-architectagent in thefeature-devplugin with three new steps that bridge the gap between high-level system design and codebase-specific architecture.Changes
Step 0: System Design Pattern Analysis (new)
Before examining codebase-specific patterns, identify 2-3 relevant system design patterns (event-driven, CQRS, circuit breaker, cache-aside, saga, etc.) and describe how each applies to the feature requirements, expected load profile, and failure modes. Grounded in established industry references (Google SRE, AWS Well-Architected Framework, microservices.io).
Step 2: Edge Cases & Test Expectations (new)
Enumerate 10-15 edge cases with expected behavior and performance characteristics. Each edge case is mapped to a system design pattern from Step 0. Prioritized by marginal return of utility: focus on cases where additional handling yields high value relative to implementation cost, and flag cases where further handling yields diminishing returns.
Step 5: Operational Context (new)
Specify key logging points, metrics to emit, alerting thresholds, and applicable SLOs (e.g., p99 latency, error rate budgets). References industry-standard observability patterns.
Step 3: Architecture Design (enhanced)
Now evaluates the chosen approach against system design patterns and edge cases from Steps 0 and 2. Uses marginal return of utility as a decision framework: prefer the approach that maximizes value per line of code and operational complexity.
Output Guidance (updated)
Three new sections added: System Design Patterns, Edge Cases & Test Expectations, and Operational Context.
Motivation
The current
code-architectagent jumps directly from codebase pattern analysis to architecture design. This means:These additions align with the existing
feature-devphilosophy of "understand before acting" and "design thoughtfully before implementing" but extend it to system design and production readiness.Test plan
code-architectagent triggers correctly with/feature-devcommand