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Products that do what Flag AI Slop in PRs does

Hi HN, Lately Github PRs have been drowning in a flood of AI slop. I’ve been seeing it myself, and I’m not the only one: https://x.com/mitchellh/status/2011819428061855915 I think it’s great that folks are using AI tools to code faster and better, but too many folks are abusing them to make low-quality contributions to public repos. This takes a lot of reviewers’ mindshare. IMO there needs to be a mechanism to flag low-effort PRs with AI slop, so you can just skip reading them. So I built one: https://haystackeditor.com/slop-detector It’s a simple AI…

  1. 1SM

    About 6 years ago I wrote a blog post [0] with some ideas on how to help popular open source maintainers deal with all the noise on Github. Patted myself in the back and never did anything about it :) There's recently been a lot more discussion around this due to AI, so I've built a simple tool called "Slop Meter" [1]. It gives maintainers a quick snapshot of the user's history in open source: 1) Do they just open issues and expect you to do everything, or will they put in the work to fix the problems and open a PR? What's the issues : PR ratio? 2) If they do contribute, what percentage of…

    Mar 2026

  2. 2
    Detectly112

    Sniff out AI slop

    2025

  3. 3SA

    Hey HN. I built a dead-simple CMS for your AI agents — https://slopit.io Kept it minimal and agentic-first. No dashboards, no UI for human edits - grab a key, drop it into your Openclaw / Cowork / Codex and you're up and running in seconds. I wanted something lightweight for my own company blog and Ghost, Notion, every headless CMS all felt like overkill once an agent was doing the actual writing. Launch post (slopped by my own claw) — https://blog.slopit.io/this-blog-post-is-slop/ Self-hostable, MIT license if you wanna roll your own. Lots more…

    Apr 2026 · slopit.io

  4. 4SC

    Open source maintainers are drowning in low effort PRs. Someone sees a help wanted issue, pastes it into an AI, submits without testing, loops through review comments without understanding the code. The PR looks plausible at first glance but falls apart under review. Maintainers waste 30 minutes before realizing it's garbage. This is happening at scale now. And it's worst in projects with bounty programs or GSoC where there's incentive to “contribute.” GitHub tells you if someone is a first-time contributor to your repo. It doesn't tell you anything about their history elsewhere. I built a…

    Jan 2026 · github.com

  5. 5PP

    Hey HN! I've been working on a project called PR Pilot that I'm thrilled to share with you. PR Pilot is an AI collaborator for Github issues and pull requests. Once installed in your repository, use the /pilot command in any issue/PR comment to put it to work. PR Pilot will interpret your command in the context of what you’re working on and allow you to leverage the power of generative AI in your daily workflow. It can answer questions, write code and use the internet to search for information. Key aspects that sets it apart from other AI tools: - Context-awareness - crucial for…

    2024 · docs.pr-pilot.ai

  6. 6TJ

    What it is: A fully functional academic journal where every paper must be co-authored by an LLM, and peer review is conducted by a rotating panel of 5 LLMs (Claude, Grok, GPT-4o, Gemini, Llama). If 3+ vote "publish," it's published. If one says "Review could not be parsed into JSON," we celebrate it as a feature. The stack: React + Vite frontend, Convex backend (real-time DB + scheduled functions), Vercel hosting, OpenRouter for multi-model orchestration. Each review costs ~$0.03 and takes 4-8 seconds. Why I built it: Academic publishing is already slop—LLMs write drafts, LLMs review papers,…

    Dec 2025 · journalofaislop.com

  7. 7SA

    Design slop is the feeling that tells you a website is purely AI-generated. This is an attempt to classify the design patterns behind it. Applying this scoring to recent ShowHN submissions shows that about a third of the submissions show medium to heavy design slop: https://slopcop.adriankrebs.ch/show How the scoring works: - A headless browser loads each site (Playwright) - A small in-page script analyzes the DOM and reads computed styles - Every pattern is a deterministic CSS or DOM check. There are false positives, but my manual QA run verified it’s maybe 5-10%. Is design…

    Jul 2026 · slopcop.adriankrebs.ch

  8. 8VL

    I built a CLI that detects patterns AI coding tools leave behind: empty catch blocks, hardcoded secrets, as any everywhere, comments that restate the code, god functions, SQL concatenation. 24 rules across JS/TS and Python. Zero config, runs offline, regex-based so it's fast. npx @yuvrajangadsingh/vibecheck . Also ships as a GitHub Action for inline PR annotations and standalone binaries (no Node required). Why: CodeRabbit found AI-generated PRs have 1.7x more issues than human PRs. Veracode says 45% of AI code samples have security vulnerabilities. "Vibe coding" is everywhere now…

    Mar 2026 · github.com

  9. 9FC

    Hi there, I've created this side project to make it easier to find interesting repositories using AI. There's still a lot of work to be done to improve it, so any suggestions for enhancements would be greatly appreciated. Thank you!

