Every week there’s a new model drop. A new leaderboard shakeup. A new Twitter thread declaring that this one finally writes code that doesn’t make you want to close your laptop and take a long walk. And every week, engineers jump ship to the latest thing, hoping this time their AI coding assistant will stop mangling indentation, forgetting imports, or hallucinating function signatures.
But what if the problem was never the model?
(more…)Engineers live in a world of precision. A circuit is either open or closed.
A test either passes or fails. Code compiles, or it doesn’t. This binary clarity is what draws many of us to the craft in the first place – the comfort of knowing that problems have definitive answers, and that with enough rigor, you can find them.
(more…)I’ve spent countless hours doing what engineers euphemistically call “investigations”, the tedious process of tracing through logs, correlating data across systems, and trying to figure out why something broke. It’s detective work, and it’s expensive.
Recently, I’ve been exploring how to build an AI investigation agent that can automate this process. Not a chatbot that summarizes data, but a genuine investigative system that follows evidence, tests hypotheses, and produces actionable root cause analysis at scale.
(more…)What I learned about AI-assisted development fom building a production service in 83 days
After 14 years of writing code professionally, I thought I had a pretty good handle on what “moving fast” meant in software development. I’ve shipped features under impossible deadlines, refactored legacy systems while they were running in production, and led teams through the chaos of hypergrowth. I thought I’d seen it all.
(more…)Why getting an LLM to produce readable text requires way more than clever prompts
Here’s a dirty secret about working with large language models: the hard part isn’t crafting the perfect prompt. It’s building the infrastructure around the model to make it behave consistently. I spend my nights wrestling with JSON schemas and muttering about data pipelines, not dreaming up magic incantations.
(more…)Generative AI in software engineering is not about replacing engineers, it’s about redefining where human judgment and accountability must remain.
The tech industry is buzzing with excitement about generative AI. Bold claims are flying everywhere from executives boasting that 30% of their code is AI-written to predictions that AI models will soon “join the workforce” as full-fledged engineers.
(more…)A practical guide to building a modular monolith without losing the ability to scale back in a Spring Cloud powered stack
Here’s an irony for you: everyone talks about migrating from monolith to microservices. The entire industry narrative flows in one direction. In fact, when I was searching for images for this post, every single diagram showed monolith → microservices. Not a single arrow pointed the other way.
But sometimes the right move is consolidation. Building a modular monolith is a reality people are often hesitant to discuss publicly, thanks to years of microservices hype.
When we were running 15 microservices, it sounded like good architecture on paper. In practice, it was burning through our budget and adding complexity we didn’t need.
(more…)A practical guide from 14 years of building systems that grow
There are a lot of courses lectured in universities, but only a few of them try to teach real-world problems like designing scalable software architecture, secure coding, and other practical challenges that engineers face daily. I always wanted to write something about these kinds of problems I’ve faced throughout my career, and I think the time has come to put pen to paper. I hope this proves beneficial for anyone looking for practical, experience-based knowledge.
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Ödemeli edinim ile büyümenin bir sonucu olarak, maliyet artışını beraberinde getiren 4 trend görüyoruz:
Bu trendleri ayrı başlıklarda inceleyelim. (more…)
Bir girişim oluşturmanın maliyeti, büyüme maliyetlerine oranla gittikçe daha ekonomik bir hal alıyor. Günün imkanlarını değerlendirdiğimizde, pek çok katmanda ekonomik seçenekler var: