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  1. 1

    AI code reviews that can cut code review time & bugs in half

    2024 · codeant.ai

  2. 2
    Forums280

    AI-powered Q&A for GitHub repositories.

    Jan 2026 · forums.basehub.com

  3. 3

    Fix bugs faster with open source, AI native observability

    2025

  4. 4WB

    Hey HN, We’re two developers (co-founders) with a team of 20 who got tired of spending hours reviewing PRs, so we built Infinitcode.ai, an AI-powered code reviewer that: - *Summarizes PRs in plain English*: No more deciphering 1,000-line diff jungles - *Catches more than bugs*: Security holes, performance pitfalls, code smells, even typos (yes, we’ll flag “vurnerabilities” and vulnerabilities) - *Zero onboarding*: Works instantly—no “let me learn your codebase for weeks” nonsense. Why we’re posting: We’re in alpha and need brutal honesty. Roast our tool, mock our UI, or tell us why AI will…

    2025 · infinitcode.ai

  5. 5
    git-lrc305

    Free, unlimited AI code reviews that run on commit

    Feb 2026 · hexmos.com

  6. 6GF

    hi guys. been working on something i think is fundamentally missing in today's workflow with ai agents. vcs. i find myself struggling with questions that agents can't answer like "why did you do it?", "when did u delete this folder? why?", etc. or trying to /rewind (after a /compact...) or basically `bisect` to find when and why something was done by the agent in the current / previous session. just like git did for code, i think we are the same core capabilities with ai agents so... i developed an open source solution for that (currently supporting claude code) would love to…

    May 2026 · github.com

  7. 7

    AI-first code reviews, issue analysis and real-time chat

    2024

  8. 8
    BugDrop113

    In-app feedback that creates GitHub Issues with screenshots

    May 2026 · bugdrop.dev

  9. 9GB
  10. 10
    OpenBug106

    Ticket in, fix out. Every solution trains the next one.

    Feb 2026 · github.com

  11. 11

    AI Agent for GitHub issue triage that saves 15+hrs per week

    Dec 2025

  12. 12

    A quick way to browse GitHub issues and pull requests.

    2018

  13. 13OB
  14. 14
    GitChat48

    AI agent for GitHub pull request summaries and chat

    2024

  15. 15TF

    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 →…

    2025 · github.com

  16. 16IB

    I've been using Claude Code heavily, and kept hitting the same issue: the agent would push changes, respond to reviews, wait for CI... but never really know when it was done. It would poll CI in loops. Miss actionable comments buried among 15 CodeRabbit suggestions. Or declare victory while threads were still unresolved. The core problem: no deterministic way for an agent to know a PR is ready to merge. So I built gtg (Good To Go). One command, one answer: $ gtg 123 OK PR #123: READY CI: success (5/5 passed) Threads: 3/3 resolved It aggregates CI status, classifies review comments…

    Jan 2026 · dsifry.github.io

  17. 17GA

    Simon(sfarshid) and I spend a lot of time on GitHub. As data nerds we put together a quick tool to explore your repository’s data. How it works: - Data Loading: We use dlt to pull data (issues, PRs, commits, stars) from GitHub - Semantic Layer: Relta wraps the underlying dataset into a semantic layer so the LLM doesn’t hallucinate. - Text-to-SQL: A text-to-SQL agent transforms your plain-English question into a query using the semantic layer - Generative Charts: assistant-ui dynamically generates a chart based on the SQL query - Refinements: If the semantic layer can’t handle your question,…

    2024 · github.com

  18. 18

    Find beginner-friendly GitHub issues with AI

    Jul 2026 · gitspark.netlify.app

  19. 19IB

    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

  20. 20

    AI that fixes GitHub issues, reviews its own diff, ships PRs

    Apr 2026 · github.com

  21. 21OS

    Hey HN! I'm open-sourcing a little weekend side project. It's a terminal UI that generates parsers for webpages using AI, and a library that runs these parsers while you browse (it connects to Chrome over CDP). You can parse Twitter, LinkedIn, and HN posts and they get saved to a DuckDB database, so you can query them later. Contributions welcome! I wrote a bit more about it here: https://0thernet.substack.com/p/memo-2-selectron

    2025 · github.com

  22. 22

    Understand the story behind code changes. Analyze PR with AI

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  23. 23
    Kodin6

    Automated bug fixing for GitHub repositories

    Nov 2025

  24. 24

    AI code reviewer for GitHub PRs — catches bugs instantly

    Jun 2026 · buglens.app

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