
Discover how testing can improve software design, find architectural flaws, and lead to better solutions. Learn to leverage testing for faster, higher-quality software development.

Explore how Java's Record Types enhance domain modeling, focusing on value objects, immutability, and efficient data handling for cleaner, more expressive code.

Explore a practical approach to combining Clean Architecture and Test Pyramid theories in software development, with insights applicable across technologies.

Explore extensible Python coding techniques to create robust, maintainable software. Learn patterns for composable code, event-driven architectures, and pluggable systems to extend functionality without modifying existing code.

Explore minimalist software design, challenging dogmatic practices and emphasizing intentionality for more maintainable, human-friendly applications.

Humorous exploration of common microservice pitfalls, offering insights on distributed system challenges through satirical "worst practices" advice.

Explore the balance between rapid development and performance optimization, challenging premature optimization and encouraging pragmatic approaches to software delivery.

Explore Project Orleans for actor-based development, solving complex scenarios like real-time tracking and IoT. Learn practical implementation through demos and code examples.

Explore managing polarities in software design, balancing collaborative modeling and coding. Learn to identify and manage polarities using Barry Johnson's Polarity Mapping for effective decision-making in software development.

Learn to build resilient, scalable serverless applications using SOLID principles and Azure Functions. Explore architecture, infrastructure, and hardening techniques for robust, maintainable systems with unbounded scalability.

Discover simplified automated testing with Clean Architecture in .NET Core. Learn about unit, integration, and subcutaneous tests, tools, frameworks, and where to focus your efforts for effective testing.

Explore software design lessons from the Ariane 5 rocket failure, examining testing, validation, and security principles to prevent catastrophic system failures in critical applications.

Discover common antipatterns in Observability practices and learn effective strategies to avoid system overload, optimize metrics collection, and improve monitoring efficiency in production environments.

Discover strategies to minimize technical debt in cloud-native environments through standards and loose coupling, focusing on sustainable development practices and long-term project success.

Explore how network protocol choices in microservices architecture impact system performance, reliability, and troubleshooting across application, transport, and system layers, with practical insights for optimization.

Explore object capabilities in programming languages, focusing on security, encapsulation, and access control mechanisms for robust software design.

Explore techniques to make illegal states unrepresentable in code, reducing bugs and improving comprehension. Learn to apply this principle in functional programming for more robust software design.

Optimize Elixir project recompilation by understanding dependencies, cycles, and bottlenecks. Learn to leverage Elixir tools for improved application design and faster build times.

Explore MongooseIM's evolution, Erlang design patterns, and reusable libraries extracted from this open-source messaging server. Learn about scalable architecture and community-driven development.

Explore probabilistic design-time modeling for real-time distributed systems, focusing on functional programming principles to ensure quality and performance in complex software architectures.

Transform Elixir umbrella monoliths into scalable microservices using built-in Erlang and Elixir mechanisms. Learn a step-by-step approach with practical code examples for efficient distributed architecture.