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Digital engineering explained without hype
Architecture decisions, measured performance, practical security and a critical view of artificial intelligence.
Web application security: the basics almost no one does
Most incidents we see don't come from sophisticated attacks. They come from poorly written permissions, unvalidated input and secrets in the wrong place.
Read the articleDatabases: the modeling that sustains (or sinks) the product
Switching frameworks is an afternoon of work. Fixing a wrong data model after a year in production is an entire project.
Read the articleWell-designed APIs: contracts before code
An API is a public promise. Once someone integrates with it, every detail of the contract becomes a long-term commitment.
Read the articleDevOps in practice: continuous delivery without drama
Shipping should be the most boring part of the day. When shipping feels scary, the problem isn't the tool — it's the process.
Read the articleClean Code and SOLID without dogma: what to actually apply
Principles turned into memorized rules in many teams. Their value comes back when you remember what pain each one was born to avoid.
Read the articleI have an idea for a system. Now what? The road from idea to software
Most software projects don't fail for lack of technology. They fail by starting with the wrong screen, at the wrong time, solving a problem nobody confirmed exists.
Read the articleSoftware Engineering explained: far more than writing code
Programming produces instructions. Software Engineering keeps a system correct, secure, and modifiable for years, with several people working on it.
Read the articleSoftware Architecture explained: the decisions that are costly to change
Architecture is the set of decisions you don't want to redo two years from now. Getting them wrong doesn't block the launch — it blocks future evolution.
Read the articleCan I build my entire project using AI? An honest answer
AI already builds the first version of almost anything. The problem shows up in the second one: when you need to change, integrate, audit, and answer for decisions.
Read the articleWill AI replace developers? What's really changing
The right question isn't whether AI replaces developers, but which parts of the work it absorbs — and what remains most valuable for those who stay.
Read the articleThe hidden dangers of AI-generated code (and how to protect yourself)
AI-generated code rarely fails in a dramatic way. It fails quietly: it looks right, passes the happy path, and breaks where no one looked.
Read the articleAI agents in production: what actually changes in software engineering
Agent demos impress in five minutes. Keeping an agent running in production for six months is an engineering problem, not a prompt problem.
Read the articleCore Web Vitals in 2026: performance as a competitive advantage
Performance stopped being just a technical team's concern. It shows up in conversion rate, cost per lead and organic ranking, in that order.
Read the articleVertical SaaS: why niche software is beating generic tools
When every company has access to the same generic tool, the advantage shifts to whoever has software that understands its own process.
Read the articleWeb application security: the basics almost no one does
Most incidents we see don't come from sophisticated attacks. They come from poorly written permissions, unvalidated input and secrets in the wrong place.
Read the articleThe future of software: smaller teams, more demanding systems
Writing code got cheap. Deciding what to build, maintaining what exists, and being accountable for it is still expensive — and that's where the value sits.
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