MuleSoft | Read the latest blogs, news and views from Infomentum.

AI is changing how software gets built. AI can now handle many coding tasks much faster, opening up new possibilities for how teams work and what they can deliver. But writing code and engineering software aren't quite the same thing.

Behind every working application are decisions about architecture, integration, testing and maintenance. And as AI takes on more of the implementation work, those decisions don't disappear.

Welcome to the 11th (yes, 11th!) part of my blog series on MuleSoft's Anypoint Code Builder.

A lot has changed since I first started exploring the development environment. With every release, Anypoint Code Builder has become more capable and easier to navigate, helping developers spend less time searching through tricky projects and more time building, testing and improving integrations.

Writing MUnit tests is something I do regularly as part of my MuleSoft development work, and like many engineers, I'm always looking for ways to work more efficiently without cutting corners. So when AI-powered features started making their way into the MuleSoft ecosystem, I was genuinely curious to see what they could do in practice. Test creation felt like the natural place to start, as it's a workflow I know well, which meant I could quickly spot where the tooling added value and where it still needed work.

One of those tools is the MuleSoft Dev Agent, which introduces a new way to create tests, using natural language prompts to generate MUnit tests directly from your MuleSoft projects. So in this walkthrough, we put the Dev Agent straight to work on a simple Hello World API and see how far it can take us, from generating MUnit tests in seconds to revealing where it really adds value.

Every public sector leader I speak to wants to unlock the promise of artificial intelligence (AI). The ambition is clear: to deliver services faster, give staff back precious time, and improve experiences for citizens. The challenge is that budgets are tight, scrutiny is high, and no one wants to waste money on the wrong investment.

That tension often leads to the question… how much should we actually spend on AI?

Now that summer is coming to an end here in the UK, it’s time to look back at some more exciting features introduced by MuleSoft over the last few months. So in saying that, welcome to the 9th blog in the series on Anypoint Code Builder!

It’s been a while since my last write up on MuleSoft Anypoint Code Builder. While several new features have been introduced this year, I want to focus on MuleSoft’s artificial intelligence (AI) integrations. Let’s be honest, AI has been a hot topic for a while and isn’t going away anytime soon. So in this blog, I’ll guide you through using the Agentforce Generative Flow feature in Anypoint Code Builder and also share some practical tips along the way to help you get the most out of it.

Have you checked out Anypoint Code Builder lately? There has been another major release since my last blog, but don't worry, I’m here to guide you through the recent changes.

Everyone has, at one point or another, experienced a period of agonising waiting. Whether it be awaiting the results of a job interview, exam results or even waiting in an online queue to get the chance to grab some concert tickets, I’m sure that everyone can agree waiting around for things to happen is a deeply unpleasant feeling. Certainly for me, sitting through the week before A-Level results day felt (almost) worse than taking the exams did! Now imagine how stressful it must be for victims of crimes who are awaiting updates to their investigations.

Understandably, many people want to check in on the progress of their ongoing investigations: in fact, one of our clients found that 20% of inbound calls were from victims seeking updates to their cases. If victims of crime were able to access this information in a more timely manner, it would open up police time that could be allocated to support additional tasks, as well as help reduce stress for people going through the post crime journey.

Working in the automation space is both exciting and challenging. In a recent hyperautomation project with a client, I was provided invaluable insights into the complexities and nuances of automating business processes using MuleSoft RPA.

Here's a detailed look at my experience, the challenges faced and the lessons learned, along with a project glance on automating quotes in Excel and PDF formats.

It’s been some time since my last blog on Anypoint Code Builder, so today, I'll guide you through its most recent changes. The latest release was in June, and to say it was a big one is an understatement!