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A clean, open-source native macOS uninstaller. Completely removes apps and every file they leave behind using smart bundle-identifier detection. SwiftUI + Finder extension.

itshan

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57,638 views • 2 months ago •via X (Twitter)

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Built a native macOS viewer for ledger plain-text accounting file format. Most expense tracking apps are built around lock-in. Proprietary formats, mandatory accounts, servers you don't control. When their VC funding dries up, they shut down or pivot, and you start over. Plain-text accounting takes the opposite approach: your finances live in a .ledger file. Open it in vim. Query it with awk. Put it in git and get a full audit trail of every change you've ever made. It's just a plain text file. Ledge is just a lens over that file. Fast, native, no cloud. Following kepano 's file over app philosophy

Built a native macOS viewer for ledger plain-text accounting file format. Most expense tracking apps are built around lock-in. Proprietary formats, mandatory accounts, servers you don't control. When their VC funding dries up, they shut down or pivot, and you start over. Plain-text accounting takes the opposite approach: your finances live in a .ledger file. Open it in vim. Query it with awk. Put it in git and get a full audit trail of every change you've ever made. It's just a plain text file. Ledge is just a lens over that file. Fast, native, no cloud. Following kepano 's file over app philosophy

Karan Sharma

26,318 views • 6 months ago

MiaoYan is a lightweight, native macOS Markdown editor for writing and notes — one of my open-source macOS projects. It just shipped its biggest update to date, introducing Split View for side-by-side Markdown editing and live preview, with smooth bidirectional scroll sync. This release also brings a full visual refinement, layout cycling between sidebar, list, and focus modes, faster startup with native window animations, and broad performance improvements across editing, preview, and export. Built entirely in Swift, not Electron. MiaoYan is local-first, requires no account, collects no telemetry, and avoids AI features by design. I built it for clean Markdown, performance, and a calm writing environment.

MiaoYan is a lightweight, native macOS Markdown editor for writing and notes — one of my open-source macOS projects. It just shipped its biggest update to date, introducing Split View for side-by-side Markdown editing and live preview, with smooth bidirectional scroll sync. This release also brings a full visual refinement, layout cycling between sidebar, list, and focus modes, faster startup with native window animations, and broad performance improvements across editing, preview, and export. Built entirely in Swift, not Electron. MiaoYan is local-first, requires no account, collects no telemetry, and avoids AI features by design. I built it for clean Markdown, performance, and a calm writing environment.

Tw93

34,665 views • 8 months ago

CCleaner used to be the default way to keep a Windows machine fast. Then it got bought, stuffed with ads and bundled crapware, and in 2017 one release was compromised and shipped malware to over 2 million people. Millions still install it every month because nothing else has really replaced it. So, a team called AdventDev just built a free, open-source replacement. It's called Kudu. Open the app and you get one dashboard for the whole machine. > System cleaner for temp files, logs, caches, and crash dumps. > Browser cleaner across every major browser. > Gaming cleaner for launcher and shader caches. > Registry cleaner for broken and orphaned entries. > Startup manager that shows the actual boot impact of each program. > Disk analyzer with an interactive treemap, so you can see where 40GB quietly disappeared to. > Debloater that rips Windows bloatware out. > Program uninstaller that also removes the leftovers other uninstallers leave behind. Then it does the parts CCleaner never did. A malware scanner with signature matching, heuristic analysis, and Windows Defender integration. A privacy shield that lets you flip 30+ Windows privacy settings from one screen: telemetry, ad ID, Cortana, tracking. Secure delete that overwrites files with random data before removing them, so nothing can recover them later. There's a real-time performance monitor with per-core CPU, memory, disk, network, and S.M.A.R.T. drive health. A one-click restore point before every clean, so you can roll back. Scheduled scans. A CLI mode for people who don't want a GUI. Support for 30 languages. Native app for Windows, macOS, and Linux. Intel and Apple Silicon builds. No ads, no upsells, no telemetry, no account. The cleaning rules are plain JSON files, so if your favorite app isn't covered yet, you can add support for it without writing a line of code. MIT license. 100% Open Source. Repo:

