I think pi-mono (https://github.com/badlogic/pi-mono) is pretty close.
The extensibility is wonderful and a much better fit for how I work compared to Claude Code.
I’m in a similar boat. Many artists I listen to on Bandcamp offer cassettes(!) at a fair price and will charge a comparable price for the digital. However, I’ve seen some artists charge thousands for digital only but $10 for a tape that includes the digital version.
I don’t know why they do this, but I do know I have an ever growing stack of tapes I can’t listen to…
I am coming back to this. I’ve been using Claude pretty hard at work and for personal projects, but the longer I do it, the more disappointed I become with the quality of output for anything bigger than a script.
I do love planning things out and clarifying my thoughts. It’s a turbocharged rubber duck - but it’s not a great engineer
Me too. I’ve been playing with various coding agents such as Cursor, Claude Code, and GitHub Copilot for some time, and I would say that their most useful feature is educating me. For example, they can teach me a library I haven’t used before, or help me debug a production issue. Then I would choose to write the code by myself after I’ve figured everything out with their help. Writing code by myself is definitely faster in most cases.
You are right, I don't have any baseline. I just try it and see if it works. One good thing about the software field is that I can compile and run the code for verification. It may not be optimal, but at least it's testable.
My thoughts on scripts are: the output is pretty bad too, but it doesn't matter as much in a script, because its just a short script, and all that really matters is that it kinda works.
At first I thought becoming “10x” meant outputting 10x as much code.
Now that I’m using Claude more as an expensive rubber duck, I’m hoping that I spend more time defining the fundamentals correctly that will lead to a large improvement in outcomes in the long run.
My personal experience was that of a decrease in productivity until I spent significant time with it. Managing configurations, prompting it the right way, asking other models for code reviews…
And I still see there is more I can unlock with more time learning the right interaction patterns.
For nasty, legacy codebases there is only so much you can do IMO. With green field (in certain domains), I become more confident every day that coding will be reduced to an AI task. I’m learning how to be a product manager / ideas guy in response
Neat! I am going to check this out.
I recently built an MCP system similar to this called Nonlinear (so clever) that uses SQLite for storage that lives outside the repo.
Honestly though, in repo is the better option.
