If you want a bit more power or firewall capability a minipc running OPNSense also works.
37 karma · joined November 16, 2025
If you want a bit more power or firewall capability a minipc running OPNSense also works.
When I'm building something new there's a good chance I don't know about a lot of problems (unknown unknowns). How do you overcome this with just spec files?
I keep coming back to this and the only way to develop properly without tons of hacks patching bugs afterwards is by working at a low level. I don't really write code but I work at the code level still and have Claude write each function and whatnot.
I wouldn't say this at all. They mess up regularly. What makes them able to write syntax that compiles is their harness which verifies the syntax and provides the feedback loop for them. But LLMs will happily give you code that doesn't compile.
Agents are still far too unreliable and dumb for this model and need strict discipline by a developer who really understands fundamentals. And sometimes it’s just faster to do the damn thing yourself instead of writing a whole paragraph to an agent that still might do it wrong.
Also, they’re more resistant to AI/automation. Like many, I’m not sure if I’ll want to stick around and manage a bunch of AI agents, that’s not really what interests me in the software world.
Also important is using a direct CO2 sensor (NDIR or photo acoustic) and not eco2 which can give false positives from other things in the air.
I printed the main pedal frame and base with PETG, and I found some M5 hardware on amazon for pretty cheap. The pedals use a hall effect sensor to measure the proximity of the pedal to the frame base. They're wired to an esp32 ADC ports and I wrote a simple USB HID device with tinyusb and esp-idf which mounts as a generic game controller - good enough for my case. I saw some designs for a load cell brake pedal, but I wanted to do it as cheaply as possible first, so I found a stiff spring. Big inspiration was cncdan's design.
They feel great - I borrowed some old logitech pedals to compare the feel and these are much better! I think all in I spent ~$40 USD for the raw materials (spring, hardware, filament, hall sensors + wire, esp32) and a weekend of time.
I have a few co workers who are deep into the current AI trends. I also have the pleasure of reviewing their code. The garbage that gets pushed is insane. I feel I can’t comment on a lot of the issues I see because there’s just so much slop and garbage that hasn’t been thought through that it would be re-writing half of their PR. Maybe it speaks more to their coding ability for accepting that stuff. I see comments that are clearly AI written and pushed like it hasn’t been reviewed by a human. I guard public facing infrastructure and apps as much as I can for fear of this having preventable impacts on customers.
I think this is just more indicative that AI assists can be powerful, but in the hands of an already decent developer.
I kind of lost respect for these developers deep into the AI ecosystem who clearly have no idea what’s being spat out and are just looking to get 8 hours of productivity in the span of 2 or 3.