nowfound

Alternatives

Products that do what Triage.flow – Chat with Any GitHub Repo Using Faiss and LlamaIndex does

A few weeks ago I got rejected from a role and the feedback was that I needed a deeper understanding of FAISS and LlamaIndex. So I built triage.flow — an AI assistant that lets you explore and understand GitHub repositories through a chat interface. It clones a repo, indexes it using FAISS + BM25 + tree-sitter parsing, and powers a full UI where you can: - Ask natural-language questions like “how does auth work?” or “explain @src/components/Modal.tsx” - Mention specific files/folders with @filename.ts (autocomplete supported) - See how the agent thinks in real time (Thought →…

  1. 1
    Ask Ellie173

    Turn Slack messages into GitHub, Jira, or Linear tickets

    Feb 2026

  2. 2CG

    Howdy all. I'm Zack :wave:. I've been thinking about the problem of misguided AI pull requests and figured I'd throw a possible solution out there for feedback. Basically, CleverCrow lets supporters give tokens to a GitHub repo (or set of issues in that repo) for the maintainers to use to build/fix stuff. The fun implementation challenges have been around implementing the pooling dynamics and keeping the maintainers in charge while the backers are motivated to support their work.

    Jun 2026 · clevercrow.io

  3. 3IS

    Everything that would be here is in the README. I hope this gets big, it has tons of potential.

    2013 · github.com

  4. 4IB

    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

  5. 5FA

    Hi HN, I'm a creator of Floww, a self-hostable workflow automation tool designed for developers who got frustrated by the limitations of visual builders like n8n. It's still a very early prototype, but the goal is to provide these same features in a code-first approach which allows for building and maintaining more complex workflows more easily. Example: import { Discord, GitHub } from "floww"; const discord = new Discord() const github = new GitHub() github.triggers.onPush({ branch: "main", owner: "usefloww", repository: "floww-dashboard", handler: async (ctx, event) => { const user =…

    Dec 2025 · github.com

  6. 6IB

    After years of struggling with onboarding to new projects, I got tired of spending weeks just trying to grasp the basics of a codebase. The README rarely tells the whole story, and "just read the code" isn't practical for large repos. I built RepoIQ to create personalized learning paths through any GitHub repository. It analyzes the codebase structure, identifies key components, and creates a step-by-step guide tailored to your learning needs.

    2025 · repoiq.be

  7. 7UE

    I've created uithub, a tool that allows developers to easily get LLM context for their coding questions and perform AI repo analysis at scale. Here's what it does: - Get Context: Simply change the 'g' in github.com to 'u' to access AI-powered insights on any GitHub repo. - Flexible Querying: Fetch entire repos, specific branches/subfolders, or filter by file type and size. - API for Developers: Power the next generation of development tools with our API. Key features: - Customizable token limits - File type filtering - Multiple response formats - Size-based file exclusion I built this…

    2024 · uithub.com

  8. 8GB

    Hey HN, We’re excited to share PySpur, an open-source tool that provides a graph-based interface for building, debugging, and evaluating LLM workflows. Why we built this: Before this, we built several LLM-powered applications that collectively served thousands of users. The biggest challenge we faced was ensuring reliability: making sure the workflows were robust enough to handle edge cases and deliver consistent results. In practice, achieving this reliability meant repeatedly: 1. Breaking down complex goals into simpler steps: Composing prompts, tool calls, parsing steps, and branching…

    2024 · github.com

  9. 9NT

    I built a CLI tool that turns codebases and PRs into diagrams so you can quickly understand how things fit together. Originally made it because I couldn't follow my own AI-generated repos. Just shipped a big update: - Switched from D2 to Mermaid for rendering - Tree-sitter AST parsing + agentic flow instead of raw LLM calls. ~50x faster. - Works on any GitHub repo or PR, not just local - Dropped the web frontend, it's just a CLI now - Published as a pip package Still a ton to improve and I'm building fast. Feedback, issues, PRs all welcome.

    Feb 2026 · github.com

  10. 10FS

    Hi everyone! I've been loving building with AI, and over the past few years I've been leaning more and more into Typescript (and bun). My team at inference.net is constantly trying to get more leverage out of AI and find ways to setup our codebase to be able to increase the level of correctness that our AI is able to write code at. This starter repo is a very opinionated way to lay out a repo to lean into AI heavily. It leverages Cloudflare Workers as a deployment target for the API (my goal is to never have to deploy an API on a AWS/Azure/GCP server ever again unless I get to a…

    2025 · abeahmed.com

  11. 11LF

    We built a no/low-code tool that lets you spin up MCPs from a single prompt. MCPs give LLMs access to tools, data, and actions—but they’re hard to build and deploy. Our tool abstracts that: describe what you want, and it auto-generates and hosts the necessary components. No UI flows, no manual chaining—just prompt and go. Examples: • Pull email, parse a DocSend, check Reddit, draft reply • Extract data from a niche site + send a Slack alert • Combine tools without writing glue code Live demo: https://www.youtube.com/watch?v=4uCiaQrgfoE Built over a weekend after getting…

    2025 · generatemcp.com

  12. 12RO

    Hey HN, I built RepoGPT, an open-source AI tool that lets you interact with your GitHub repos using natural language. Ask it things like: How is auth implemented? List API endpoints. What are the key dependencies? RepoGPT aims to make navigating large codebases easier with AI. Check it out: https://github.com/mbarinov/repogpt You'll need Node.js, pnpm, Docker (PostgreSQL), and an OpenAI API key. Full setup in the README. Feedback and contributions are welcome! Also, I'm looking for remote roles in EU time zones. Thanks!

