Assesses code and architecture against the Software Engineer by RN competency matrix. Use when evaluating code quality, reviewing technical decisions, identifying skill gaps, or recommending learning paths. Covers databases, security, architecture, testing, performance, CI/CD, observability, and cloud infrastructure competencies.

Reviews code, architecture, and data flows for legal and regulatory compliance. Use proactively when handling user data, integrating third-party services, choosing open-source licenses, processing payments, storing health records, or operating in regulated industries. Checks GDPR, CCPA, HIPAA, PCI DSS, SOX, PSD2, ADA, open-source license compatibility, data residency, and IP concerns. Flags violations and provides remediation guidance.

Assesses code and architecture against the Software Engineer by RN competency matrix. Use when evaluating code quality, reviewing technical decisions, identifying skill gaps, or recommending learning paths. Covers databases, security, architecture, testing, performance, CI/CD, observability, and cloud infrastructure competencies.

Reviews code, architecture, and data flows for legal and regulatory compliance. Use proactively when handling user data, integrating third-party services, choosing open-source licenses, processing payments, storing health records, or operating in regulated industries. Checks GDPR, CCPA, HIPAA, PCI DSS, SOX, PSD2, ADA, open-source license compatibility, data residency, and IP concerns. Flags violations and provides remediation guidance.

Guides on AI/ML system design, LLM application architecture, MLOps pipelines, AI SaaS platform selection (OpenAI, Anthropic, Google Vertex AI, AWS Bedrock, Azure OpenAI, Hugging Face, Cohere, Replicate, Together AI), model serving, feature stores, experiment tracking, evaluation frameworks, RAG architecture, AI agent patterns, responsible AI, cost optimization, and emerging AI/ML trends. Use when designing AI systems, selecting AI providers, building LLM applications, setting up MLOps, or evaluating AI architecture patterns.

Designs REST, GraphQL, gRPC, tRPC, WebSocket, SSE, and AsyncAPI/event-driven APIs. Covers OpenAPI 3.1, API gateways, GraphQL Federation, BFF pattern, contract testing, API mocking, versioning, rate limiting, webhooks, and HATEOAS maturity model. Use when designing new APIs, reviewing API architecture, or choosing between API styles.

Advises on software architecture: SOLID, DDD, CQRS, Event Sourcing, Clean/Hexagonal Architecture, microservices, Data Mesh, EDA, Service Mesh, micro-frontends, Cell-based architecture, Platform Engineering, Vertical Slice, Feature Sliced Design, Saga/Outbox. Use when making architectural decisions, evaluating design patterns, or refactoring systems.

Designs CI/CD pipelines with build, test, and deploy stages, blue-green/canary/rolling deployments, feature flags, artifact management, and environment promotion strategies. Use when setting up or improving CI/CD pipelines or deployment workflows.

Guides on cloud services: AWS, GCP, Azure service selection, multi-cloud strategies, serverless vs container trade-offs, managed vs self-hosted decisions, and cost optimization. Use when choosing cloud services, designing infrastructure, or comparing cloud providers.

Performs code reviews against quality criteria: readability, maintainability, correctness, security, performance, test coverage, naming conventions, and documentation. Use when reviewing pull requests, auditing code quality, or establishing review standards.

Advises on database selection, schema design, indexing, query optimization, and migration. Covers SQL, NoSQL, Graph, Columnar, Key-Value, Time Series, NewSQL, Vector, Serverless, Data Warehouse, Embedded, Multi-Model, Streaming, and Decentralized databases. 100+ database technologies including PostgreSQL, MySQL, MongoDB, Redis, Kafka, Neo4j, Cassandra, ClickHouse, DynamoDB, CockroachDB, Pinecone, Snowflake, and ORMs (Prisma, Drizzle, SQLAlchemy, GORM, Diesel, EF Core, Hibernate). Use when selecting databases, designing schemas, optimizing queries, or planning migrations.

Sets up observability: structured logging, metrics collection, distributed tracing, alerting rules, dashboard design, SLI/SLO/SLA definition. Covers ELK, Prometheus, Grafana, Datadog, OpenTelemetry. Use when implementing monitoring, debugging production issues, or designing observability architecture.

Guides on performance including profiling (CPU, memory, I/O), caching layers (CDN, application, database), connection pooling, lazy loading, code splitting, database query optimization, and load balancing. Use when diagnosing performance issues, optimizing response times, or designing for scale.

Guides on application security: OWASP Top 10, authentication/authorization patterns (OAuth2/OIDC/JWT/RBAC/ABAC/ReBAC), encryption, passkeys/WebAuthn/FIDO2, Zero Trust, SAST/DAST/SCA scanning, WAF, SIEM, supply chain security, compliance frameworks. Use when implementing authentication, handling sensitive data, reviewing security posture, or designing secure architectures.

Provides testing strategies including test pyramid, TDD/BDD, unit/integration/E2E patterns, mocking strategies, test data factories, snapshot testing, and mutation testing. Use when designing test strategies, writing tests, or improving test coverage.