@mapache@hachyderm.io
@mapache@hachyderm.io avatar

mapache

@mapache@hachyderm.io

Beer, #Tech, Racoons, Family, Politics, #Mexico, #Seattle, Random Stuff. Posting in Spanish and English.

I love tech, learning, traveling and discussing ideas not intentions. Having strong opinions since the 90s.

I develop simple tools for the fediverse.

#SoftwareEngineer @ #Microsoft

I write in @blog

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mapache,
@mapache@hachyderm.io avatar

@MsHearthWitch @bookstadon I have two with textures but neither with a bee. It is the "never touch" series https://www.amazon.com/dp/B09FJQCGKH?binding=board_book&ref=dbs_dp_awt_sb_pc_tukn

tonyarnold, to random
@tonyarnold@mastodon.social avatar

Every major tool that we use for our work now is built using web technology and they're all just awful software to use and interact with.

We as software developers seriously fucked up at some point — we've eschewed great products and services for mediocrity at a scale that's impossible to roll back.

Slack is “good enough”. Notion is "good enough”. Discord is “good enough”. They're all “good enough" to secure funding and deploy the enshittification parachute on their way down.

mapache,
@mapache@hachyderm.io avatar

@tonyarnold @helge @mattro users do care, but most of them do not know what is causing the pain. Ex. Most of users hate MS Teams slowness, clunky inferface, without knowing is in the back an electron app.

mapache, to OpenAI
@mapache@hachyderm.io avatar

On the weekend I was playing with porting a action to DevOps, and it is the first time that the prompt engineering concept it hit me, like for real. When people mentioned "prompt engineering", I got it, and I could imagine it, but I did not saw it so real.

mapache,
@mapache@hachyderm.io avatar

The real value of this particular project, was not really all the code around the GitHub action, but the prompt, a single file:

http://raw.githubusercontent.com/coderabbitai/openai-pr-reviewer/main/src/prompts.ts

I can imagine the person who did this spend a fair amount of time (hours probably) getting the right prompt.

mapache,
@mapache@hachyderm.io avatar

And just judging by the amount of time spent on that, it's analogous to how much time you spend coding, just that this thing is in plain English.

Like, look at that prompt. Showing to the model examples, how it should respond, what prompts are more important than others. How to parse it, how to format it. Plain-English Coding. And I am not sure that I like it.

mapache,
@mapache@hachyderm.io avatar

@scorpil correct.

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