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harper

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I turned 600 meetings transcripts into a obsidian knowledge graph

harper.blog
4 points·by harper·3 maanden geleden·1 comments

We Built a Language for AI Pipelines

2389.ai
4 points·by harper·3 maanden geleden·0 comments

comments

harper
·3 maanden geleden·discuss
this was a fun project and has been super effective for helping me get shit done (or whatever is work these days). if helpful, here is the claude skill we made for this: https://github.com/2389-research/summarize-meetings
harper
·11 maanden geleden·discuss
Surprised no mention of futel
harper
·vorig jaar·discuss
nice name!
harper
·vorig jaar·discuss
It was not a strong metaphor! Can't win them all.

You are correct tho. I do think that we are approaching the point of "If it compiles, ship it"
harper
·vorig jaar·discuss
the prompts are generated from the planning steps. If you were to follow the prompts in the planning phase, you would get output that is clearly the "starting prompt"

that is the first thing you send to aider.

also - there was a joke below, but you can do --yes-always and it will not ask for confirmation. I find it does a pretty good job.
harper
·vorig jaar·discuss
Yea - i have had OK luck with the architect mode. but was using that as part of this (using deepseek for reasoning) and it good. but oh so slow.

Ultimately, i would love to just use one tool
harper
·vorig jaar·discuss
in my experience, there is quite a spectrum of legacy code.

Legacy modern code would be anything from the last 5-10 years. Vintage Pioneer code (which i have both initialized, and maintained) is more than 20 years old.

I am trying not to be a vintage pioneer these days.
harper
·vorig jaar·discuss
the speed is way faster. I am a good programmer with more than 25 years of professional experience. The AI is a better programmer in every way. Why do it myself when i can outsource it and play cookie clicker?

The real thing that sold me is the entire workflow takes 10 minutes to plan, and then 10-15 minutes to execute (let's say a python script of medium complexity). after a solid ~20-30 min I am largely done. no debugging necessary.

it would have taken me an hour or two to do the same script.

this means i can spend a lot more time with the fam, hacking on more things, and messing about.
harper
·vorig jaar·discuss
I actually think it is going to be way worse than you are suggesting. I think that the LLM codegen is going to replace most if not all of software eng workflow and teams that we see today.

Software is going to be prompt wrangling with some acceptance testing. Then just prompt wrangling.

I don't have a lot of hope for the software profession to survive.
harper
·vorig jaar·discuss
fixed! thanks
harper
·vorig jaar·discuss
i really wanted to use DSPy to generate prompts, but it wasn't quite as compatible with my workflow as i wanted. I love the idea tho - code instead of strings.

i will dig in again. It is an exciting idea.
harper
·vorig jaar·discuss
when it first was released i played with it - but haven't since. i should try again.
harper
·vorig jaar·discuss
I added it because of the apple prompts! I figured it is worth a try. The results are good, but i did not test it extensively
harper
·vorig jaar·discuss
let me know how it works!
harper
·vorig jaar·discuss
most of this is aider / codegen:

Total tokens in: 26,729,994 Total tokens out: 1,553,284

Last month anthropic bill was $89.30

--

I want to program with a team, together. not a group of people individually coding with an agent, and then managing merges. I have been playing a lot with merging team context - but haven't gotten too far yet.