17 posts · page 1 of 1
Production-ready Airflow patterns covering DAG design, performance optimization, monitoring, testing, deployment strategies, and comparison with alternatives.
Implement robust error handling in GraphQL using error extensions, union-based result types, and structured error responses.
Master the AWS Well-Architected Framework's five pillars: operational excellence, security, reliability, performance efficiency, and cost optimization.
Learn the TDD workflow with real examples in Python and JavaScript. Covers red-green-refactor, when TDD works best, and how to handle common challenges.
Build fast, reliable CI/CD pipelines — parallel stages, caching, fast feedback, trunk-based development, and deployment automation patterns.
Learn the most useful JavaScript design patterns with practical examples including Singleton, Observer, Factory, Strategy, and more for cleaner code.
Master ENTRYPOINT vs CMD, entrypoint scripts, signal handling, and init processes to build containers that start and stop reliably.
Master GraphQL schema design with practical patterns for naming, nullability, input types, enums, and evolving schemas without versioning.
Master JavaScript error handling with custom error classes, async error patterns, Result types, error boundaries, and strategies for robust production code.
Master pytest fixtures, parametrize, monkeypatch, and custom markers to write maintainable, expressive tests for production Python code.
Learn when snapshot tests help, when they hurt, and how to use them effectively in React, API, and configuration testing.
Master Go error wrapping with fmt.Errorf %w, errors.Is, errors.As, and custom error types for clear, debuggable error chains.
Write clear, maintainable Go tests using table-driven patterns, test helpers, subtests, and cleanup functions.
Use C++ namespaces to organize code: nested namespaces, anonymous namespaces, using-declarations, and why using namespace std is dangerous in headers.
Clear rules for using checked and unchecked exceptions in Java, with patterns for wrapping, logging, and propagating errors in real production code.
Use Java's Optional type correctly: when to return it, when to avoid it, and how to chain operations safely without ever calling get().
A field guide to the most common prompt engineering anti-patterns, why they degrade LLM output quality, and concrete refactors that fix each one.