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Brady Long

149,822 views • 2 months ago

These young black people were born here and educated here. Despite that they hang out exclusively among their own ethnicity and they behave in a completely different way to how native children from the same areas behave. It is the ultimate demonstration of why remigration is required. Assimilation is a myth. London is an ethnically segregated third world shithole and its only redeeming features are the things built by our native ancestors. The immigrants have only made London worse and it’s why natives are taking every opportunity to leave to the shires. If you have no native blood you need to leave. We can talk about exemptions and possible carve outs later but we must start from the assumption they must all leave and work backwards from there.

These young black people were born here and educated here. Despite that they hang out exclusively among their own ethnicity and they behave in a completely different way to how native children from the same areas behave. It is the ultimate demonstration of why remigration is required. Assimilation is a myth. London is an ethnically segregated third world shithole and its only redeeming features are the things built by our native ancestors. The immigrants have only made London worse and it’s why natives are taking every opportunity to leave to the shires. If you have no native blood you need to leave. We can talk about exemptions and possible carve outs later but we must start from the assumption they must all leave and work backwards from there.

Wolf 🐺

74,369 views • 5 months ago

Woow Tencent has released a model 100% open source which is better than Google Translate... And it runs locally on your phone?! - Only 440MB (!!) - 33 languages - On-device translation So we have now a local Google Translate which is running completely offline. They are using AngelSlim which their compression toolkit. That's why the model is so efficient.

Woow Tencent has released a model 100% open source which is better than Google Translate... And it runs locally on your phone?! - Only 440MB (!!) - 33 languages - On-device translation So we have now a local Google Translate which is running completely offline. They are using AngelSlim which their compression toolkit. That's why the model is so efficient.

Paul Couvert

142,577 views • 4 months ago

Introducing my new app Dumb Phone 🚀 🥳 (Dumb Phone) Avoid easy distractions and dopamine hits, with a minimalist style phone. Try it out 👉 🔨 9 days start to finish 💩 18 days to get past App Store review Dumb Phone swaps flashy icons / colours with a sleek and minimal Home Screen for accessing essential apps. I've been using this every day for the last month and my screen time has nosedived. When I pick my phone I don't open random things anymore and it has completely changed how I interact with it. Try it out for yourself, add the apps that you use most of the time, and let me know what you think! (and leave a nice review 🙏 😄) Download on the App Store here; I've tried to include many popular + indie apps so you can easily add them to your new Home Screen. 😊 Thank you to everybody who has given me feedback, appreciate your support. ❤️ ❤️ #buildinpublic #productivity #minimalism #dumbphone

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Michael Tigas

112,956 views • 2 years ago

EVERYONE'S TRYING TO SOLVE AI TEAM MEMORY WITH SERVERS, VECTOR DATABASES, AND ORCHESTRATION PLATFORMS. THIS OPEN SOURCE TOOL DOES IT WITH ONE FOLDER IN YOUR REPO. Every dev on your team runs Claude Code. When one agent screws something up, the rest have no idea. They just repeat the mistake next week. It's called teamlore. When your agent gets corrected or breaks something, it writes a small lore file into a .lore/ folder. That file ships with your PR, gets reviewed like normal code, and after merge every teammate's agent automatically recalls it when they touch that part of the repo. No server. No datab No accounts. No SaaS bill. Just a folder in git. Which means code review catches bad lessons before they poison the team, git blame tells you when a rule was added and why, and the whole thing works offline. One command to install: npx teamlore init Companion command: npx teamlore scarmap. Turns your team's history of mistakes into a visual heat map of the codebase. Every red zone is a place your team has been burned before. Which means every red zone is a place your agents should slow down. Here's the wildest part. The teamlore repo's own .lore/ folder contains every mistake Claude made while building teamlore itself. Dogfooded end-to-end. You can literally open the folder and read the receipts. The author's public invitation: "Would love for someone to try and break it." Available on npm. Repo just launched. 100% open source. (link in the comments)

