frameworks▌

Comprehensive guide for building modern full-stack web applications using Next.js, Turborepo, and RemixIcon.

A reference guide to help you select and apply the right prioritization framework for your context.

Production patterns for implementing data quality with Great Expectations, dbt tests, and data contracts to ensure reliable data pipelines.

Validate data pipelines with Great Expectations, dbt tests, and data contracts. \n \n Covers three complementary frameworks: Great Expectations for statistical and schema validation, dbt tests for transformation layer checks, and data contracts for cross-team data agreements \n Includes six core quality dimensions (completeness, uniqueness, validity, accuracy, consistency, timeliness) with ready-to-use expectation patterns and custom test examples \n Provides checkpoint automation for CI/CD inte

Robust backtesting systems that avoid look-ahead bias, survivorship bias, and overfitting. \n \n Event-driven and vectorized backtester implementations with realistic transaction cost modeling, slippage, and commission handling \n Walk-forward optimization and Monte Carlo simulation for strategy robustness testing across multiple time windows \n Comprehensive performance metrics including Sharpe, Sortino, Calmar ratios, drawdown analysis, and win-rate calculations \n Point-in-time data handling,

Go provides exceptional HTTP capabilities starting with the standard library's net/http package. Go 1.22+ introduced enhanced pattern routing in ServeMux, making stdlib viable for many applications. For more complex needs, frameworks like Chi, Gin, Echo, and Fiber offer additional features while maintaining Go's simplicity and performance.

$20

Apply when writing or reviewing GSAP code in Vue (or Nuxt), Svelte (or SvelteKit), or other component frameworks that use a lifecycle (mounted/unmounted). For React specifically, use gsap-react (useGSAP hook, gsap.context()).