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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.

AWS Service Roles allow services to securely interact with other AWS services on your behalf by assuming roles with the necessary permissions. This simplifies access management and reduces the need to handle long-term credentials.

CloudHub 2.0 works on top of an AWS EKS service, so we can leverage AWS Service Roles to connect our APIs with many other AWS services used by our integrations, such as SQS, S3, DynamoDB, Secret Manager, etc.

In this article, we will see how it works and how to implement it.

In higher education, managing student data is often seen as a challenge of consolidating records across various platforms - from admissions and financial aid systems to student management portals and alumni databases. For many institutions, the complexity of these systems leads to fragmented data, making it hard to get a unified view of students and make timely, data-driven decisions.

As a project manager, I often have multiple projects running parallel to one another. Before building a solid approach to monitor all these tasks and activities in progress, I always worried I might miss something.

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!

Occasionally, I’ll come across a project where I encounter an interesting challenge or two. In one of these instances, I was working on an automation project for a customer who wanted to ingest all of their quotes from different suppliers into their Salesforce application. The quote documents were highly unstructured PDFs and Excel files, requiring the design of a bot which would extract data from these files and ensure that mandatory information was loaded into the Salesforce application using OCR technology.

Introduction

When I embarked on my latest project involving MuleSoft's Robotic Process Automation (RPA), little did I know it would be one of the most challenging yet rewarding experiences of my professional journey. As someone who enjoys solving complex puzzles, I was eager to dive into the intricacies of RPA; however, I soon realised this project would test my skills and patience in ways I hadn't anticipated. Balancing work and personal life became crucial, as late nights and early mornings became routine. However, with a steadfast commitment to overcoming each obstacle, the end result was immensely satisfying.

Introduction

Not long ago, our team came across a surprising new issue when running bots in live VMs. To provide some context, by default each VM deployed for automation has 2 user accounts that can work concurrently. In this case, we deployed 2 parallel instances of the bot to optimise the throughput.