Show HN: I used AI to recreate a $4000 piece of audio hardware as a plugin

Very nice work. I’m curious: what kinds of projects are you guys currently working on that genuinely push you out of your comfort zone?

I had a small epiphany a couple of weeks ago while thinking about robot skin design: using conductive 3D-printed structures whose electrical properties change under strain, combined with electrical impulses, a handful of electrodes, a machine-learning model to interpret the measurements, and computational design to optimize the printed geometry.

While digging into the literature, I realized that what I was trying to do already has a name: proprioception via electrical impedance tomography. It turns out the field is very active right now.

https://www.cam.ac.uk/stories/robotic-skin

That realization led me to build a Bergström–Boyce nonlinear viscoelastic parallel rheological simulator using Taichi. This is far outside my comfort zone. I’m just a regular programmer with no formal background in physics (apart from some past exposure to Newton-Raphson).

Interestingly, my main contribution hasn’t been the math. It’s been providing basic, common-sense guidance to my LLM. For example, I had to explicitly tell it which parameters were fixed by experimental data and which ones were meant to be inferred. In another case, the agent assumed that all the red curves in the paper I'm working with referred to the same sample, when they actually correspond to different conducting NinjaFlex specimens under strain.

Correcting those kinds of assumptions, rather than fixing equations, was what allowed me to reproduce the results I was seeking. I now have an analytical, physics-grounded model that fits the published data. Mullins effect: modeled. Next up: creep.

We’ll see how far this goes. I’ll probably never produce anything publishable, patentable, or industrial-grade. But I might end up building a very cheap (and hopefully not that inaccurate), printable proprioceptive sensor, with a structure optimized so it can be interpreted by much smaller neural networks than those used in the Cambridge paper.

If that works, the gesture will have been worth it.

Pro as in pros and cons, not as in professional.

As someone who works at a place where we do a lot of code analysis and also research AI's effect on code quality, if you do not even so much as look at your code anymore, I do not believe you are creating maintainable, quality software. Maybe you don't need to, or care to, but it's definitely not what's sustainable in long-term product companies.

AI is a force multiplier - it makes bad worse, it _can_ make good better. You need even more engineering disciplines than before to make sure it's the latter and not the former. Even with chaining code quality MCP's and a whole bunch of instructions in AGENTS.md, there's often a need to intervene and course adjust, because AI can either ignore AGENTS.md, or because whatever can pass code quality checks does not always mean the architecture is something that's solid.

That being said, I do agree our job is changing from merely writing code, to more of a managerial title, like you've said. But, there's a new limit - your ability to review the output, and you most definitely should review the output if you care about long-term sustainable, quality software.

Good points. Works both ways though, you are splitting your time between two worlds, and don't have a fully clear view on the costs of bad choices on a small business

to know this you need to know what processes these businesses have been using for the past decade to run real full time business with full time staff. for example, you don't know just how bad the prior systems were, that the self built systems replaced.

with all due respect you don't have all the info to make the calculation on my world. just as I don't have it for yours.

the same tool that helped me build our systems, is not going to be the same tool that helps you maintain your large code base. But my point is, that I'm on the front line of change, and my guess is it's not going to be limited to my size of business. I don't know what your tool will look like, but I'd bet it's coming

Well I'm glad you find new ways to progress on whatever you find interesting.

This honestly though does not help me to estimate if what you claim to be is what it is. I'm not necessarily the audience for either project but my point remains :

- when somebody claims to recreate something, regardless of why and how, it helps to understand how close they actually got.

It's not negative criticism by the way. I'm not implying you did not faithfully enough recreate the DSP (or the other person the NES). I'm only saying that for outlookers, people like me who could be potentially interested, who do NOT have a good understanding of the process nor the initial object recreated, it is impossible to evaluate.