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Weekly code-with-me Q&A is happening in 5 days
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Start here 👇
You MUST be Level 2 in my community to access the weekly call recordings (You level up on skool by getting 5 “likes” on your posts) Just follow the steps below: 📸 POST A PHOTO of your workspace in "What are you working on?" https://www.skool.com/zazencodes-agentic-coding-club-7823/what-are-you-working-on 👉 CREATE a post about something that's on your mind 🤝 REPLY to a recent post to add value 👍 LIKE other people’s posts (you only level up by getting likes) 2) check the "Calendar" and add my next call to your personal calendar - Look at the topic of the call (the build — first 30 minutes) - Jot down any questions that you have for me (the Q&A — last 30 minutes) 3) start on your learning path - PAID members go to the "Classroom" and complete the "Introduction" first - FREE members check out the course previews on my website: https://zazencodes.com/courses 4) add a new post in the "Community" when you've completed a course! - I'll send you a course completion certificate that you can share on LinkedIn 🎓
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What are you working on?
1) share what you’re building right now AND 2) post a photo of your workspace setup PS. If you’re working on multiple things then please share the one that’s most fun ;)
Can I ask a 10-second favor? ⭐
Hey ZazenCodes builders, I'm Yusuf, co-founder at Vendo (YC S26). Berkeley honors grad at 19, Stanford MS, and now building open-source software that lets companies agentify their products: embedded agents your customers use to automate work, build views, and connect their tools. We're at 412 stars and I'm trying to push past 500 so more builders find it. If you have a GitHub account, this takes 10 seconds: open https://github.com/runvendo/vendo and hit the Star button in the top right. That's it. Live product if you want to poke at it: vendo.run Happy to answer anything about the stack, agents, or YC. And I'll return the favor, drop your repo below and I'll star it too. 🙏
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Self-improvement vs Efficiency
There is this idea of self-learning in AI. Am I smarter today than I was yesterday by learning from yesterday's mistakes? Does anyone have any practical suggestions on this self-learning? I am seeing this tension. If the instruction is non-deterministic, then there are issues like prompt hacking. Besides the vulnerability aspect, there have also been numerous cases of AI agents not doing specifically what was asked. This "may or may not happen" aspect to any plain English instruction given to an AI agent. It's a request not a command. The way to solve this is to convert the instruction from plain English to some coding language and run that piece of code. Usually python works. But moving to python kills the self-improvement loop. All self-improvement options I have seen (SkillOpt for example) work on improving instructions in plain English. A request can improve over time but a command is frozen in the time it was created. Wonder how people see this tension of being more efficient today (python code) vs being smarter tomorrow (Prose in a skill)?
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