    2024 · github.com

  13. 13HA

    Hey guys, I left my PM job in December to learn how to code. The plan, - Build something that "I" could build with my background (I haven't studied CS) - Something that already existed and I used so I didn't have to spend time finding PMF Over the past 4 months I've been building howsthisgoing.com (a standup bot for slack with AI summaries). My ex-employed signed up in May & I got another customer through a university batchmate sometime in June (the company he's working at). However, since then it's mostly been 0 new customers, I get roughly 6-10 views on my site daily. The bot and my…

    2024 · howsthisgoing.com

  14. 14CR

    Hey HN, Over the past 10 months I've been using Claude Code heavily, and one limitation kept coming up: you can really only run one coding agent at a time. While one agent is refactoring something, the rest of the repo is basically blocked unless you start manually juggling branches and working directories. The core issue is that AI coding agents operate directly in your filesystem. If two agents run in the same working directory they quickly start stepping on each other’s changes. Git worktrees turned out to be a surprisingly good primitive for solving this. So I built ChatML, a Desktop app…

    Mar 2026 · github.com

  15. 15PP

    I worked as DevOps Engineer at multiple companies of different sizes and almost everywhere at some point I had to work with CI/CD optimizations to make developers life better. The key problem I had was tracking down which pipeline was the problematic one and how could I see if my changes worked long-term. Some time ago I built first version of Pipetrics based on typescript, github action cron job and mongodb used as datasource in Grafana. This approach had a lot of limitations, especially in Grafana integration, thus I decided to rework the project and make it available to everyone as…

    Sep 2025 · pipetrics.com

  16. 16IC

    Hey HN, I built ShadowGit a while back to automatically commit code every minute to a hidden git repo (.shadowgit.git). Original goal was to easily rollback when AI tools break things. But I discovered something interesting: this minute-by-minute history is perfect context for AI assistants. So I built an MCP server that lets Claude/Cursor query this history using native git commands. The results surprised me: Before: Claude would read my entire codebase repeatedly, burning 15,000+ tokens to debug issues. After: Claude runs `git log --grep="drag"` finds when drag-and-drop worked,…

    2025 · shadowgit.com

  17. 17FC

    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

  18. 18SR

    Hello all, I'm a software developer. Over the last few months more and more of my work has turned into using coding agents instead of typing the whole code myself. Usually a few claude sessions at once, sometimes codex, one per feature or per revealed bug. I ran them in a split terminal for a few weeks, and quickly spotted two main problems. The first is that I couldn't easily tell which agent was stuck waiting on me and which was still working, so I'd cycle through sessions and checking on them. The second one: agents sharing a single branch step on each other. Two of them could be editing…

    Jul 2026 · shikigami.dev

  19. 19UA

    I've been using LLMs for long discovery and research chats (papers, repos, best practices), then distilling that into phased markdown (build plan + tests), then handing those phases to Codex/Claude to implement and test phase by phase. The annoying part was always the distillation and keeping docs and architecture current, so I built Unpack: a lightweight GitHub template plus docs structure and a few commands that turns conversations into phases/specs and keeps project docs up to date as the agent builds. It can also generate Mintlify-friendly end-user docs. There are other…

    Feb 2026 · github.com

  20. 20DO

    Slack questions have always been a huge time sink for me. They’re a distraction that pulls me away from what I’m doing, and often requires digging up old knowledge. If I’m in the middle of something complex, I may take a while to context switch and get around to answering, which leaves the asker blocked for hours. Addressing this seems simple: give an LLM your organizational context and plop it in Slack to answer things for you. So that’s why we built DanswerBot! It’s MIT licensed (https://github.com/danswer-ai/danswer) and completely free to use. The bot can…

    2023 · docs.danswer.dev

  21. 21IB

    Hey Guys, I created GithubReader.org (open-source, non-profit, most of the code is written by ChatGPT). My motivation: I wanted an easy way to keep a list of repositories I want to learn from and access them quickly. So, I built a search page where I can find repositories by name, like Google. Also, I wanted a nicer way to read Markdown files on my laptop without the GitHub UI, like reading a book. So, I made a custom UI with a back button that takes you to the previous state without jumping pages. The markdown links are sharable, e.g.…

    2024 · githubreader.org

  22. 22KY

    Hey HN! I wanted to practice "vibe coding" and see how far and fast I can go by only prompting, without actual coding. I decided to make a simple CLI app that scrapes web docs into a single md file (I was annoyed that LLM keeps writing Tailwind 3 code for a Tailwind 4 project). In just a couple of hours, the CLI app was ready! Then iterated on arguments for another couple of hours. Result: https://github.com/vladstudio/web2llm Then I decided to go further and "productize" the CLI by making a web app for it. Another half-day, and the web app is ready!…

    2025 · web2llm.dev

  23. 23

    Chat with any GitHub repository using AI

    Jun 2026

  24. 24

    Turn GitHub repositories into professional AI Agent Skills

    24d ago · repo2skill.vercel.app

Ranked by how close each launch is in meaning, then by votes. Refine with a description →