I've used this pattern on two separate codebases

I've used this pattern on two separate codebases. One was ~500k LOC apache airflow monolith repo (I am a data engineer). The other was a greenfield flutter side project (I don't know dart, flutter, or really much of anything regarding mobile development). All I know is that it works. On the greenfield project the code is simple enough to mostly just run `/create_plan` and skip research altogether. You still get the benefit of the agents and everything. The key is really truly reviewing the documents that the AI spits out. Ask yourself if it covered the edge cases that you're worried about or if it truly picked the right tech for the job. For instance, did it break out of your sqlite pattern and suggest using postgres or something like that. These are very simple checks that you can spot in an instant. Usually chatting with the agent after the plan is created is enough to REPL-edit the plan directly with claude code while it's got it all in context. …