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alex martinez
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On this page
  • #1 - Can AI Build MuleSoft Apps? Cursor AI + Anypoint Code Builder Test Drive
  • #2 - Can Cursor AI Recreate a MuleSoft Project Using Best Practices? (Spoiler: Not Really)
  • #3 - Teaching Cursor AI Best Practices for MuleSoft with Rules (Big Improvement!)
  • #4 - CurieTech AI vs Real-World DataWeave Challenges โ€“ Did It Deliver?
  • #5 - Is CurieTech AI Smart Enough to Pick the Fastest DataWeave Code?
  • #6 - Cursor AI vs CurieTech AI: Who Writes Better MUnit Tests for MuleSoft?
  • #7 - CurieTech AI Wrote My MuleSoft Best Practices โ€” AND Opened a GitHub Pull Request! ๐Ÿ˜ฑ
  • #8 - Testing CurieTech AI's Code Insights: Single Repo, Multi Repo, and Code Review Lens
  • #9 - Generate OAS & RAML Specifications Instantly with CurieTech AIโ€™s API Spec Generator Agent
  1. series

Adventures in MuleSoft + AI

Previous#CodetoberNextDataWeave Challenges

Last updated 26 days ago

#1 - Can AI Build MuleSoft Apps? Cursor AI + Anypoint Code Builder Test Drive

Curious if AI can help you build MuleSoft applications faster and cleaner? In this dev experiment, I test out Cursor AI + Anypoint Code Builder to see if it's up to the task.

#2 - Can Cursor AI Recreate a MuleSoft Project Using Best Practices? (Spoiler: Not Really)

In this follow-up to my previous video, I took the MuleSoft best practice template I generated earlier and asked Cursor AI to build a new Mule app using the same structure and standards.

#3 - Teaching Cursor AI Best Practices for MuleSoft with Rules (Big Improvement!)

๐Ÿง  Can you teach Cursor AI to follow your MuleSoft best practices automatically?

In this video, I explore exactly that โ€” using an .mdc file to define custom rules that help Cursor AI generate better MuleSoft code, with a cleaner structure and reusable components.

After struggling in Part 2, this time I leveraged Cursor rules to guide my MuleSoft app creation. Itโ€™s still not perfect, but if youโ€™re specific enough, Cursor becomes a powerful AI coding assistant โ€” even for integration workflows.

#4 - CurieTech AI vs Real-World DataWeave Challenges โ€“ Did It Deliver?

In this video, I test CurieTech AI's DataWeave code generator to see how well it handles real-world MuleSoft transformations.

#5 - Is CurieTech AI Smart Enough to Pick the Fastest DataWeave Code?

Can AI really generate the most performant DataWeave code? In this video, I put CurieTech AIโ€™s DataWeave code generator to the test to see if it could choose the fastest transformation logic โ€” using nothing but sample input and expected output.

#6 - Cursor AI vs CurieTech AI: Who Writes Better MUnit Tests for MuleSoft?

In this video, I put two AI coding tools head-to-head to find out which one can generate MUnit tests for MuleSoft more easily, accurately, and efficiently.

#7 - CurieTech AI Wrote My MuleSoft Best Practices โ€” AND Opened a GitHub Pull Request! ๐Ÿ˜ฑ

In this video, I take the same MuleSoft best practices rules file I used in a previous test with Cursor AI, and this time I run it through CurieTech AI's Code Enhancer Agent. The results? Not only did Curie generate clean, best-practice-compliant code... it also opened a pull request directly in my GitHub repo. ๐Ÿคฏ

#8 - Testing CurieTech AI's Code Insights: Single Repo, Multi Repo, and Code Review Lens

In this video, I dive into the Code Insights agents available in CurieTech AI โ€” specifically Single Repo Code Lens, Code Review Lens, and Multi Repo Code Lens.

#9 - Generate OAS & RAML Specifications Instantly with CurieTech AIโ€™s API Spec Generator Agent

In this video, I test CurieTech AIโ€™s new API Spec Generator agent โ€” a powerful tool that helps developers instantly generate OpenAPI (OAS) and RAML specifications from prompts, existing specs, or even vague ideas.

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