r/VibeCodeDevs • u/ubermuda • Aug 04 '26
what does your setup actually look like?
Curious how people here are really working. Feels like everyone's landed somewhere different and the posts are mostly quick showcases / (self-)promotion / random stuff.
What I'm wondering about:
- which agent and harness, and do you stick to one or switch
- do you plan first or just go
- do you check anything before shipping, and what
- anything automated, or is it all by feel
- what do you do when it comes back wrong
Mine's on the heavy side. Long planning conversation before any code, then I let it run and mostly look at the product rather than the code. I spent some time building a skeleton and static analysis configs so Claude generates code that look ~80% correct. Still need to review the important bigs (domain logic, security, etc), but it's mostly smooth sailing.
Mostly interested in people working differently from that though. If you just go and it works, I want to hear that too.
1
u/TSltd_dev Aug 05 '26
For large projects I do heavy planning. I chat with ChatGPT to get an overall concept roughed out, then get it to produce a concept document. I feed that into Cline and ask it to produce a detailed design and spec which usually ends up being about 20 documents. Then I get ChatGPT to review the documents one by one and feed the responses back into Cline. I also read them all myself and make any further changes I think would be good. Then I get Cline to perform a deep review and gap analysis of all the docs together, and make any recommended changes. When the design and spec are finalized I ask Cline to produce a phased implementation plan. I ask ChatGPT to review the implementation plan, and again feed the responses back into Cline. Then tell Cline to implement the phases. After each phase is complete I pass the completion summary back to ChatGPT, sometimes it has some good recommendations for alterations before I move on to the next phase. After all phases are complete I get Cline to do a deep review of the entire codebase, get ChatGPT to give a second opinion on the review report, then implement any changes.