>The approach was the same as Cloudflare’s vinext rewrite: port the official jsonata-js test suite to Go, then implement the evaluator until every test passes.
the first question that comes to mind is: who takes care of this now?
You had a dependency with an open source project. now your translated copy (fork?) is yours to maintain, 13k lines of go. how do you make sure it stays updated? Is this maintainance factored in?
I know nothing about JSONata or the problem it solves, but I took a look at the repo and there's 15PRs and 150 open issues.
The full translation took 7hrs and $400 in tokens. Applying diffs every quarter using AI is much easier and cheaper. Software engineering has completely changed.
it is all yolo from here on out ... every major ai decision we're making today feels like a bet that agi will eventually show up and clean up the mess
> the first question that comes to mind is: who takes care of this now?
probably another AI agent at their company, who I'm sure won't make any mistakes
I mean, my first question would be how good the test suite on this project is.
That's only important if the plan is to stay feature-compatible with the original going forward.
For this case, where it's used as an internal filtering engine, I expect the goal is fixing bugs that show up and occasionally adding a feature that's needed by this organization.