EVERYONE'S TRYING TO SOLVE AI TEAM MEMORY WITH SERVERS, VECTOR DATABASES, AND ORCHESTRATION PLATFORMS. THIS OPEN SOURCE TOOL DOES IT WITH ONE FOLDER IN YOUR REPO. Every dev on your team runs Claude Code. When one agent screws something up, the rest have no idea. They just repeat the mistake next week. It's called teamlore. When your agent gets corrected or breaks something, it writes a small lore file into a .lore/ folder. That file ships with your PR, gets reviewed like normal code, and after merge every teammate's agent automatically recalls it when they touch that part of the repo. No server. No datab No accounts. No SaaS bill. Just a folder in git. Which means code review catches bad lessons before they poison the team, git blame tells you when a rule was added and why, and the whole thing works offline. One command to install: npx teamlore init Companion command: npx teamlore scarmap. Turns your team's history of mistakes into a visual heat map of the codebase. Every red zone is a place your team has been burned before. Which means every red zone is a place your agents should slow down. Here's the wildest part. The teamlore repo's own .lore/ folder contains every mistake Claude made while building teamlore itself. Dogfooded end-to-end. You can literally open the folder and read the receipts. The author's public invitation: "Would love for someone to try and break it." Available on npm. Repo just launched. 100% open source. (link in the comments)

Harman

35,140 views • 1 month ago

We finally have a "Figma for AI agents." It's called Awesome-design-md. A curated collection of UI systems extracted from 50+ top websites, formatted specifically for coding agents. Instead of parsing screenshots or messy design files, you drop a DESIGN.md straight into your project. It upgrades your AI's UI skills instantly. > Unlocks 50+ elite design systems: Cursor, Vercel, Stripe, Spotify, SpaceX, and more > Structured into 9 clear sections: typography, spacing, elevation, rules > Includes light/dark previews for quick visual checks > Uses Google Stitch's native plain-text format for LLMs Every file also comes with an Agent Guide, ready-to-use prompts included. 100% Free. Open Source.

We finally have a "Figma for AI agents." It's called Awesome-design-md. A curated collection of UI systems extracted from 50+ top websites, formatted specifically for coding agents. Instead of parsing screenshots or messy design files, you drop a DESIGN.md straight into your project. It upgrades your AI's UI skills instantly. > Unlocks 50+ elite design systems: Cursor, Vercel, Stripe, Spotify, SpaceX, and more > Structured into 9 clear sections: typography, spacing, elevation, rules > Includes light/dark previews for quick visual checks > Uses Google Stitch's native plain-text format for LLMs Every file also comes with an Agent Guide, ready-to-use prompts included. 100% Free. Open Source.

Simplifying AI

12,824 views • 2 months ago

Qwen just released Qwen-Image-2.1, and this is exactly why open models matter. I loaded it onto my NVIDIA DGX Spark and built Spark Image Lab, a local image generation and editing workspace designed for the DGX Spark ecosystem. QWEN-IMAGE-2.1 • Text-to-image generation • Image editing • Native transparent/RGBA workflows • Up to 10 reference images • Strong identity and product preservation • Improved typography, lighting, textures and detail SPARK IMAGE LAB • Clean Gradio interface • Width and height controls • Steps, seed and batch controls • Persistent generation history • Prompts and settings saved with every result • Reference images saved and restored • Docker setup for DGX Spark • Measured DGX Spark performance benchmarks Everything runs locally. Spark Image Lab is now open source under the MIT License. This is the first public alpha, so clone it, test it on your DGX Spark, open an issue and show me what you create. MODEL REPO

