Live data from Hacker News

Get Shit Done: A meta-prompting, context engineering and spec-driven dev system

github.com

21–30 of 278 posts

Re: Get Shit Done: A meta-prompting, context engineering and spec-driven dev system

#21
I was using this and superpowers but eventually, Plan mode became enough and I prefer to steer Claude Code myself. These frameworks are great for fire-and-forget tasks, especially when there is some research involved but they burn 10x more tokens, in my experience. I was always hitting the Max plan limits for no discernable benefit in the outcomes I was getting. But this will vary a lot depending on how people prefer to work.

Re: Get Shit Done: A meta-prompting, context engineering and spec-driven dev system

#22
250K lines in a month — okay, but what does review actually look like at that volume?

I've been poking at security issues in AI-generated repos and it's the same thing: more generation means less review. Not just logic — checking what's in your .env, whether API routes have auth middleware, whether debug endpoints made it to prod.

You can move that fast. But "review" means something different now. Humans make human mistakes. AI writes clean-looking code that ships with hardcoded credentials because some template had them and nobody caught it.

All these frameworks are racing to generate faster. Nobody's solving the verification side at that speed.

Re: Get Shit Done: A meta-prompting, context engineering and spec-driven dev system

#23
it is very hard for me to take seriously any system that is not proven for shipping production code in complex codebases that have been around for a while.

I've been down the "don't read the code" path and I can say it leads nowhere good.

I am perhaps talking my own book here, but I'd like to see more tools that brag about "shipped N real features to production" or "solved Y problem in large-10-year-old-codebase"

I'm not saying that coding agents can't do these things and such tools don't exist, I'm just afraid that counting 100k+ LOC that the author didn't read kind of fuels the "this is all hype-slop" argument rather than helping people discover the ways that coding agents can solve real and valuable problems.

Re: Get Shit Done: A meta-prompting, context engineering and spec-driven dev system

#24
post #3

Earlier quoted context omitted.

I could copy 250k lines from github. Faster than using ai. Cheaper. Code is better tested/more secure. I can learn/build with other humans.

I was not a app developer before, but a systems engineer with devops experience. But I learnt a lot about apple development, app store connect and essential became a app developer in a month. I don't think I can learn so quickly with other humans help.

If you lost access to AI would you be able to continue development on your app?

Re: Get Shit Done: A meta-prompting, context engineering and spec-driven dev system

#25

250K lines in a month — okay, but what does review actually look like at that volume? I've been poking at security issues in AI-generated repos and it's the same thing: more generation means less review. Not just logic — checking what's in your .env, whether API routes have auth middleware, whether debug endpoints made it to prod. You can move that fast. But "review" means something different now. Humans make human m…

Code is a cost. It seems everyone's forgotten.

Saying "I generated 250k lines" is like saying "I used 2500 gallons of gas". Cool, nice expense, but where did you get? Because it it's three miles, you're just burning money.

250k lines is roughly SQLite or Redis in project size. Do you have SQLite-maintaining money? Did you get as far as Redis did in outcomes?

Re: Get Shit Done: A meta-prompting, context engineering and spec-driven dev system

#26

250K lines in a month — okay, but what does review actually look like at that volume? I've been poking at security issues in AI-generated repos and it's the same thing: more generation means less review. Not just logic — checking what's in your .env, whether API routes have auth middleware, whether debug endpoints made it to prod. You can move that fast. But "review" means something different now. Humans make human m…

[flagged]

Re: Get Shit Done: A meta-prompting, context engineering and spec-driven dev system

#27

I was using this and superpowers but eventually, Plan mode became enough and I prefer to steer Claude Code myself. These frameworks are great for fire-and-forget tasks, especially when there is some research involved but they burn 10x more tokens, in my experience. I was always hitting the Max plan limits for no discernable benefit in the outcomes I was getting. But this will vary a lot depending on how people prefer…

I've gone the other way recently, shifting from pure plan mode to superpowers. I was reminded of it due to the announcement of the latest version.

It is perhaps confirmation bias on my part but I've been finding it's doing a better job with similar problems than I was getting with base plan mode. I've been attributing this to its multiple layers of cross checks and self-reviews. Yes, I could do that by hand of course, but I find superpowers is automating what I was already trying to accomplish in this regard.

Re: Get Shit Done: A meta-prompting, context engineering and spec-driven dev system

#28

250K lines in a month — okay, but what does review actually look like at that volume? I've been poking at security issues in AI-generated repos and it's the same thing: more generation means less review. Not just logic — checking what's in your .env, whether API routes have auth middleware, whether debug endpoints made it to prod. You can move that fast. But "review" means something different now. Humans make human m…

[flagged]

https://news.ycombinator.com/newsguidelines.html#generated

Re: Get Shit Done: A meta-prompting, context engineering and spec-driven dev system

#29
I could not produce useful output from this. It was useful as a rubber duck because it asks good motivating questions during the plan phase, but the actual implementation was lacklustre and not worth the effort. In the end, I just have Claude Opus create plans, and then I have it write them to memory and update it as it goes along and the output is better.
Post reply on HN