architecture▌

MVVM architecture for Flutter apps with unidirectional data flow and strict layer separation. \n \n Implements three-layer architecture: Data Layer (Services and Repositories), Domain Layer (UseCases for complex logic), and UI Layer (ViewModels and Views) \n Uses provider for dependency injection and ListenableBuilder for reactive UI updates with the Command pattern for user interactions \n Enforces unidirectional data flow: data flows down from Repositories to ViewModels to Views; events flow u

Architectural guidance for scalable Flutter apps using MVVM, layered design, and feature-first organization. \n \n Supports two project structures: feature-first (recommended for teams and medium-to-large apps) and layer-first (for smaller apps or solo developers) \n Defines three core layers: UI (Views and ViewModels), Data (Repositories and Services), and optional Domain (Use-cases) \n Covers key design patterns including Command Pattern, Result Type for error handling, Repository Pattern, and

Analyze, audit, and improve project structure.

Plan and optimize your website's page hierarchy, navigation, URL structure, and internal linking. \n \n Provides page hierarchy templates for six site types (SaaS, content, e-commerce, documentation, hybrid, small business) with typical depth and URL patterns \n Includes navigation design rules (header nav limits, dropdown organization, breadcrumb implementation) and URL structure principles (human-readable slugs, hierarchy alignment, redirect strategies) \n Delivers structured output: ASCII tre

Document significant technical decisions with structured context, rationale, and consequences. \n \n Provides five template formats (standard MADR, lightweight, Y-statement, deprecation, RFC-style) covering different decision complexity levels and team preferences \n Includes lifecycle management patterns for proposed, accepted, deprecated, and superseded decisions with clear status tracking \n Offers directory structure, indexing strategies, and automation tools (adr-tools) for maintaining ADR

Build sophisticated LLM applications with LangChain 1.x and LangGraph for agents, memory, and tool integration. \n \n LangGraph provides the standard agent framework with StateGraph for explicit state management, durable execution, human-in-the-loop inspection, and checkpointing across sessions \n Supports ReAct agents, plan-and-execute workflows, multi-agent supervision, and structured tool invocation with Pydantic schemas \n Memory systems include ConversationBufferMemory, ConversationSummaryM

Route through domain routers before using individual tools. Routers abstract tool selection.

Decision framework and service comparison patterns for architecting across AWS, Azure, GCP, and OCI. \n \n Includes detailed service mapping tables across compute, storage, and database categories to identify equivalent offerings and best-of-breed selections \n Four core multi-cloud patterns: single provider with disaster recovery, best-of-breed service selection, geographic distribution, and cloud-agnostic abstraction layers \n Cloud-agnostic alternatives using Kubernetes, PostgreSQL, Apache Ka