[jowsie]

I'd love to read a full transcript of someone going through this kind of collaborative programming. I see this kind of process mentioned a lot but can't quite figure out the details in my head. If anyone has a link to a blog post or similar showing this process in depth, I'd love to give it a read :)

[tkocmathla]

I've been using superpowers [1] for this purpose, and have really appreciated how it guides the model to use careful, methodical approaches to answering my prompts. It's great for multi-step planning, design, and implementation, but also has guidance for debugging, accepting a code review, etc.

[1] https://github.com/obra/superpowers

[burnto]

Yeah I feel like I’ve learned a lot from superpowers. It’s such a thoughtfully developed skillset.

[sntran]

I think it will click once you actually sit down with the AI agent, toggle Plan mode, and just tell it what you want to do in couple of sentences. It will immediately start building up the plan, presenting it to you what it thinks is the right approach , with the steps to take, with open questions that you can look at and answers. Then send them back to the AI. Repeat. That process along would give you a progress way further than you try to do it by yourself.

You can tell it to start implementing step 1. And you pick it up from there. Very natural how you would approach an expert for help, but you can always audit.

[pmontra]

I did not use plan mode but I'll give it a try.

I can't provide a transcript because it's work I made for a customer and I'm bound to a clause of confidentiality.

What I did is what I use to do while starting to work on a major feature: make a list of changes, new and modified functionality, think which code and db tables I will touch and how, set constraints on the edits (eg: that API must not change, that one must be retro compatible) etc. I've been a bit pedantic because this time I had to tell it to someone else. I wrote it into a md file and asked Claude to check the code and find out if my plan was consistent with the code we were starting from. It made a list of things that I needed to detail more, added some questions and we iterated on it. Basically it's what I do myself but it happened faster.

[mitjam]

This Spec Driven Development Short course on DeepLearning by Paul Everitt is a nice 2-Hour walkthrough: https://www.deeplearning.ai/courses/spec-driven-development-...

[nsvd2]

Jon Gjengset has some live streams where he does agentic coding.