Web and App Development Blog

12/12/2025 - Development

RAG vs fine-tuning: what your enterprise AI project needs

You want an AI model to work with your company's data. Some say "fine-tuning," others say "RAG." In the RAG vs. fine-tuning debate, both seem interchangeable, but they solve very different problems. Choosing the wrong one not only costs money, it leaves you with a system that doesn't do what you need.

28/11/2025 - Development

Deploy without downtime: why your app shouldn't crash every time you update

Every time your team deploys a new version, there's a moment of uncertainty. Will it work? Will there be a crash? Deployment is still synonymous with risk for many teams, but it doesn't have to be. There are proven strategies for updating production applications without downtime. The key is choosing the right one.

14/11/2025 - Development

Generative AI, RAG and MCP: when the model needs to know about your company

A language model can draft contracts, summarize reports, and answer technical questions. But it doesn't know how much you billed last month or what your return policy says. For generative AI to be useful in a business context, it needs access to real-world data. RAG and MCP are two distinct approaches to solving that problem.

31/10/2025 - Development

Is your team paying off technical debt in every sprint?

Your team plans ten things and delivers six. Sprint after sprint. The developers are busy, but the product barely moves forward. When delivery slows down and no one can find a clear cause, it's most likely that technical debt is silently accumulating. The problem isn't how much your team works, but how much of that work is productive.

29/09/2025 - Development

Refactor or rewrite: the decision that can block your roadmap

Each new feature takes longer than it should. The team asks for time to "clean up." A point is reached where a decision must be made: refactor or rewrite? Both options carry real risks. Making the wrong choice is costly.

12/09/2025 - Development

Google Lighthouse: The errors that the scoring doesn't show you

Most teams run Google Lighthouse, glance at the score, and close the tab. But behind that number is a report that points to specific bugs affecting your users. The score is the headline. The details are the news.