i use tmux with one open session per project I'm working on.
inside the session using nvim for edits, terminal panes for running tests / commands etc, and increasingly pi as a coding agent instead of claude code.
i sometimes toy around with orchestration projects like capy.ai or conductor but haven't really been impressed.
probably worth noting that usually all code i push will have been written by me. even if LLMs can output the same i find it's usually faster to implement it myself compared to convincing myself that the LLM output is correct.
is it really? this is the most common example for context free languages and something most first year CS students will be familiar with.
totally agree that you can be a great engineer and not be familiar with it, but seems weird for an expert in the field to confidently make wrong statements about this.
another EF project is https://semaphore.pse.dev/, which basically allows users to prove membership of a group without revealing additional details about themselves.
it's useful but also simple enough to understand the whole code-base in a reasonable time.
7) went smoothly, I sent a regular invoice and withdrew via a centralized exchange. Fees for me were lower than receiving an international bank transfer
8) yes
9) the UX is quite bad still, I don’t want to evaporate my salary by mistyping an address. paying ppl in crypto also leads to some pay transparency, I could see how much everyone was making
this sounds like an interesting product and the team clearly has impressive credentials.
I am very sceptical of crowd funding however, I think these are largely terrible investments for consumers while explicitly targeting people who are not accredited investors.
what made you go that route instead of pursuing VC funding?
at first i thought i was goring to build lots of extra plugins and commands but what ended up working for me is:
- i have a simpel command that pulls context from a linear issue
- simple review command
- project specific skills for common tasks