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user_profile: explorer · budget mid
constraints: max_travel = 40km/day
RUNNING TOOLS...
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Day 1 -
Day 2 -
Day 3 -
Thoughts on software development, AI, and building systems
I wanted to see how far I could push autonomous code generation. Not by writing better prompts, but by building a system where agents could implement, verify, and fix their own work without me watching. A DOCX editor built from behavioral specs and pixel diffs was the testbed.
How come we have advanved agent tracing products with minimal setup, but prompt optimization itself needing rewriting your product in new frameworks in order to work. My attempt on showing that it does not need to be the case
How to create AI systems that adapt and improve their performance over time by learning from past interactions. Going over the MemGPT and Letta AI frameworks approach on bulding agents with memory systems that evolve through conversations.