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Joey

23,578 views • 6 days ago

i just open sourced the workflow behind $2M AI video productions... i built 7 skills that run the pipeline end to end, built for Seedance 2.5 and they work in Claude Code, Codex, Hermes or any harness (works best with 1080p using Higgsfield CLI) here's how to use them, in order: /setup writes which image and video models you run into your project, once, so every skill reads the same stack /studio-init scaffolds the whole studio as a file tree from one question, the project name /film-breakdown walks your script scene by scene and writes a 22-field card for every shot /reference-board locks your references into a visual bible, a caption on every image and a ban list for the rest /asset-passport writes the exhaustive descriptor every later prompt will quote word for word /stress-test combat-tests each asset and flips it to locked only at 10 out of 10 repeatability /shot-prompt refuses to run until everything in frame is locked, then writes the 15-block prompt and logs every attempt get access to the skills and full breakdown of the pipeline in the article below:

i just open sourced the workflow behind $2M AI video productions... i built 7 skills that run the pipeline end to end, built for Seedance 2.5 and they work in Claude Code, Codex, Hermes or any harness (works best with 1080p using Higgsfield CLI) here's how to use them, in order: /setup writes which image and video models you run into your project, once, so every skill reads the same stack /studio-init scaffolds the whole studio as a file tree from one question, the project name /film-breakdown walks your script scene by scene and writes a 22-field card for every shot /reference-board locks your references into a visual bible, a caption on every image and a ban list for the rest /asset-passport writes the exhaustive descriptor every later prompt will quote word for word /stress-test combat-tests each asset and flips it to locked only at 10 out of 10 repeatability /shot-prompt refuses to run until everything in frame is locked, then writes the 15-block prompt and logs every attempt get access to the skills and full breakdown of the pipeline in the article below:

Machina

61,554 views • 1 month ago

SOMEONE BUILT A TERMINAL TORRENT CLIENT THAT SEARCHES EVERY TRUSTED SOURCE AT ONCE AND DOWNLOADS STRAIGHT TO DISK finding a torrent in 2026 is miserable fake download buttons, popups that spawn three more tabs, and half the results are dead with zero seeders. so he built the opposite of all that: > type one query and it hits a curated set of trackers all at once > results stream back tagged with source, size and seeders as fast as each site answers > arrow to the one you want, press d, and it lands on your drive > if one source is down it just skips it and keeps searching the rest > downloads run in the background and pick up where they left off if you quit mid transfer the whole thing is one command. npx and youre running, all you need is node, no browser, no setup, nothing leaves your machine except the request itself. its called torlink, open source and mit. this is the kind of clean terminal tool that does one annoying thing perfectly

SOMEONE BUILT A TERMINAL TORRENT CLIENT THAT SEARCHES EVERY TRUSTED SOURCE AT ONCE AND DOWNLOADS STRAIGHT TO DISK finding a torrent in 2026 is miserable fake download buttons, popups that spawn three more tabs, and half the results are dead with zero seeders. so he built the opposite of all that: > type one query and it hits a curated set of trackers all at once > results stream back tagged with source, size and seeders as fast as each site answers > arrow to the one you want, press d, and it lands on your drive > if one source is down it just skips it and keeps searching the rest > downloads run in the background and pick up where they left off if you quit mid transfer the whole thing is one command. npx and youre running, all you need is node, no browser, no setup, nothing leaves your machine except the request itself. its called torlink, open source and mit. this is the kind of clean terminal tool that does one annoying thing perfectly

Om Patel

363,056 views • 2 months ago

WELCOME TO THE FUTURE: THE WALLS HAVE EYES… AND THEY WANT YOUR DIRTY LAUNDRY Finally, a smart home feature that solves the real crisis: carrying socks across the house. This system uses pneumatic tubes — yes, like the ones that shoot checks at drive-thru banks — to vacuum your clothes through the walls and drop them straight into the washer. Behind the scenes? Air turbines, sealed conduits, motion sensors, and just enough pressure to launch your underwear at 30 feet per second without turning it into shrapnel. Laundry chutes are for peasants. This is tactical garment extraction. It’s the future of clean — part NASA, part suburban sci-fi, and 100% powered by your desire to never touch a hamper again. Source: health flow78, Sach Robots

