Comments URL: https://news.ycombinator.com/item?id=49454401

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Comments URL: https://news.ycombinator.com/item?id=49454273

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Comments URL: https://news.ycombinator.com/item?id=49454021

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Comments URL: https://news.ycombinator.com/item?id=49453833

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Comments URL: https://news.ycombinator.com/item?id=49453776

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Quick recap of the I/O: - 13 assignable keys with individual LEDs - rotary encoder - joystick - touch disc - optional edge-lit LED band

The cool part for us was just HOW our agent was able to do it when every other agentic skills, tools, and even commercial platforms failed. We put together a more detailed writeup in the linked blog post (plus pretty pictures!), but long story short, we asked our agentic scientist, Marvin, to treat the electrical engineering as a research problem.

Marvin was able to synthesize vast technical documents and best practice guidelines (e.g. scientific literature), test specific placement and routing strategies (e.g. experiments), and selectively backtrack and combine learnings (e.g. interpreting data analysis). The end result was a fully routed board (made especially challenging by some hard constraints to keep cost down) plus a reusable runbook worfklow that demonstrated Marvin's ability to enter an unfamiliar domain, learn and improve through experimentation, and unlock novel capabilities.

Some future work we've got marinating in our mind grapes: - an app for cross coding agent compatibility (shoutout to lop1381997 for contributing a codex-native firmware) - optional OLED screen, something like an SSD1306 that could fit right into the space between the knob and joystick - optional base with bluetooth and battery for full wireless functionality

Let us know what you think, have any ideas or feature requests, and share pictures if you build it!

Repo: https://github.com/yuz207/agentpad13 Configurator: https://yuz207.github.io/agentpad13/configurator/site/

Comments URL: https://news.ycombinator.com/item?id=49453466

Points: 1

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My main goal is to make it easy for LLMs to auto-discover the CLI commands and access the database, while providing a nice TUI for the user (and I also found it paired very well with Omarchy, so, I also made a plugin to integrate in on Quickshell: https://github.com/DouglasdeMoura/chroncal-bar).

I'd love some feeback, specially to find bugs and missing features you find important.

Comments URL: https://news.ycombinator.com/item?id=49453176

Points: 1

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Comments URL: https://news.ycombinator.com/item?id=49453098

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Comments URL: https://news.ycombinator.com/item?id=49452974

Points: 15

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Comments URL: https://news.ycombinator.com/item?id=49452794

Points: 4

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Comments URL: https://news.ycombinator.com/item?id=49452645

Points: 2

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Comments URL: https://news.ycombinator.com/item?id=49452437

Points: 1

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Here's more info on how it works: https://classify.stylometry.net/how-it-works

Comments URL: https://news.ycombinator.com/item?id=49452362

Points: 1

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It's fully open source and free to use, made for spec driven developers and vibecoders alike. Let me know what you guys think!

Comments URL: https://news.ycombinator.com/item?id=49452359

Points: 1

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Comments URL: https://news.ycombinator.com/item?id=49452281

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Comments URL: https://news.ycombinator.com/item?id=49452051

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The weird part is that I built it using the same ideas we use to make AI-generated websites follow a company’s design system.

I work as an engineer at Magic Patterns, focused on building our Design System Agent, aimed to use your existing brand, components, and conventions instead of producing something that looks like generic AI-generated UI.

By default, models tend to converge on similar-looking designs. This is part of that “vibe coded slop” feeling: the same typography treatments, shadows, cards, icons, animations, etc… My job is to figure out the right context and guardrails so that when you prompt “Build me a dashboard,” the result actually looks like your existing product.

At some point I realized those same ideas could be applied to RCT.

While in web, you might have rules about which typography, colors, spacing, and components should be used together.

In a theme park, you need rules like: rollercoasters need complete tracks, rides need entrances connected to paths, paths need to connect different areas of the park, and a pirate-themed world should actually use pirate-themed scenery.

It was interesting seeing how closely the problem of building a coherent theme park resembled the problem of building a coherent product UI. Similarly with web design, simply giving the model the right components wasn't enough.

I ended up building an eval loop where Magic Patterns would generate a park, another agent would grade it against a rubric, and then the agent would update its rules and skill files before trying again.

The rubric checked things like whether rollercoasters formed valid tracks with at least one drop, whether rides were accessible by paths, whether each world used the appropriate themed scenery, and whether the park worked as a whole.

After a lot of iterations, you can now prompt something as simple as “Build me a cool theme park.” and you should get back a fully functioning park with guests, rides, paths, rollercoasters, and themed worlds.

Best yet, you can also follow the guests, listen to their thoughts, and watch them ride the rides in RCT fashion.

Happy to answer any questions, but would love to see the parks you all create!

Comments URL: https://news.ycombinator.com/item?id=49452037

Points: 4

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KCC's main goal is maximum image quality at significantly smaller file size. For example, KCC

1) can compress a 600 MB manga volume from Humble Bundle to 100 MB. This is mostly accomplished by downscaling to the native resolution of your specific device. This can also improve battery life, page turn speed, and general performance on underpowered ereaders with small memory and storage capacities.

2) fixes black levels to avoid gray/faded blacks found in many Kindle Store manga

3) fixes the rainbow effect on Kaleido 3 color eink without blur using the Discrete Fourier Transform (community PR)

It can also semi-automatically join pre-split 2 page spreads and has several KOreader optimizations as well.

Comments URL: https://news.ycombinator.com/item?id=49451982

Points: 1

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Comments URL: https://news.ycombinator.com/item?id=49451927

Points: 1

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