    2024 · awesome-repositories.com

  10. 10IB

    I’ve spent the last 2.5 months building a product that runs LLM-powered code reviews on my pull requests — and I just launched it. The tool is built specifically for solo developers. You install it on your repo, trigger a scan by creating a pull request, and it leaves structured review comments using OpenAI under the hood. Funnily enough, I used the dev version of this app to review its own pull requests while building it. It helped me spot bugs, simplify structure, and keep quality high — all with minimal need for another human in the loop. Things I want to try out in the next months : -…

    2025 · codii.dev

  11. 111P

    A few weeks ago I posted about GoodToGo https://news.ycombinator.com/item?id=46656759 - a tool that gives AI agents a deterministic answer to "is this PR ready to merge?" Several people asked about the larger orchestration system I mentioned. This is that system. I got tired of being a project manager for Claude Code. It writes code fine, but shipping production code is seven or eight jobs — research, planning, design review, implementation, code review, security audit, PR creation, CI babysitting. I was doing all the coordination myself. The agent typed fast. I was still the…

    Feb 2026 · github.com

  12. 12TM

    Figured I'd track the popular coding agents to see merge and approval rates. At first I was tracking Opened vs. Approved, but realized most people aren't approving; they just merge. I haven't found a way to reliably track the other agents (Jules, Devin, etc), since they don't have a standardized branch naming convention. Interesting to watch this over time. Open to ideas.

    2025 · github.com

  13. 13OS

    Hey HN! I'm Hussam, a Senior Algorithm Engineer at CodiumAI. We launched PR Agent a little over a year ago — it’s a free and open-source tool that helps with reviewing pull requests. The response has been great and more than 70 contributors have added to the project. Today, we're launching PR Agent as a browser extension. Key features: - AI Chat in PRs: You can ask questions about specific code changes and the context is passed to the AI model - Automated Code Reviews: The /review command does an automated review, focusing on potential bugs, security issues, and best practice violations…

    2024

  14. 14RA

    Hey all! I've been increasingly concerned about low-quality AI generated content polluting the internet. Other AI detectors don't seem to work well in my experience, so I started checkfor.ai with a couple friends. Please give it a shot on any real text and AI-generated examples and let me know how well it works for you. Thanks for trying, I'm open any and all feedback!

    2023 · checkfor.ai

  15. 15VW

    We've been working on Verelo website monitoring for just over six months now. Our project was created out of frustrations with existing monitoring tools while working in the DevOps team at our past employer. We consider ourselves different to what's out there today for a few reasons: - Our main goal is to provide a monitoring service which can truly help you meet and prove your SLA. This means a few critical enhancements from what's out there today. - We provide sub-minute checks. You can use us to check as regularly as every 5 seconds (for paid accounts, free beta accounts can only do 60…

    2012

  16. 16OS

    Hey again HN. Isaac and I originally released a voice-first code review tool, but have since open-sourced it and turned it into just a better way to review your and your team's Github PRs. Main things we've heard that make code reviews slower are: 1) PRs are too big and overwhelming 2) Need to jump around to find the right context and relevant code 3) Need to spend time thinking (should not be a thing since AI exists), and writing comments What we built to address these: 1) PRs are split up into sub-PRs without needing to actually split them up and stack them yourself -> Automatically done…

    2025 · github.com

  17. 17CA

    I built this because I was tired of creating pull requests in 20 repositories just to change a single line of workflow job version. With Infra as AI, just mention the change. Agents work on all repos in parallel, read the docs, make a bunch of PRs and fill in the description. You can see the demo of the actual dashboard in the landing. Let me know your thoughts :) It means a lot to me!

    Sep 2025 · infrastructureas.ai

  18. 18BY

    Hey HN - We're building wispbit (https://wispbit.com/) - a tool that lets you build your own AI code reviewer. We built this because we worked in big and complex codebases where we kept hitting booby traps - often the same ones. People forgot things, or quit altogether, amplifying the problem. We looked for other ways to fix this, but the solution is usually a combination of: - Writing a linter rule - too difficult and time consuming. - Writing docs and having frequent meetings on alignment - basically a full time job. - Using plug and play code reviewers - too generic and…

    2025

  19. 19AC

    This week we released the Kodus CLI. It took a bit longer than we expected to ship. The reason was simple: there are already many ways to run reviews locally today. IDEs, extensions, terminal commands, agents inside the editor. So building “just another AI CLI” didn’t seem like a good idea. The question that guided the project was different: how can we bring the quality of PR reviews to the moment when the code is still being written? Today the CLI does two main things. The first is running local reviews using the same context we use in PRs. The goal was to avoid that shallow review that…

    Mar 2026 · github.com

  20. 20
    Tomosu7

    AI Production Reliability Governance, Powered by PRI.

    19d ago · tomosu.ai

  21. 21GB

    Hi Everyone, I made an open-source GitHub bot that automatically submits a detailed line-by-line code review instantly on any new PR. It's just one-click install to get started. You can host your own bot if you'd like. Open for feedback. thanks!

    2024 · github.com

  22. 22WB

    Hey HN, After GPT-3 created waves in the tech industry, a lot of AI tools were emerging and with that, some AI website builders But the results seemed way too generic to us. It felt like the developers were rushing to catch the wave instead of building a proper tool We took our time, did months of RnD and finally came up with something better than what others in the market are doing. It’s got better design output. While it’s still in beta, I wanted to show HN what we did. Will appreciate the feedback when you guys try it out. Here is the link to signup for the beta:…

    2024 · dorik.com

  23. 23

    Security Scanner for AI-generated Code

    7d ago · scanity.dev

  24. 24SO

    Originally this was more like moltbook — you could plug in your agent, have it post early AI-built projects, and people would review them. But it was honestly pretty boring, and almost no one engaged with it. So I scrapped it. Now the agents just do everything themselves — they share opinions, come up with ideas, review each other, leave feedback, revise things, and sometimes argue. There are about 40 agents right now. They randomly pick from different paid/free models, crawl news based on their preferences, do some research, and then remix that into new ideas. The whole “bury or revive…

    Mar 2026 · shiporslop.xyz

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