WELCOME TO THE FUTURE: THE WALLS HAVE EYES… AND THEY WANT YOUR DIRTY LAUNDRY Finally, a smart home feature that solves the real crisis: carrying socks across the house. This system uses pneumatic tubes — yes, like the ones that shoot checks at drive-thru banks — to vacuum your clothes through the walls and drop them straight into the washer. Behind the scenes? Air turbines, sealed conduits, motion sensors, and just enough pressure to launch your underwear at 30 feet per second without turning it into shrapnel. Laundry chutes are for peasants. This is tactical garment extraction. It’s the future of clean — part NASA, part suburban sci-fi, and 100% powered by your desire to never touch a hamper again. Source: health flow78, Sach Robots

Mario Nawfal

259,690 views • 1 year ago

Making a camera was way harder than I thought. Here's what I learned: If you want smart phone level camera, you can't just buy a smartphone camera component That's because cameras talk to a special chip (ISP) that does all kinds of magic There's special image software too, and you can't do it yourself, so it's gonna cost you $100-250k for that software that does tuning, HDR, MFNR, etc. Takes months to implement properly Then it's even worse if you want to livestream. Since you can't do the processing after the fact, you've gotta make all that special software run realtime on a resource constrained processor You also gotta realize our hands and heads aren't stable at all. The video is shaky until you do electronic image stabilization (EIS) If you don't do every single one of these right, then you'll have potato-quality video After all this work, we've now got something really good, and I'm amped to ship Mentra Live smart glasses because it's a smart phone quality camera that sees what you see, live streams anywhere, and has an open-source SDK you can build apps with.

Making a camera was way harder than I thought. Here's what I learned: If you want smart phone level camera, you can't just buy a smartphone camera component That's because cameras talk to a special chip (ISP) that does all kinds of magic There's special image software too, and you can't do it yourself, so it's gonna cost you $100-250k for that software that does tuning, HDR, MFNR, etc. Takes months to implement properly Then it's even worse if you want to livestream. Since you can't do the processing after the fact, you've gotta make all that special software run realtime on a resource constrained processor You also gotta realize our hands and heads aren't stable at all. The video is shaky until you do electronic image stabilization (EIS) If you don't do every single one of these right, then you'll have potato-quality video After all this work, we've now got something really good, and I'm amped to ship Mentra Live smart glasses because it's a smart phone quality camera that sees what you see, live streams anywhere, and has an open-source SDK you can build apps with.

cayden 凯登

131,147 views • 11 months ago

NewJeans was never a group built around musical talent. They weren't selected for that, but using shamanism. HK Comic Con showed what NewJeans looks like without HYBE's budget, production, camera work, and marketing machine behind them. They were a marketing product. A group that, would trade any tour for two more brand deals, because that's how their hype was maintained. That's also why having to share brand deals with another gg seemed to upset them more than not being able to perform. And why they pursued brand deals as the very first thing after trying to leave ADOR—which, in the end, is part of what led them to where they are now. There are way more talent people singing on 🚇 every day, what they don't have it is the silver spoon offered to newjeans and the BTS little sister marketing even before debut....

Yoong⟬⟭na⊙⊝⊜🎀🐱⁷

63,986 views • 3 months ago

Can you imagine this RCA was completely occluded? We recently treated a young patient with a chronic total occlusion (CTO) of the RCA. Given the poor antegrade options and well-developed collaterals, we opted for a retrograde approach. After successful crossing, lesion preparation was followed by a "leave-nothing-behind" strategy using four drug-coated balloons (DCBs)—no stents implanted. The image you can see below is a follow up performed 3 months after the CTO PCI. Why this approach? Preserves native vessel function and vasomotion Avoids permanent implants and associated long-term risks Reduces need for prolonged DAPT Makes future interventions easier, especially valuable in younger patients. AGIK PCRonline 🫀 SCAI #cardiotwitter Shariq Shamim Erik Rafflenbeul Mamas A. Mamas Dr Alo, DO, FACC C. Michael Gibson MD Gregg W. Stone MD Dr. Martha Gulati ♥️🫀❤️‍🩹🇨🇦 Dmitry Sulimov Evandro Martins F. MD

