Cursor

Cursor has completely changed how I approach my work. Honestly, I'm not sure I could keep up with my current projects without it. I've used it to build out a full Detection-as-Code framework and to get far more value out of our SIEM, particularly around SOAR and automation. The planning mode has been especially useful for breaking complex projects into clear, time-bound phases. It's helped me stay on track while also allowing Cursor to reason through and support genuinely complex tasks alongside me.

This is a great tool for novice programmers who have been tasked with transitioning many processes over to a different coding language. With many LLMs to choose from, Cursor enhances the experience with built-in features like Skills and Rules. These help your overall "workflow", especially on projects like mine, where I was taking XML files and converting them into Python pipelines. The UI is easily customizable and getting onboarded to use Cursor was a breeze with so many helpful online trainings. My company provided "Cursor Days" that was persona based, and having use cases like designers and PMs using Cursor really expanded how myself and my team use Cursor - not just for coding, but also for creating decks and documentation. Each time I have Cursor convert my XML files to Python, I ask it to create a Mermaid diagram and then push it to Confluence. It is so quick! The ability to connect to various MCP Servers within Cursor unlocks so much -- and it's so easy to connect too! You can just prompt Cursor to do it for you!

My overall experience with Cursor has been quite positive. As a new user, I found the setup and integration process to be straightforward, allowing me to quickly connect Cursor to my existing workflows. It's a powerful tool that simplifies running code to automate various steps, which is particularly beneficial in my role within the tech sector. I can have multiple sources feed into it directly, which adds a wealth of context to the discussion.

Cursor provides accurate, high-level project analysis, which helps a lot to maintain the code quality. It gives professional recommendations based on the whole project rather than just single files. Cursor also helps to analyze and evaluate new feature requirements and generates sample code. The suggestions and sample code saved me a lot of time. It improved my coding speed and I can have more time to dive into the business logic.

As a qualitative risk manager, I needed to develop a Python app for big data analysis. Despite the fact I had no programming skills at that time, I could use the Cursor AI assistant to refine my problem and objective definitions and, in 2 or 3 days the Python app was live, with its code tested and bringing real results.