Search Results

Software architecture specialist for system design, scalability, and technical decision-making. Use when planning new features, refactoring large systems, or making architectural decisions.

Flutter and Dart code reviewer. Reviews widget best practices, state management patterns, Dart idioms, performance pitfalls, accessibility, and clean architecture violations. Library-agnostic.

Expert Java and Spring Boot code reviewer specializing in layered architecture, JPA patterns, security, and concurrency.

Kotlin and Android/KMP code reviewer. Reviews idiomatic patterns, coroutine safety, Compose best practices, clean architecture violations, and common Android pitfalls.

Use when the user asks to design multi-agent systems, create agent architectures, define agent communication patterns, or build autonomous agent workflows.

Clean Architecture for Android and KMP: module structure, dependency rules, UseCases, Repositories, and data layer patterns.

Autonomous agent loop architectures from simple to complex: sequential pipelines, infinite agentic loops with quality gates, continuous PR loops with CI gates, de-sloppify cleanup passes, and RFC-driven multi-agent DAG orchestration with merge queues.

Design AWS architectures for startups using serverless patterns and IaC templates. Use when asked to design serverless architecture, create CloudFormation templates, optimize AWS costs, set up CI/CD pipelines, or migrate to AWS. Covers Lambda, API Gateway, DynamoDB, ECS, Aurora, and cost optimization.

Design Azure architectures for startups and enterprises. Use when asked to design Azure infrastructure, create Bicep/ARM templates, optimize Azure costs, set up Azure DevOps pipelines, or migrate to Azure. Covers AKS, App Service, Azure Functions, Cosmos DB, and cost optimization.

Backend architecture patterns: repository/service/controller layers, database query optimization, Redis caching, background jobs, middleware chains, and structured error handling.

/cs:cdo-review <plan> — Decision-driven Chief Data Officer interrogation of any plan that touches training data, data architecture, data productization, or data team hiring.

Chief Data Officer advisory for startups: AI training data rights and consent provenance, data product strategy (warehouse vs lakehouse vs mesh, build-vs-buy), B2B customer-data-as-asset valuation and M&A readiness, data team org evolution. Use when deciding whether to train models on customer data, choosing data architecture, valuing data for fundraising or M&A, sequencing data hires, or when user mentions CDO, chief data officer, data strategy, data mesh, lakehouse, training data, data prod...

Analyze an unfamiliar codebase and generate a structured onboarding guide: architecture map, key entry points, naming conventions, dependency graph, and a starter CLAUDE.md for AI-assisted development.

Django architecture patterns: REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.

Library-agnostic Flutter/Dart code review checklist: widget best practices, state management patterns across BLoC/Riverpod/Provider/GetX, Dart idioms, performance optimization, accessibility, security, and clean architecture.

Laravel architecture patterns: routing, controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.

MCP server construction with Node/TypeScript SDK: tool registration with Zod validation, resource and prompt handlers, stdio vs Streamable HTTP transport selection, and transport-independent server architecture.

PyTorch patterns: training pipelines, model architectures, data loading, mixed precision, distributed training, and reproducibility best practices.

Technical sales support covering demo preparation, POC design, technical objection handling, solution architecture diagrams, and competitive differentiation.

Spring Boot architecture: REST API design, layered services, data access, caching, async processing, and logging for Java backend services.

SwiftUI architecture: state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.

Module structure, UseCases, Repositories

Sequential to DAG orchestration architectures

Repository/service/controller layers and DB optimization

Auto-generate architecture maps and onboarding guides