Building @CleanSlop | Meta tools for AI devs and bringing reliable engineering practices to slopcoded apps | Prev @PowerLoom @BlockVigil

Joined October 2014
Anomit retweeted
One line in your agent, and CleanSlop signs you in, scans your app and fixes what matters! Built on @stripe's new Link Agent Identity. We're on @ProductHunt today 👇 producthunt.com/products/cle…
I've been teasing this for a while, and I'm really excited to finally ship it: CleanSlop is now fully agentic 🔥 Paste one line into Claude Code, Codex, Cursor, Grok Bot or Muse 👇 Scan with cleanslop.com This is a big step up from our first release last month. Back then @CleanSlop was a website: you'd leave your agent to sign up, connect GitHub, run a scan and read the report, then paste it all back in. Now the whole thing happens inside your agent, with a leaner workflow and an overhauled, faster engine underneath. Your agent signs you in, scans the folder you're in, fixes what's worth fixing, and rescans to check the fixes held. When you run out of scans, it offers a pack or a plan, and you approve it in Link. That's the only time you touch anything. All of this is backed by @link Agent Identity, @stripe's new identity product for agents, and we're one of the first companies to integrate it across the entire workflow. Your agent presents Link's attestation that a real person stands behind it, along with your Link-verified email, right from the CLI. There's no form, no password and no trip to a website. It supports TypeScript/Node.js apps today, and it's sharpest on Next.js + Supabase. Link Agent Identity is US and Canada only for now; everywhere else, your agent signs in with GitHub. We're on @ProductHunt today. If you build with AI, I'd love for you to try it and tell me where it gets confusing or where your agent gets stuck 🙏
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The heady mix of exhaustion and accomplishment is real today. The second major, 100% agentic, release of @CleanSlop is on Product Hunt today. It supports Stripe's @Link agent identity to attest to the validity of an agent. We are among the first few products at the moment to integrate it throughout our workflow. And cleanslop.com is a first-class agentic resource at this point. Just point your agent or assistant to it in the context of the codebase you want to work on. Also, definitely a good time to clear out recurring queries and refrains that we keep running into. (blogs and docs will be up once the dust settles from handling the influx from this release) - This is a deterministic risk scanning and surfacing engine that has been trained on 25+ categories of where and when things can go wrong. How do we know where to look? Just check the scale of things we have worked on in the last decade. - Techincally, it is static analysis. We haven't gotten to the runtime yet. And it is currently monofocussed on vibecoded webapps that are typically generated on Next.js/TS/Supabase sort of stack. iOS support coming soon. - The engine is continually trained, updated and refined on widely available public corpora of codebases as well as synthetically generated ones. We can promise our results and findings will only get better with time, not regress. - WE ARE NOT A LLM WRAPPER AND YOUR CODE DOES NOT GET SHIPPED TO RANDOM LLM PROVIDERS. Can not stress this enough. We have a ZDR in place if you don't want to include your codebase for training purposes, and when it comes to multi-phased scans where the scanner surfaces findings it is not confident on, only slices of callgraphs, import trees etc are consulted with decision models like @typesafeai Jev or @Cloudflare Clef. - This is NOT a security audit. This is not a package or collection of SKILL.md files that require an LLM subscription from you. This is definitely something that will bring to attention what will break when internet scale traffic and users hit your app.
