951–960 of 1001 posts
I’m building FitBee, a fast, ad-free, no-nonsense calorie and macro tracker for iPhone, iPad, and Apple Watch. The app is built with Swift and SwiftUI, with a Python backend. https://apps.apple.com/us/app/fitbee-calorie-macro-counter/i...
It's still early days but this is my passion so I thought I'd turn it into a community site. More socials are coming, right now we are ok X @tokenstead and YouTube coming soon.
Would love some feedback!
1. Create React MCP UIs (and traditional Web UIs) from python without needing a JS runtime installed
2. Provides a deno backed typescript sandbox for agent generated code via pydantic-ai / langchain
A great example use cases is automatically generating UIs for SQL query results.
I'm just glad I had a nice Father's day recently and it paid off. Finger's crossed for more like this.
Very rough but she already loves them and is visibly getting faster. She’s getting to reading words as opposed to reading letters. :)
I got laid off at the end of April and have been building my own personal dream tool since, it's a skeuomorphic carpentry simulator with an agent MCP. You start with real wood specs and a shop full of miter saws, router tables, table saws and the like. Think of it like Sketchup but no extruding rectangles. It's been really fun to build with. Agents can create parametric procedures so e.g. stick framing becomes a simp…
If you are looking to improve the mcp, you should try adding a UI to it (see https://apps.extensions.modelcontextprotocol.io/api/). And the server happens to be in python, you should check out: https://mplemay.github.io/belgie/examples/mcp/. It is a project I have been working on which makes it easy to build MCP UIs from python.
AI quant trading (so that I have another income and can stop being threatened by managers that if I don't meet their unrealistic expecations that I won't have food on the table next year). So far it's going well, 30000% gains on my initial capital in 3 months very gradually over 100K trades. But I need to build some more sleeves because (a) the edge could die any time (b) I hit capacity of that edge and it can only g…
That is a bit of a paradox, as humans need QA checks (missing punctuation, double spacing, unused termbase term) far more than LLMs yet we are still transitioning and require full human oversight just like in any other field. For quality work, of course. LLMs still need correcting many times anyway, even if we feed a load of context like previous translations, terms, style guides. We try to squash the LLM-ese, much like translation-ese has been a problem historically. But thankfully when the output is tightly defined by the source text, we don't have many LLM-isms creeping in compared to free form responses or prose. Retaining voice and meaning would be the main thing. Assuming the source has one! All good translations need a good source -- you'd be surprised what some think is a good source text.
I've been working with a few test clients and have proven workflows for humans alongside the machines to handle files with millions of words, intelligently propagating similar segments, using tokens where required only, compatible with all major tools... I didn't expect to get so far in a year if I'm honest.
What I consider to be best practice AI dev has of course been the major driver. Particularly since last November. Including the ability to work in terminal on my phone from anywhere, often late into night or first thing in morning where a laptop would typically not be feasible for me.
Best practice in my case would be using a secure, batteries-included framework (you can guess which) reading, documenting, planning everything, keeping a context tree updated fwiw, running frequent performance and security audits, real life testing with a high volume, high scale translation shop working for FAANG and Fortune.
I've held out on putting a team together while testing, but I have one ready and might well be able to bring in capital if I can figure out the gap to bridge legacy agencies and new clients in terms of distribution. Or we continue to bootstrap and see how much leverage I can get from automation, pSEO, distribution channels and ads.
Please take a look at: https://languageops.com
A tool that allows me to command dozens of coding agents. Magic happens when you solve the spec-drifting problem of SDD.
Roblox has no native Linux client, and the usual community workarounds quietly assume a fairly modern machine. If you're on something older or low-end, you're mostly out of luck. My children use 14 year old pc's. We did use Sober, however recently support for non AVX CPU's was dropped which is what spawned this project. I built roblox for my children, but the end result performance wise has been amazing so I thought I would share it with you too.
It just hit 1.0 and it genuinely plays well and there's Bazzite / Fedora Atomic support now too.
Would love any feedback, and happy to answer questions.