Can you imagine this RCA was completely occluded? We recently treated a young patient with a chronic total occlusion (CTO) of the RCA. Given the poor antegrade options and well-developed collaterals, we opted for a retrograde approach. After successful crossing, lesion preparation was followed by a "leave-nothing-behind" strategy using four drug-coated balloons (DCBs)—no stents implanted. The image you can see below is a follow up performed 3 months after the CTO PCI. Why this approach? Preserves native vessel function and vasomotion Avoids permanent implants and associated long-term risks Reduces need for prolonged DAPT Makes future interventions easier, especially valuable in younger patients. AGIK PCRonline 🫀 SCAI #cardiotwitter Shariq Shamim Erik Rafflenbeul Mamas A. Mamas Dr Alo, DO, FACC C. Michael Gibson MD Gregg W. Stone MD Dr. Martha Gulati ♥️🫀❤️‍🩹🇨🇦 Dmitry Sulimov Evandro Martins F. MD

Dr. Krzysztof Pujdak

21,142 views • 1 year ago

Introducing a new tool called "SideChannel". A secure alternative to OpenClaw. Utilizes signal for communication and has Claude integration. I built SideChannel, an open-source Signal bot that connects Claude AI to your entire development workflow. End-to-end encrypted. From your pocket. The real power is autonomous development. Send one message like "Build a REST API with auth, pagination, and tests" and SideChannel will: - Generate a full PRD with stories and atomic tasks. - Dispatch up to 10 parallel workers (each running Claude). - Independently verify every task with a separate Claude context. - Run quality gates to catch regressions - Auto-fix failures. - Send you progress updates via Signal as work completes. Every piece of code is reviewed by a separate AI context using a fail-closed security model. If it detects security issues, backdoors, or logic errors — the code gets rejected automatically. No rubber stamps. It also has memory that actually works. Conversations are stored with vector embeddings for semantic search. Claude remembers your project conventions, past decisions, and what's been tried before. It gets smarter about your codebase over time. Other things I'm proud of: - Plugin framework for extending with custom commands. - Multi-project support with per-user scoping. - Rate limiting, path validation, phone allowlist. - Git checkpoints before every task, atomic commits after. - Stale task recovery, circular dependency detection. - Works on Linux and macOS, one-command install. It also integrates into OpenAI or Grok (optional) for more Generative AI response for simple things like "Whats the weather in New York City right now?".

Introducing a new tool called "SideChannel". A secure alternative to OpenClaw. Utilizes signal for communication and has Claude integration. I built SideChannel, an open-source Signal bot that connects Claude AI to your entire development workflow. End-to-end encrypted. From your pocket. The real power is autonomous development. Send one message like "Build a REST API with auth, pagination, and tests" and SideChannel will: - Generate a full PRD with stories and atomic tasks. - Dispatch up to 10 parallel workers (each running Claude). - Independently verify every task with a separate Claude context. - Run quality gates to catch regressions - Auto-fix failures. - Send you progress updates via Signal as work completes. Every piece of code is reviewed by a separate AI context using a fail-closed security model. If it detects security issues, backdoors, or logic errors — the code gets rejected automatically. No rubber stamps. It also has memory that actually works. Conversations are stored with vector embeddings for semantic search. Claude remembers your project conventions, past decisions, and what's been tried before. It gets smarter about your codebase over time. Other things I'm proud of: - Plugin framework for extending with custom commands. - Multi-project support with per-user scoping. - Rate limiting, path validation, phone allowlist. - Git checkpoints before every task, atomic commits after. - Stale task recovery, circular dependency detection. - Works on Linux and macOS, one-command install. It also integrates into OpenAI or Grok (optional) for more Generative AI response for simple things like "Whats the weather in New York City right now?".