I've been teasing this for a while, and I'm really excited to finally ship it: CleanSlop is now fully agentic 🔥 Paste one line into Claude Code, Codex, Cursor, Grok Bot or Muse 👇 Scan with cleanslop.com This is a big step up from our first release last month. Back then @CleanSlop was a website: you'd leave your agent to sign up, connect GitHub, run a scan and read the report, then paste it all back in. Now the whole thing happens inside your agent, with a leaner workflow and an overhauled, faster engine underneath. Your agent signs you in, scans the folder you're in, fixes what's worth fixing, and rescans to check the fixes held. When you run out of scans, it offers a pack or a plan, and you approve it in Link. That's the only time you touch anything. All of this is backed by @link Agent Identity, @stripe's new identity product for agents, and we're one of the first companies to integrate it across the entire workflow. Your agent presents Link's attestation that a real person stands behind it, along with your Link-verified email, right from the CLI. There's no form, no password and no trip to a website. It supports TypeScript/Node.js apps today, and it's sharpest on Next.js + Supabase. Link Agent Identity is US and Canada only for now; everywhere else, your agent signs in with GitHub. We're on @ProductHunt today. If you build with AI, I'd love for you to try it and tell me where it gets confusing or where your agent gets stuck 🙏
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DeepSeek just published the price of a token, and it should make you angry. From their own DeepInfer docs: 1 cluster serves 155 trillion tokens a day, at $38 of revenue per GPU-hour, and thats at off-peak prices. Their API is $0.30 per million input tokens and $1.20 per million output at peak. Yuchen Jin did the math: even if they rented B300s at $7 an hour, thats about 82% gross margin. Other estimates go higher. So cheap AI is not charity and it is not "dumping". At these prices serving a frontier-class model is a very profitable business, if your inference stack is good enough. Now remember every time a US lab told you that intelligence is expensive. That $200 a month is a fair price. That limits exist because compute is scarce. Part of that is true. Part of it is a business model built on you not knowing what a token actually costs. DeepSeek just showed everyone the numbers and gave away the engine. Every inference company can now compete on price with the same software. Thats how AI gets cheap for everyone.
“A single cluster currently serves 155 trillion tokens/day, generating $38 in revenue per GPU-hour (at off-peak pricing).” Huge flex from DeepSeek. Not only did they open-source their inference engine, but they also open-sourced their revenue numbers. They didn't disclose which GPUs they're using here, but DeepInfer supports both NVIDIA Blackwell and Huawei Ascend. Even assuming they're renting B300s at $7 per GPU-hour, that's ~82% gross margin.
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Decentralization was supposed to solve the fiascos that have come out of centralized dependencies. Filesystems, package repos, mirrors, name roots (I recall Handshake Protocol). Instead we let zyn coke addicted Wall St. quant imports to ruin the show with their casino greed BS.
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Google has refused to acknowledge issues with their Pixel 8 Pro WiFi for almost a year. And I continue seeing major system updates pushed at least once in a month, sometimes twice. At this point, it has become an unusable brick. Planned obsolence is a real thing.
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Working with @SwaroopH is super fulfilling on this. His crazy product brain took over the harder work of exposing the @CleanSlop backend harness to multiple carefully crafted pathways of integration. A swiss army knife agent CLI, login via Link or GitHub, MCP, local code uploads, 402 standard payments via Link. And there is more on the way. Watch out for next week's shipping updates.
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I got early access right the night before we launched @CleanSlop on Product Hunt. "if you decompose enough, model providers can't even figure out what you're working on" Speaking of decomposing queries, right after the launch, the first thing I did was get on to was running a complete audit on our scanner engine with Jev and finding out the leaky reasoning pathways. xitter.cf/anomit/status/21009493…
was at a community event and was asked a somewhat sad question: should developers be afraid of the labs eating the new possibilities jev opens up? with AI (system one) + software (system two): 1. there's no going back to a world without system one models 2. you control the software! 3. there's no way AI could beat the efficiency of this combo 4. you don't even send the model providers your whole program logic I think the days of "wrapper" apps will be seen as some of the darkest in software because people essentially did all of their programming in a system message and sent it over to a third party who was incentivized to bake that behavior into their 1st party product... keeping your logic in code and only asking AI for the minimum reverses that and keeps all of your logic yours. if you decompose enough, model providers can't even figure out what you're working on
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The Renessaince Period's ideal: Vitruvian man. Supposed to denote the inherent perfection and divinity in a human. The post-capitalistic gambler influencer streamer era's ideal: iced out drip. No aspiration other than to be a petty thug. GTFOH.
