8+ years of experience building resilient systems with Go, Microservices, and Cloud Infrastructure. Currently focused on the intersection of scalable backend architecture and Production AI.
Distributed systems rarely fail in clean, obvious ways. They degrade. They stall. They partially succeed. They retry half a request, lose the response, and leave you wondering whether the operation happened once, twice, or not at all. In production, reliability is rarely about whether the code works on a happy path. It is about how the system behaves when dependencies are slow, networks are unreliable, and clients do not get a clear answer....
The software industry has a habit of celebrating novelty. New frameworks, new abstractions, new patterns, and new promises of developer productivity show up every few months. Production systems, however, rarely fail because they were not modern enough. They fail because they were difficult to reason about, fragile under stress, and painful to operate. Over time, I have become much less interested in clever backend services and much more interested in boring ones....
The Catalyst: When the Chatbox Became a Bottleneck For the last two years, the industry has been obsessed with the “perfect prompt.” We treated Large Language Models like oracle machines where the right magic words would yield the perfect JSON output. We leaned on “Prompt Engineering” to whisper to the models, hoping for consistency. However, in production-grade systems, hope is not an architectural strategy. The release of Gemini 3.1 Flash Live and the emergence of frameworks like Tezign GEA (Generative Enterprise Agent) over the last 48 hours have officially signaled the end of this era....
The “Context-Less” Error Problem It’s 2 AM. Your pager goes off. A microservice is failing in production, and the logs are flooded with a generic, unhelpful error: sql: no rows in result set or perhaps a vague unexpected EOF. You know what happened, but you have absolutely no idea where or why. Was it the payment gateway? The user profile fetch? Which user? Which transaction ID? You spend three grueling hours digging through distributed traces, cross-referencing timestamps across different services, just because the error didn’t carry enough context....
Repo: Neon on GitHub The Pursuit of Minimalism in Go Web APIs With the release of Go 1.22, the game changed for http.ServeMux. The standard library finally gained the routing power it deserved, leading to a fundamental question: Do we still need massive frameworks for modern microservices? The Engineering Stance: Neon isn’t a “love-hate” response to existing tools; it’s a technical challenge. Can we build a high-velocity developer experience without a 50MB dependency tree?...