What an amazing read, funny, nostalgic, the duality of the perfect mess but still so much opportunity and ability to make progress, and somehow it all just chugging along.
I feel a lot of this is the difference between theory and practice. Sure each of these things are bad, but probably a lot might have been the right choice at the time, and in a way, most companies, even most projects running for many years, end with similar quirky processes, messes, and hacks.
It's the war stories of what used to be, often only told by the code and the database as the creators have long left.
When I look at our couple year old startup, we have some of these things. Prototypes that just keep functioning and only get more attention when they break, manual processed that sort of make sense but also don't, integrations with systems that were build in the early 2000's (it works, but it ain't pretty). We fix many, but I'm sure some will survive way too long.
As software engineers, especially online, we like to discuss the ideal way to do things, best practices, testing strategies, redundancies, the whole nine yards. When time is of the essence and stakes are high, it all goes out of the window and you gotta just make it work in whatever way is possible to fight another day.
This is the main takeaway for me. The decentralized way of software development in a large scale. It does echoes with microservices a lot, but this can be done with a more traditional stack as well. It's ultimately about how you empower teams to develop features in parallel, and only coordinate when patterns emerge.
I feel a lot of this is the difference between theory and practice. Sure each of these things are bad, but probably a lot might have been the right choice at the time, and in a way, most companies, even most projects running for many years, end with similar quirky processes, messes, and hacks.
It's the war stories of what used to be, often only told by the code and the database as the creators have long left.
When I look at our couple year old startup, we have some of these things. Prototypes that just keep functioning and only get more attention when they break, manual processed that sort of make sense but also don't, integrations with systems that were build in the early 2000's (it works, but it ain't pretty). We fix many, but I'm sure some will survive way too long.
As software engineers, especially online, we like to discuss the ideal way to do things, best practices, testing strategies, redundancies, the whole nine yards. When time is of the essence and stakes are high, it all goes out of the window and you gotta just make it work in whatever way is possible to fight another day.