With almost 600 books in my kindle collection over a period of about 15 years, I would like to think I was a relatively active customer. When they announced “your kindle books are just a license to read”, which happened about the time they announced the deprecation of the old format, I went and converted the entirety of my library to Calibre with multiple open formats.
That was in December, I have not bought a single book on Amazon since then, and the kindle app is not installed on my new phone. Just in case anyone from the relevant AMZN department is reading this.
Architecturally - where do you run Postgres ? I assume it would be external to the cluster ? (doing it internally would create a circular dependency ?)
I’ve made something very similar that is almost backend-agnostic: https://github.com/ayourtch-llm/tttt - and it does auto inject the MCP in case of Claude, but it is trivial to adapt to other backends.
I tried qwen3.5:4b in ollama on my 4 year old Mac M1 with my own coding harness and it exhibited pretty decent tool calling, but it is a bit slow and seemed a little confused with the more complex tasks (also, I have it code rust, that might add complexity). The task was “find the debug that does X and make it conditional based on the whichever variable is controlled by the CLI ‘/debug foo’” - I didn’t do much with it after that.
It may be interesting to try a 6bit quant of qwen3.5-35b-a3b - I had pretty good results with it running it on a single 4090 - for obvious reasons I didn’t try it on the old mac.
I am using 8bit quant of qwen3.5-27b as more or less the main engine for the past ~week and am quite happy with it - but that requires more memory/gpu power.
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.
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.
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.
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.
I try to buy physical books, and make an effort to buy it elsewhere, with AMZN being the reluctant last resort if I truly can’t find it. I don’t have a specific go to place anymore.
Also, I reduced the buying pace - owning physical books takes up space, so the bar for getting something into the library is now much higher than before.
I have bought more than 600 books over a decade or so;
But after they decided the ebooks were actually just license to read, I did exactly the same as you, and now rather than happily buying from them, actively discourage everyone in my social circle from using kindle.
I am not going back, whoever they decide to blame.
Kimi is noticeably better at tool calling than gpt-oss-120b.
I made a fun toy agent where the two models are shoulder surfing each other and swap the turns (either voluntarily, during a summarization phase), or forcefully if a tool calling mistake is made, and Kimi ends up running the show much much more often than gpt-oss.
> Claude doesn't run out of patience like a human being does.
It very much does! I had a debugging session with Claude Code today, and it was about to give up with the message along the lines of “I am sorry I was not able to help you find the problem”.
It took some gentle cheering (pretty easy, just saying “you are doing an excellent job, don’t give up!”) and encouragement, and a couple of suggestions from me on how to approach the debug process for it to continue and finally “we” (I am using plural here because some information that Claude “volunteered” was essential to my understanding of the problem) were able to figure out the root cause and the fix.
That was in December, I have not bought a single book on Amazon since then, and the kindle app is not installed on my new phone. Just in case anyone from the relevant AMZN department is reading this.