The post introduces the concept of semantic coupling as an innovative method to manage schema evolution in event-driven architectures, replacing traditional schema coupling. By using semantic tags instead of versioning or altering event schemas, it allows consumers to focus on the meaning of data rather than its representation. This approach prevents breaking changes and eliminates the need for event versioning, encouraging smoother schema transitions. Tools like Orbital and Taxi can facilitate these transformations by decoupling the data representation from consumers

Vibe coding, where developers use AI to build entire applications without writing code themselves, is creating a generation of pseudo-developers who lack fundamental programming skills. Research shows AI tools actually decrease productivity by 19% for experienced developers, while security vulnerabilities plague AI-generated code. Junior developers using this approach become dependent on AI for debugging and maintenance, making them less competitive in an already brutal job market where 94,000 tech workers have been laid off. The practice creates massive technical debt and prevents skill development, ultimately harming career prospects rather than helping them.

WhatsApp manages to handle nearly 40 billion daily messages by utilizing a robust backend architecture with simplicity, asynchronicity, and isolation at its core. Erlang is pivotal, offering lightweight concurrency, fault isolation, and efficient message routing. The architecture benefits from smart partitioning, resiliency under failures, seamless upgrades, and focused quality control, all managed by a small engineering team. Database design favors speed with in-memory key-value stores and async writes, while backend systems are structurally isolated to ensure reliability.