Blog
Practical advice on technology, development best practices, and digital strategy — based on what we've learned delivering projects since 2013.
Every serious AI feature eventually needs a vector store. A jargon-light guide to what vector databases do, how to choose one, and the operational details that decide whether yours holds up in production.
Retrieval-augmented generation is where most companies' first serious AI project lands — and where many get stuck. A practical guide to architecture, cost, security, and the mistakes that sink projects.
MCP is becoming the standard way to let AI assistants safely reach into the tools and data a business already runs. A practical, jargon-light guide to what it is, why it matters, and how to adopt it well.
A practical guide to combining a Next.js front end with a NestJS back end and a sensible service architecture — and where AI-assisted development genuinely helps versus where experienced judgement still decides.
AI can generate code faster than any human can type. That has changed what developers do, not whether you need them. An honest look at where experienced engineers add value when the machine writes the first draft.
AI now writes a large share of the code shipped to production. That has not reduced the need for quality assurance — it has changed its shape and raised the stakes. A practical look at testing AI-assisted software.
Explore the latest trends shaping web development in 2026, from AI-assisted coding to edge computing and beyond.
Discover how LangChain and LangGraph are enabling intelligent automation that goes far beyond traditional RPA.
Everything you need to know about building successful mobile apps, from choosing the right approach to launch and beyond.
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