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#3I can definitely relate. As an engineering manager, migration projects are often the least fun to work on. They are complex, take a ton of time and no one wants to work on them. If this works as promised. I would like to try it on a few migrations myself. Best of luck on your work,
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#4I can definitely relate. As an engineering manager, migration projects are often the least fun to work on. They are complex, take a ton of time and no one wants to work on them. If this works as promised. I would like to try it on a few migrations myself. Best of luck on your work,
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#5I can definitely relate. As an engineering manager, migration projects are often the least fun to work on. They are complex, take a ton of time and no one wants to work on them. If this works as promised. I would like to try it on a few migrations myself. Best of luck on your work,
How do you handle dependencies like libraries?
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#6Earlier quoted context omitted.
How do you handle dependencies like libraries?
We use LangChain to crawl documentation and code examples for relevant frameworks and libraries, to make sure that the AI generated PR is up-to-date. We also have a custom dependency resolver that detects which new dependencies need to be added, as well as updating the package.json files with the correct version numbers
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#8I've seen a team crawl through a Python 2 -> 3 migration for months, paralyzing product dev. Applying AI to the migration space is really smart.
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#9Earlier quoted context omitted.
We use LangChain to crawl documentation and code examples for relevant frameworks and libraries, to make sure that the AI generated PR is up-to-date. We also have a custom dependency resolver that detects which new dependencies need to be added, as well as updating the package.json files with the correct version numbers
"custom dependency resolver" I am intrigued, Ill check it out.
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#10Next 12 to 13 (with app router) is a struggle for even seasoned teams. Not looking forward to AI handing off a 162833292 line PR.