[charintstr]

I am at a major company that is essentially vibe coding. I’ve shipped about 100k LoC this entire half and am toward top 10% of my team. I find it likely that either

A. The code is absolute garbage and is speed for speed sake B. They’re using an internal model that is a generation beyond GPT 5.5

I say this because we’ve attempted to do something similar using the latest gen Claude models and a significantly larger team. The code is probably along the lines of millions LoC but is an absolute mess because of vibing. There’s a price you pay for speed

[sajithdilshan]

I think vibe coding is okay for a small internal tool, dashboard, etc. but it’s definitely a no-go for a production running service.

[iso1337]

Q1 - How much effort did you put into deterministic guardrails like AST linters, etc?

I find there’s a ton of slop unless hard guardrails are added, eg step 1 is just around syntax, step 2 is to enforce mental models

You still need someone steering direction and have a logically consistent idea of what you actually want to build

Q2 - I find that vibe coding really accelerates FE projects because it’s possible to run everything locally and check results

For pure distributed infra backend more investments have to be made into the devloop to be able to shift left the feedback loop and decouple it from humans or real deploys

[therealdrag0]

I like how they said they were spending 20% of their time addressing slop. Sounds like they’ve tried to automate the slop correction but it’s a good honest reminder.

Additionally it’s an internal tool, which is likely much more amenable to slop.