Dave Kennedy

49,572 views • 7 months ago

CHINA JUST LEAKED THE FUTURE OF WEB APPS. Alibaba open-sourced PageAgent and 99% of SaaS founders are sleeping on this. It's a JavaScript AI agent that lives INSIDE your webpage. Users control your entire interface with natural language. ↳ No browser extensions needed, screenshots or multi-modal LLMs, headless browser setup, and also no backend rewrite required Just drop it in your HTML with ONE line of code. What took 20 clicks now takes one sentence. "Click login, fill in my credentials, submit the form" Done. This is not a demo, it is production-ready. ↳ Turn any SaaS into an AI copilot in minutes ↳ Smart form filling for ERP, CRM, admin systems ↳ Voice commands and accessibility built in ↳ Multi-page agent tasks via Chrome extension ↳ MCP server support for external control ↳ Bring your own LLM (Qwen, GPT, Claude, anything) Every founder building AI features just got a shortcut. Every developer manually building copilots just got replaced. The integration looks like this: That's it. Your app now has an AI agent.

CHINA JUST LEAKED THE FUTURE OF WEB APPS. Alibaba open-sourced PageAgent and 99% of SaaS founders are sleeping on this. It's a JavaScript AI agent that lives INSIDE your webpage. Users control your entire interface with natural language. ↳ No browser extensions needed, screenshots or multi-modal LLMs, headless browser setup, and also no backend rewrite required Just drop it in your HTML with ONE line of code. What took 20 clicks now takes one sentence. "Click login, fill in my credentials, submit the form" Done. This is not a demo, it is production-ready. ↳ Turn any SaaS into an AI copilot in minutes ↳ Smart form filling for ERP, CRM, admin systems ↳ Voice commands and accessibility built in ↳ Multi-page agent tasks via Chrome extension ↳ MCP server support for external control ↳ Bring your own LLM (Qwen, GPT, Claude, anything) Every founder building AI features just got a shortcut. Every developer manually building copilots just got replaced. The integration looks like this: That's it. Your app now has an AI agent.

Kanika

333,533 views • 2 months ago

this is straight f*cking gold the full harness guide for Kimi K3, the #1 open source frontend model the premise: the model underneath keeps changing. the harness is the part that stays yours what one night of it looks like: 02:00 - the trigger fires, every node that needs work gets picked > 212 agents fan out, one per node > a bad return gets rejected, retried once with the reason attached > one agent tries to write outside its folder. blocked. nobody woken up > +41 nodes and +96 edges land in the graph > a drafted email hits pre_send and waits for you 02:41 - the loop stops on its own, inside a 45 minute budget 07:30 - you read one file and make two decisions the whole machine is one folder, one config file, five short scripts two rules hold it together: > the model sits behind one line, so a better model is a config change > the verifier lives outside the agent, so nothing grades its own work now the money part companies burn whole quarters building internal agent platforms a harness setup for a small team goes for four figures, one time then a monthly retainer to run the swap test on every new model release models come and go. the person who owns the harness keeps getting paid

this is straight f*cking gold the full harness guide for Kimi K3, the #1 open source frontend model the premise: the model underneath keeps changing. the harness is the part that stays yours what one night of it looks like: 02:00 - the trigger fires, every node that needs work gets picked > 212 agents fan out, one per node > a bad return gets rejected, retried once with the reason attached > one agent tries to write outside its folder. blocked. nobody woken up > +41 nodes and +96 edges land in the graph > a drafted email hits pre_send and waits for you 02:41 - the loop stops on its own, inside a 45 minute budget 07:30 - you read one file and make two decisions the whole machine is one folder, one config file, five short scripts two rules hold it together: > the model sits behind one line, so a better model is a config change > the verifier lives outside the agent, so nothing grades its own work now the money part companies burn whole quarters building internal agent platforms a harness setup for a small team goes for four figures, one time then a monthly retainer to run the swap test on every new model release models come and go. the person who owns the harness keeps getting paid

