1. Software Development

Provides architectural guidance for building node-based UIs with React Flow, covering state management, integration patterns, and use case evaluation.

Helps developers avoid common pitfalls and debug issues in PydanticAI agent implementations.

Reviews Python code for type safety, async patterns, error handling, and common mistakes in .py files.

Reviews shadcn/ui components for CVA patterns, asChild composition, accessibility, and data-slot usage in React code.

Reviews WidgetKit code for timeline management, view composition, configurable intents, and performance in Apple widget development.

Provides advanced React Flow patterns for complex diagram implementations including sub-flows, custom connections, and state synchronization.

Enables building interactive workflow visualizations with custom nodes, edges, and viewport control using the React Flow library.

Reviews iOS/macOS URLSession code for correctness in async patterns, error handling, and networking best practices.

Enables registration and implementation of Pydantic-based AI tools with context handling, type annotations, and docstrings for agent function calling.

Enables dependency injection for PydanticAI agents to manage external resources like database connections and API clients using RunContext and deps_type.

Reviews SwiftUI code for view composition, state management, performance, and accessibility in iOS/macOS apps.

Configures Tailwind CSS v4 with CSS-first approach, theme variables, OKLCH colors, and dark mode support.

Detects LLM-generated code artifacts including dead code, test issues, and verbose patterns to clean AI-assisted codebases.

Performs 12-Factor App compliance analysis on codebases to ensure cloud-native application architecture adheres to industry best practices.

Enables automatic hierarchical graph layout in React Flow applications using dagre, supporting tree structures and programmatic node arrangement.

Reviews React Flow code for anti-patterns, performance issues, and best practices in node-based UI implementations.

Reviews Go test code for proper table-driven tests, assertions, and coverage patterns in *_test.go files.

Reviews watchOS code for app lifecycle, complications, WatchConnectivity, and performance constraints using WatchKit and platform patterns.

Reviews Go code for proper Prometheus metric types, labels, and naming patterns using prometheus/client_golang.

Processes and verifies external code review feedback from LLMs, humans, or CI tools, ensuring technical accuracy before implementation and tracking resolution.

Builds node-based UIs with React Flow, covering nodes, edges, custom components, and state management for flow charts and diagrams.

Reviews Swift code for concurrency safety, error handling, memory management, and adherence to Swift best practices.

Provides best practices for unit and integration testing with Vitest, including configuration, mocking, and test coverage setup.

Reviews HealthKit code for authorization patterns, query usage, background delivery, and data type handling to ensure proper implementation.