PostgreSQL CDC often fails after WAL reading: snapshot handoff gaps, unsafe checkpoints, bad ordering, and retry logic can silently corrupt replicated data.
Learn the mistakes developers make and how to avoid them. Use AI to accelerate development without sacrificing code quality, architecture, and long-term maintainability.
Master SwiftUI state management. Learn the exact differences between EnvironmentObject, StateObject, ObservedObject, and the Observable macro in this guide.
Prevent prompt injection in AI agents: default to read-only, require human approval for changes, and authenticate every tool call with end-user zero-trust permissions.
Stop "talking" to LLMs and start engineering context flows. The shift from chatbot to system component requires moving from monolithic prompts to modular agentic skills.
Autoscaling isn’t real elasticity — it’s slow, reactive, and can mislead. Use demand metrics, keep warm capacity, and pair with circuit breakers & observability.
CI/CD-driven modernization of data platforms, improving release speed, observability, and reliability through automation, parallelization, and job-level telemetry.
AI won’t replace engineers—it shifts their role. It boosts speed but adds complexity, debt, and review cost. Advantage goes to those who use it critically.
Learn to transform Spring Boot REST APIs into an event-driven architecture by utilizing Kafka, RabbitMQ, or NATS to enhance scalability, resilience, and responsiveness.
AI + Agile boosts workflows via adaptability, retrospectives, and automation. Biggest gains come with human oversight, despite skills gaps and lack of standards.
Retry transient failures, route poison messages to a DLQ, and deduplicate with a DB table three layers that turn a fragile Kafka consumer into a fault tolerant one.