Deep dives into backend architecture, distributed systems, AI integration, and the hard-won lessons from building production systems at scale.
How I built Gravity OS — a local-first AI operating layer that runs multiple LLMs offline via Ollama, with structured agent collaboration and zero cloud dependency.
A deep dive into building an event-driven integration layer using Spring Boot and Kafka to bridge FLEXCUBE SOAP APIs with modern microservices — processing millions in daily transactions at 99.9% uptime.
Production patterns for building API gateways that gracefully handle traffic spikes, cascade failures, and provide full observability — with code examples in Node.js and Spring Boot.
Complete guide to setting up a fully offline AI development environment — no API keys, no cloud costs, full data privacy. Covers model management, quantization, and agent orchestration patterns.
Implementing event sourcing and CQRS with Kafka and Spring Boot for audit-critical financial workflows. Covers event store design, snapshot strategies, and replay mechanisms.
Want to discuss any of these topics? I'm always open to technical conversations.
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