Insights, tutorials, and news from the world of software development.
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Semantic matching finds what fits — not what shares the same keywords. But a black-box ranking on a marketplace is a fairness and trust problem.
Smart manufacturing is not a moonshot. It is reading the ERP and MES data you already have to answer one expensive question earlier.
Whoever not only builds but operates their own software knows scaling, bugs, operations and pricing from experience — not from project sign-off.
Microservices for 50 users are not foresight but expensive ballast. How to plan architecture so it grows with the business — not with the hype.
A software project is not done at launch — that is when the clock starts. Unmaintained software becomes legacy on schedule.
Technical debt is not messy code but a measurable tax on every future change. Management can see the symptom without a single line of code.
Automated tests are not coverage vanity but the permission to change fast. The value is not in 100 percent but in the few expensive paths.
Not an AI strategy paper but a concrete week-by-week plan: who does what, which artefacts get produced, what decision lands on day 90 — and how to structure a pilot contract cleanly.
A concrete self-test with scoring: 12 questions on decision, data, ownership, regulation and measurability. At the end you know whether you are ready — or exactly where the real gap is.
Off-the-shelf software is fast and cheap — until it isn't. A sober decision framework for SMEs: when a standard product is enough, and when custom development is the cheaper risk.
GDPR compliance for AI is not a checkbox at the end but an architecture decision: data minimisation, purpose limitation, data processing agreements, EU hosting, deletability and human review — from the start.
An AI knowledge assistant is not a chatbot over your data. It is a controlled retrieval architecture with permissions, sources and human review. Here is how it is built right — and how it fails.