Mr. Buzzoni

12,633 views • 9 days ago

Impeccable 3.7 brings linting to design. Until now it was a skill you asked for help. Now it's a design-system-aware feedback loop that runs while your agent builds, catching slop and design drift before they land. 🪝 Design hooks for Claude, Codex, and Cursor They run after every UI edit and quietly nudge your agent to fix slop and drift. The output isn't another wall of lint: it separates new findings from already-seen ones, flags clean scans, and asks the agent to use judgment. Fix real issues, leave intentional demos alone, save exceptions to config instead of littering your source. 🎨 Slop detection is now project-aware Reads your actual design system from DESIGN.md, your typography, palette, radius scale, and tokens, and flags drift from your system, not just generic AI slop: • this font isn't in your design system • this color is outside your documented palette • this radius doesn't match your rounded scale The same engine powers both the hooks and the CLI, and it's where we're investing next. 🖥️ Live Mode, ready for real projects Svelte/SvelteKit now preview variants as temporary framework components with live params, then accept cleanly back into your source component. Manual text edits got evidence / apply / discard routes, insertions preserve their anchors, and mapped lists and JSX slots clean up far more reliably. ⚡ Leaner core, sharper detector Rule-level evals across 3 providers and 4 niches cut guidance with no measurable lift and dropped examples that taught models bad patterns. The detector now skips hidden and screen-reader-only elements, understands OKLCH alpha and Sass-like inputs, and tightened checks for repeated kickers, oversized H1s, clipped overflow, and cramped padding. 🛠️ CLI caught up impeccable detect loads DESIGN.md by default, motion findings name the exact token or cubic-bezier instead of just "bounce," and impeccable ignores gives real CRUD for exceptions. Hooks and CLI share the same ignores. No split-brain config. Plus a much-improved interactive installer with hooks setup built in. Upgrade: npx impeccable install npm i -g impeccable

Impeccable 3.7 brings linting to design. Until now it was a skill you asked for help. Now it's a design-system-aware feedback loop that runs while your agent builds, catching slop and design drift before they land. 🪝 Design hooks for Claude, Codex, and Cursor They run after every UI edit and quietly nudge your agent to fix slop and drift. The output isn't another wall of lint: it separates new findings from already-seen ones, flags clean scans, and asks the agent to use judgment. Fix real issues, leave intentional demos alone, save exceptions to config instead of littering your source. 🎨 Slop detection is now project-aware Reads your actual design system from DESIGN.md, your typography, palette, radius scale, and tokens, and flags drift from your system, not just generic AI slop: • this font isn't in your design system • this color is outside your documented palette • this radius doesn't match your rounded scale The same engine powers both the hooks and the CLI, and it's where we're investing next. 🖥️ Live Mode, ready for real projects Svelte/SvelteKit now preview variants as temporary framework components with live params, then accept cleanly back into your source component. Manual text edits got evidence / apply / discard routes, insertions preserve their anchors, and mapped lists and JSX slots clean up far more reliably. ⚡ Leaner core, sharper detector Rule-level evals across 3 providers and 4 niches cut guidance with no measurable lift and dropped examples that taught models bad patterns. The detector now skips hidden and screen-reader-only elements, understands OKLCH alpha and Sass-like inputs, and tightened checks for repeated kickers, oversized H1s, clipped overflow, and cramped padding. 🛠️ CLI caught up impeccable detect loads DESIGN.md by default, motion findings name the exact token or cubic-bezier instead of just "bounce," and impeccable ignores gives real CRUD for exceptions. Hooks and CLI share the same ignores. No split-brain config. Plus a much-improved interactive installer with hooks setup built in. Upgrade: npx impeccable install npm i -g impeccable

Impeccable

233,051 views • 3 months ago