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by ay 104 days ago
I am 50, coding since ~12. Started with Apple II, during the uni times wrote my own editor in assembly for BK-0010 (a soviet computer), then 30 years in computer networking with some high performance dataplane stuff more recently;

The last years somehow it felt like there’s nothing new anymore, the same 10 ideas being regurgitated with slight modifications. I tinkered with AI for the past 2 years but it was mostly a “tool for writing boilerplate”. I have tried a few ideas for agents but didn’t see how it could work.

That changed with Opus 4.6 and the subsequent wave of local models - now I try 10 ideas a day and it’s like magic! And if something doesn’t work - jumping into the code and debugging it is huge fun!

Understanding that the era of the almost-free cloud tokens might come to an end, I run my own harness pointing to my own GPUs running Qwen3.5-27B, and the last few days it has been very busy! :)

My harness doesn’t “pressure cook” since it doesn’t make sense to do that with only one GPU (besides many other reasons), it runs everything in a linear fashion, including subagents, and logs everything - reading the logs as they go by is another cool thing - sometimes I pick up interesting things from it !

The distribution of people’s moods related to AI seems indeed bimodal. And I feel lucky somehow ending up in the “enthusiastic” rather than “depressed” part of it. To the folks in the other one: I am sorry. I don’t know why it is this way. If I knew I might have given unsolicited advice.

1 comments

So you’ve tried at least a hundred ideas by now, care to share fifty of them? I’m very curious as to what they are. Opus is too slow to even complete one idea per day for me, and that’s fine, I don’t have hundreds of them :)
I dont have big ideas. Some of the more interesting ones that I ended up using but can’t share: a streaming radio for my MP3 collection (runs behind the vpn); a lightweight and self contained webrtc conference server for talking with my family; a process-level virtualization based on KVM.

Of the ones I can share:

Browser-based network tester using webrtc unreliable data https://netpoke.com - use magic code “DEMO” to see what’s it about - the source is at https://github.com/ayourtch/netpoke

A port of the SOTA speech generation model from Python to Rust:

https://github.com/ayourtch/fish-audio-experiment

A study on LLM prompting techniques:

https://github.com/ayourtch-llm/kindness

My own coding agent that i use with my locally hosted LLM for experiments:

https://github.com/ayourtch-llm/apchat

Also LLM helped with a lot of code for my packet mangling library: https://github.com/ayourtch/oside - which, among other things, includes a now battle tested SNMPv3 stack.

A true “stochastic parrot” using hash tables: https://github.com/ayourtch/hashmem

These are the ones I remember. Feel free to scout my GitHub for more. Edit: And of course it doesn’t need to be said that out of ideas I try all of them make it to github. Many end up thrown away.