I knew what I was doing when I approved it.
The system needed a fix. The business had a deadline. The pragmatic answer was a patch - fast, cheap, ships this week. So that's what we did.
But here's the thing about monkey patches on legacy systems: they're never really isolated. You're not fixing the system. You're buying time. And time costs money, in ways that don't show up on the individual ticket.
The system in question is a PHP codebase connected to HubSpot and Shopify. It's done its job. It's also accumulated years of business logic in ways nobody fully planned - a sync rule here, a transformation there, a workaround that became a feature.
The patch fixes a specific integration problem. It's the right call for this week.
What comes after is a Django middleware layer that owns the sync logic properly - field mappings, transformation rules, error handling - while PHP handles the data. Business logic migrates out of the legacy system incrementally, on a timeline the client can support. No big-bang rewrite. No production risk.
The patch buys time for the architecture. That's how I'm thinking about it.
The mistake isn't patching. The mistake is patching without a plan for what comes after.
A patch that extends a working system while you architect the next layer - that's pragmatic engineering. A patch that just defers the problem - that's how you end up with a massive fix budget spread across twelve tickets over 18 months, each one looking cheap, none of them adding up to anything.
I know which one this is. That's why I approved it.
TL;DR
- Approved a monkey patch on a legacy PHP system - knowingly and deliberately
- Patches aren't the problem; patches without a plan are the problem
- This one buys time for a proper middleware layer that migrates business logic incrementally
- The test: is this patch extending a working system, or just deferring the real problem?