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24 articles
Use TypeScript template literal types to encode event names, route patterns, and permission sets directly into your type system — no runtime checks, no string drift.
Soft deletes look like a simple safety net, but they silently corrupt your schema, poison your queries, and break your constraints — here's what to use instead.
TypeScript's satisfies operator validates that a value matches a type while preserving literal inference — here's why that distinction matters and where to apply it.
Replace Node's stringly-typed EventEmitter with a generic typed alternative that catches event name typos and payload mismatches at compile time.
N+1 isn't an ORM problem — learn how to implement the DataLoader batching pattern in TypeScript to collapse redundant data fetches across any data source, including microservices.
Eliminate a whole class of runtime bugs by teaching TypeScript's type system the difference between a UserId and an OrderId — even when both are strings under the hood.
Stop bolting middleware onto frameworks and start building type-safe, composable pipeline primitives you can test in isolation and reason about at a glance.
TypeScript's type system stops at compile time — Zod closes the gap by validating data at the runtime boundaries where it actually matters.
Server Actions bring form handling and mutations back to the server in Next.js — here's how to use them well, what to avoid, and how to build patterns that scale.
Move beyond try-catch soup: discriminated unions, Result types, and error boundaries that make TypeScript codebases more reliable and maintainable.
Advanced TypeScript patterns I rely on daily — discriminated unions, branded types, the builder pattern, and utility types that make large codebases safer and more maintainable.
Apply the strangler fig pattern to incrementally replace legacy systems with modern architectures using practical examples of route-based migration, feature flags, data synchronization, and rollback strategies that keep production running throughout.
Systematic prompt engineering patterns for production LLM applications including structured output extraction, chain-of-thought reasoning, few-shot calibration, prompt versioning, and automated evaluation pipelines.
Implement clean architecture patterns that separate business logic from infrastructure concerns, making applications testable, maintainable, and adaptable to changing requirements or technology choices.
How to design custom React hooks that are truly reusable — covering composition patterns, testing strategies, state encapsulation, and common anti-patterns to avoid.
A practical guide to event sourcing — when to use it, how to implement event stores, build projections, handle schema evolution, and avoid common pitfalls.
How API gateways handle routing, authentication, rate limiting, and response aggregation — with patterns for building or choosing the right gateway for your architecture.
Practical functional programming patterns for TypeScript that improve code clarity without requiring a complete paradigm shift.
A practical guide to TypeScript generics that takes you from basic type parameters to advanced conditional types and utility patterns.
A practical reference for the regular expression patterns you'll actually use in daily development, from validation to parsing to search-and-replace.
Custom hooks, composition patterns, and the rules that govern them — practical React hooks patterns for managing complex state and side effects without class components.
When a downstream service is failing, continuing to send requests makes everything worse — the circuit breaker pattern stops the cascade by failing fast.
Command Query Responsibility Segregation uses different models for reading and writing data — here's when it solves real problems and when it's unnecessary complexity.
Dependency injection doesn't require a framework or decorators — here's how to apply it in TypeScript with simple patterns that make code testable and flexible.