Rust’s Flexibility vs. Go’s Simplicity
Programming languages often reflect a trade-off between flexibility and simplicity. Go’s strict conventions enable clarity, but Rust’s expressive power invites experimentation—sometimes at the cost of cohesion. After wrestling with Rust’s lack of idiomatic guardrails, I’ve come to appreciate its strengths while imposing my own structure. This article unpacks that journey, from macro complexities to iterator debates, and why a curated approach might be the key to harnessing Rust’s potential.
Optimizing Go Memory Management for Performance
In concurrent Go applications, memory allocation patterns often dictate performance. While goroutines are lightweight, the garbage collector introduces unpredictable overhead—especially when managing millions of objects. I benchmarked three approaches: standard heap allocation, manual memory pools, and OS-level VirtualAlloc. The results reveal a clear winner, but the nuances matter: pointer-free designs and strategic pooling can near C-like speeds. Let’s dissect the trade-offs.
Reflections on My Technical Writing Journey
Technical ideas often emerge at the intersection of current trends and perennial challenges. Over these past months, my writing has explored this space - examining everything from cutting-edge web capabilities to fundamental architectural choices. Some articles respond to new developments, while others revisit established practices with fresh perspectives. What connects them is a shared focus on practical solutions grounded in solid engineering principles, regardless of when those questions first appeared in our field.
Generics in Go:
Tradeoffs and Alternatives
When Go introduced generics three years ago, it marked a turning point for type safety without runtime overhead. Yet as a language designed for simplicity, its implementation deliberately lacks some features found in Rust or TypeScript. In this article, I examine how Go’s generics compare to these alternatives, when to use interfaces instead, and why code generation tools like sqlc sometimes outperform them all. The choice isn’t about ‘best’—it’s about aligning solutions with specific needs while honoring Go’s philosophy.
Revisiting Technology Choices in Modern Development
In software development, the tools we choose today might not serve us tomorrow. New languages emerge, ecosystems evolve, and yesterday’s 'best practice' becomes tomorrow’s technical debt. Yet too often, we treat technology decisions as permanent—ignoring how quickly the landscape shifts. This isn’t about chasing trends, but about recognizing when a choice no longer fits our needs. Through the lens of Go’s simplicity, Rust’s safety, Zig’s potential, and TypeScript’s compromises, let’s examine how to balance conviction with adaptability in our tech stack.