Blog GenAI This week’s AI Bite: Using AI in API migration – How Cursor accelerated our work at BoldareThis week’s AI Bite: Using AI in API migration – How Cursor accelerated our work at Boldare
Weekly AI Bites is a series that gives you direct access to what’s happening in our day-to-day AI work. Every post comes straight from our team’s meetings and Slack, sharing insights, tests, and experiences we’re actively applying to real projects.
What models are we testing, what challenges are we tackling, and what’s really working in products? You’ll find all of this in our bites. Want to know what’s buzzing in AI? Check out Boldare’s channels every Monday for the latest weekly AI bite.
Now, let’s jump into a recent experience where we migrated an API integration for one of our client projects…
Table of contents
Task overview
Our goal was to replace the existing API integration with a new one, which required a major architectural overhaul. The old integration had multiple layers, while the new solution aimed to streamline the connection between the app and the API. The differences between the old and new APIs were significant, and since the app had already been under development for several months, the migration process posed a considerable challenge.
How did Cursor help us?
To facilitate the migration, we used Cursor, an AI-powered tool that, based on the API documentation, automatically generated a comprehensive Postman collection with the correct environment variables and simple scripts. This feature saved us a significant amount of time!
Mapping functionalities
We compared the functionalities of the old and new APIs to determine which ones needed to be migrated and what modifications were required.
Migration plan
We devised a detailed migration plan, ensuring it not only covered the API integration transfer but also enhanced the app’s architecture for greater scalability and future growth.
Our approach
We carried out the migration in stages, with each functionality being migrated step-by-step. The process included:
- Generating the migration plan
- Reviewing and refining the plan
- Implementing the migration
- Making minor adjustments during implementation
The use of pre-prepared templates and files made the entire process smoother and faster.
Current status
The old integration has been successfully removed, and the app is now operating with the new API.
Conclusion
Without AI, the migration would have taken much longer and been far more resource-intensive. With Cursor’s support, we saved hundreds of hours, and the process was completed smoothly and efficiently. The migration, which would have otherwise been drawn out for weeks or even months, was streamlined thanks to AI.
I truly believe that without AI, we would still be working on the migration for weeks, if not months
Share this article:
