Articles and webinars

AI has already changed the way we write code. But can it help ensure that code is actually good? I'm not talking about writing automation tests, that's a given. I'm talking about agents that actively analyse code, point out problems, and offer actionable feedback. After a year of experimenting with QA agents, here are some lessons learned the hard way.

Humans are still the number one bottleneck in software development. Even if AI generates code automatically in the background based on tickets, someone still needs to write those tickets. Someone still needs to validate and test the results. But do we really need to check every line of code manually? Or could we start trusting parts of it?

Conventional wisdom holds that AI-enhanced development raises maintenance costs. You know... with glued-on copy-paste code that nobody understands and such. And I've seen that it can be so.

Fluentia, which has enjoyed strong growth in recent years, strengthens its position by adding data house Valensis to its family of companies. Together, the companies will provide customers with intelligent and comprehensive digital solutions that connect systems, data and artificial intelligence to support business growth and transformation.

Updating systems is an unavoidable expense, but also an opportunity to improve efficiency and strengthen competitiveness. The key question is whether to replace the system with a new one or to modernize the old one. Building a new system is often expensive and slow, and modernization hasn't been much simpler before. Artificial intelligence is changing this: it can make modernization faster, more accurate and more cost-effective. In this blog, we will discuss the role of AI in software modernization.

We are a certified AI 1000: Growth from AI training partner. As part of a programme coordinated by AI Finland, we offer tailored training for business leaders and governments to help Finnish organisations use AI as a strategic tool to boost growth, competitiveness and exports.