Building Production-Ready AI Systems with LLM Integration
Best practices for integrating large language models into production systems while managing costs, latency, and reliability.
Articles and best practices on AI, Go, Rust, PHP, and modern software engineering
Best practices for integrating large language models into production systems while managing costs, latency, and reliability.
Comparative analysis of Go and Rust for building scalable microservices, covering concurrency models, memory usage, and deployment considerations.
Understanding Rust's ownership model, borrow checker, and how these concepts prevent entire classes of bugs at compile time.
Refactoring legacy PHP codebases with modern architectural patterns, testing strategies, and zero-downtime migration techniques.
Exploring goroutines, channels, and synchronization primitives to build high-concurrency REST and gRPC APIs that handle millions of requests.
Building complete applications with JavaScript/Node.js backend, exploring database design, API architecture, and deployment strategies.
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