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In most organizations, software still behaves like a bureaucrat with a laminated checklist. If the input doesn’t match a predefined rule, the system shrugs, pushes you into the else clause, and returns a sterile “cannot compute.” These rigid structures once made sense, simplicity was a survival strategy. But the world has grown messier, and our systems have not. Agentic AI marks a shift from…
In the ocean of artificial intelligence, there are the whales — OpenAI, Anthropic, the great leviathans of scale and compute — and then there are the sharks. The sharks are smaller, faster, purpose-built. They don’t dominate by mass but by motion: precision, agility, and the instinct to survive where the giants cannot turn quickly enough. Until recently, the gulf between whale and shark was…
When you turn a car key, or press a button on the dashboard, you don’t think about the compression ratios of cylinders, the synchronized timing of spark and fuel, or the cascade of sensors reporting data back to the onboard computer. You think: the car starts. That is abstraction. But notice: the complexity hasn’t vanished. It sits there humming under the hood, absolutely essential. If the timing…
Building AI agents with LangChain, or any agentic framework, starts innocently enough. You define a tool, give the agent access, perhaps wire in some prompts, and watch as it begins to reason and act. But then the complexity creeps in. Quickly, one realizes this is not software development in the classical sense. The metaphors of functions, classes, and control flow, which served faithfully for…
Since Lovable Launched its agent, in my opinion, is the turning point towards consistent value creation by Agentic AI. For prototyping ideas and merging product design and software in one entity is where it shines, but what about brown field scenarios in software development? When people talk about agentic AI, they tend to imagine a kind of digital colleague—capable, tireless, and…
We've all been there. The quarterly board meeting where "digital transformation" gets thrown around like confetti, followed by whispers of massive IT overhauls and million-dollar modernization projects. But here's the thing—application modernization doesn't have to be a moonshot. Start with Business Pain, Not Technology Hype Before you even think about containers, microservices, or whatever's…
What effectively changes with software development in the AI era, is that you are going to program with natural language instead of machine language. We made machine language somewhat easy to understand by humans through time (sixties until now-1) and is mandatory for people to understand and use for mundane tasks and software implementations. The understanding requirement part of mundane stuff…
In the agile universe, we constantly translate business needs into actionable work. Traditionally, this process unfolds through a clear hierarchy: Epics break down into Spikes, Spikes further unfold into Stories and (Sub-)Tasks. Each step refines abstraction into tangible work packages, providing engineering teams clarity and structure. Yet, solely relying on Epics and Stories to articulate…
The AI revolution, at the time of writing, didn’t arrive like an asteroid crept in like weather. Gradual, persistent, and deeply altering. We woke up one morning and it was here, everywhere: auto completing emails, filtering resumes, writing poetry, grading code, recommending products, forecasting churn. In boardrooms and bedrooms, AI became the silent co-pilot. The buzz was about intelligence.…
We’ve been sold a lot of reinvention in the past decade. Cloud-native architectures, Kubernetes-first everything, throw away the old and start clean. But reality is stubborn: enterprises have decades of investment in legacy systems, sprawling VM fleets, bespoke configurations—and yet they’re under pressure to “modernize” yesterday. The problem isn’t just technical. It’s economic. You can’t simply…
Most companies don’t aspire to build perfect DevOps or cloud engineering teams. They just want the problems solved, quickly, safely, and without hiring dozens of specialists. That’s where Internal Developer Platforms (IDPs) come in: a productized way to give developers self-service deployments, secure environments, and golden paths to production without reinventing the wheel. But IDPs aren’t for…
Most teams treat sovereign cloud like a logistics problem. Spin up a local region. Wrap it in compliance. Copy the infra. Move the data. Done. But this isn’t about copying and pasting your stack into a new jurisdiction. It’s about accepting a new reality: the cloud is no longer neutral ground. A new law, a new sanction, or a new interpretation of “access” can ripple through your architecture…
There’s a metaphor I keep coming back to when I think about modern cloud development: the vending machine. Think about it. When you walk up to a vending machine, you don’t wonder how it was stocked or who maintains it. You just press a button and get what you need. Fast, predictable, and (usually ;-)) reliable. That’s how the cloud should work. But for most teams, building in the cloud still feels…
2025 is all about Agentic AI. Organizations rushing to the digital riverbed for 'artificial' gold, only to find themselves observing others trying to yield the same value without the right knowledge and tools. While the (applied) technology has a lot of potential, generating business value out of it is still at very early stages. There are a lot of products who bring DIY Agentic AI capabilities,…