Engineering leader, functional programmer, student of leadership, devotee of skills acquisition who slacklines and rock climbs. It's all about balance!
New York, NY
Joined July 2009
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A master in the art of living draws no sharp distinction between his work and his play; his labor and his leisure; his mind and his body; his education and his recreation. He hardly knows which is which.
Nice agent.md example designed to help agents generate better production-ready code:
fabiensanglard.net/agent.md/
More people should use this spec for defining agents that ship with a project for the purpose of doing work on the project.
dotagentsprotocol.com/
Someone asks, "At what point do you create multiple agents?"
Any time you have a task that can't be done within a single context window of your model, you should consider how you might be able to define agents to do a smaller portion of the work.
The stuff at the beginning has significant impact on the behavior all through a single session of conversation. The stuff at the end is stuff you didn't realize you needed to know at the beginning.
“With agents, you can have fresh minds on demand, for the first time in history.”
podcasts.apple.com/us/podcas…
One of the most OP AI techniques I know of is:
Instead of asking AI to do X, ask it to make you a script to do X. Then you use the script to do the task instead of AI.
This idea is less intuitive for non-software people, but it's extremely useful and easier than it seems.
When I'm giving AI advice to non-technical people, I think one of the most important pieces of advice that can be given...is the opening line of this project:
github.com/devenjarvis/lathe
"[Use] LLMs to teach you, rather than think for you."
