patterns▌

Structured decision-making framework for selecting and designing APIs across REST, GraphQL, and tRPC patterns. \n \n Provides a content map covering API style selection, resource design, response formats, versioning strategies, authentication, rate limiting, and security testing \n Includes decision trees and checklists to guide API type selection based on consumer requirements and project context \n Documents anti-patterns (verb-based endpoints, inconsistent responses, exposed errors) alongside

Structured logging for TypeScript/JavaScript with framework-agnostic setup, wide events, and drain adapters. \n \n Supports 12+ frameworks: Nuxt, Next.js, SvelteKit, Nitro, TanStack Start, NestJS, Express, Hono, Fastify, Elysia, Cloudflare Workers, and standalone TypeScript \n Detects and refactors console.log spam and unstructured errors into self-documenting wide events with grouped context \n Includes drain adapters for Axiom, OTLP, PostHog, Sentry, Better Stack, and file system; supports bat

Framework selection, async patterns, type hints, and project structure decisions for Python development. \n \n Covers framework selection (FastAPI, Django, Flask) with decision trees based on project type, async requirements, and team context \n Teaches async vs sync decision-making for I/O-bound and CPU-bound workloads, with library recommendations for common async operations \n Includes type hint strategy, Pydantic validation patterns, and project structure templates from simple scripts to lar

Production-grade Laravel architecture patterns for scalable, maintainable applications.

Idiomatic Rust patterns and best practices for building safe, performant, and maintainable applications.

Battle-tested Mapbox style patterns and layer configurations for six common mapping scenarios. \n \n Includes ready-to-use JSON layer configurations for restaurant finders, real estate, data visualization, navigation, dark mode, and delivery/logistics maps \n Provides decision tree for selecting the right pattern based on content type, environment, user action, and platform \n Covers performance optimization techniques including zoom-based filtering, data-driven styling, and clustering for dense

Modern React UI patterns for loading states, error handling, and data fetching. \n \n Covers five core principles: never show stale UI, always surface errors, use optimistic updates, progressive disclosure, and graceful degradation \n Provides decision trees and component patterns for loading indicators, skeleton screens, error states, empty states, and button submission handling \n Includes critical anti-patterns to avoid, such as showing spinners when cached data exists, silently swallowing er

Comprehensive patterns for database access with JetBrains Exposed ORM, including DSL queries, DAO, transactions, and production-ready configuration.

Production-ready patterns for Apache Airflow including DAG design, operators, sensors, testing, and deployment strategies.

Idiomatic Perl 5.36+ patterns and best practices for building robust, maintainable applications.