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"keeping your logic in code and only asking AI for the minimum reverses that and keeps all of your logic yours." Devs are sleeping on the fact that you can use this to audit leaky reasoning in their intelligent systems. Run Jev evals on the logic pathways where you expect specific state transitions to happen based on specific states, and if they don't match, you got a problem on your hands.
was at a community event and was asked a somewhat sad question: should developers be afraid of the labs eating the new possibilities jev opens up? with AI (system one) + software (system two): 1. there's no going back to a world without system one models 2. you control the software! 3. there's no way AI could beat the efficiency of this combo 4. you don't even send the model providers your whole program logic I think the days of "wrapper" apps will be seen as some of the darkest in software because people essentially did all of their programming in a system message and sent it over to a third party who was incentivized to bake that behavior into their 1st party product... keeping your logic in code and only asking AI for the minimum reverses that and keeps all of your logic yours. if you decompose enough, model providers can't even figure out what you're working on
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Anomit retweeted
20 years of making production boring. Looking for my next challenge now. Open to Full-time or consulting: cloud, DevOps, robotics infra. Know a team that needs this? Point them my way 🙏
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Anomit retweeted
Actually the chronically negative you can identify in hiring and avoid The real damage to startups is done by 'Smart Skeptics' Who are smart, sound even smarter than they are, are great at raising objections, can hold great intellectual conversations, have a lot of anecdotal evidence about everything. But can't execute/move metrics/ solve hard problems even if their life depended on it, because they are skeptical about everything. And they dissuade the believers as well. Avoid them like a plague
optimism wins
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3.5 weeks on Jev. 1.5 weeks on Clef. First-hand observations - Jev is still orders of magnitude faster and cheaper. - Jev is not hesitant to mark "not sure" in confidence scores against evaluation questions instead of stretching out reasoning, which clef seems prone to.
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Connected @CleanSlop MCP live on call with @SwaroopH in Cursor IDE. Frictionless application of changes in-editor. Complete agentic support dropping this week for select beta users! DM us for early access.
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Now that I'm working with customers who vibe code, it's time to put myself in their shoes and ship in public. Next few weeks: one app a week, 1–3 prompts, one hour max. No engineering, no prompt wizardry. Introducing #1: Quietlist, a to-do list only you can read 🔒 Link in 🧵
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Uh...phrasing?
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You can load my system with a year's worth of psychedelics from DEA busts in the Colombian jungles, but being born in a developing nation and having grown up through dreary survival mode situations with scarce resources, nothing will make me check out. My hypervigilance will stand guard against the elves and ogres from the DMT plane bearing words of astral wisdom.
Marc Andreessen (@pmarca) on founders taking psychedelics: “I was describing this phenomenon we see in Silicon Valley where these guys get under pressure and they feel anxious and somebody tells them about psychedelics. They try it and they kind of come out the other end as a changed person. And they kind of come out much more at peace, but then they also tend to like quit their companies and they move to Indonesia and become a surf instructor. They just peace out. They're just done. There's been a whole bunch of examples of this and I was complaining to @hubermanlab about this and in true Huberman kind of wise Yoda style, he's like, "Well, you know, how do you know they're not happier? Maybe that was the positive outcome. Maybe the thing that was driving them to be a great entrepreneur was a fundamental level of insecurity. They had this kind of unsatisfied, neurotic impulse, and now, they're just satisfied.” And I'm like, "Yeah, but their company, it's failing."
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We just opened up the faster, experimental scan engine for all our users, including free tier. Just follow the alerts or go to your user settings on the top right corner. Coming next: agentic access // ⛶
What's new #2 🧪 Experimental scans: a new review engine we're testing, built to flag fewer false alarms and finish review much faster. Turn it on in Account → Scan settings. Plus, see how long review has left, and a faster dashboard ⚡ cleanslop.com/changelog
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Shipped past week: a second review engine for @CleanSlop, built to further cut the false alarms and get you to a verdict much faster 💨 It's opt-in while we test it. Please try it and let me know if it shows better results on your vibe coded projects 🙏
What's new #2 🧪 Experimental scans: a new review engine we're testing, built to flag fewer false alarms and finish review much faster. Turn it on in Account → Scan settings. Plus, see how long review has left, and a faster dashboard ⚡ cleanslop.com/changelog
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Aftermath of Product Hunt launch kept us super busy. We foresee a lot of shipping, hence committing to a weekly changelog. A major issue was identified with the scan architecture because of the heavy usage. Next ship will be WAY faster. 🎁 BONUS scans on invites and X shares.
⚡ New in CleanSlop: post a finished scan on X, claim a free scan every week Bring a friend in through your link and you can each earn one more 🤝 cleanslop.com/changelog
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