I feel icky about code generation (as in writing software to generate code).
Any conversation
I was curious of testing the Omarchy distribution this week just because I had some free time to work on it. I saw a lot of hate around it and kind of get the point but so far at least for what I have been doing it wasn't terrible (at least at the point of writing this) although I am not trying to convince anybody to use it. But it just remember me how much do I hate MS.
working on permanent.sh a coding agent for the growing and seemingly permanent underclass of people that are left behind by the unbelievable pace of progress in ai
the big labs are fighting over felonybench (exploitbench) and google deepmind ceo left to work on drug discovery
I read
Still trying to figure out the boundaries of these tools' strengths without outsourcing important thinking, problem-solving, and the collective building-up of a mental model of the systems we're developing.
The shape of LLM tools as toolsโfit for a purpose, ergonomicโis becoming clearer, and human patterns of behavior with them that do more harm than good are also becoming easier to recognize.
I've been enjoying toast to help click through a project. I still mostly use Zed to handwrite code, but it's nice to open a pane and fire up toast from the terminal. paradise-runner.github.io/toast/
I never have enough time but Iโd love to do a bit more recreational programming with esoterical languages like kitten, , and . AoC and Project Euler are good because they just require an answer but thereโs also loads of simple puzzles online that rely on being able to submit the code in common languages. Iโve been wondering, however, if I could use an LLM to take those problems and create a verification harness for any language I like.
we also launched Norma! :)
It checks AI-generated code for security, quality and maintainability while the agent is still working, rather than after a pull request opens. The output is deterministic. Here the demo link: portal.qualityclouds.ai/demo


