Showing 8 open source projects for "code review"

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  • 1
    Forge Code

    Forge Code

    AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek

    Forge is a modern, open-source tool that brings AI-powered code assistance directly into your terminal workflow, effectively turning your shell into a “pair programmer”, without ever leaving your development environment. Written in Rust (with a command-line interface), Forge integrates with your existing shell (bash, zsh, fish, etc.) or IDE-agnostic workflows, allowing you to interact with your codebase, command-line tools, and version control as usual, but with the added support of large language models (LLMs) to help with code generation, refactoring, bug fixing, code review, and even design advice. ...
    Downloads: 12 This Week
    Last Update:
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  • 2
    cargo-crev

    cargo-crev

    A cryptographically verifiable code review system for the cargo

    A cryptographically verifiable code review system for the cargo (Rust) package manager. cargo-crev is an implementation of Crev as a command-line tool integrated with cargo. This tool helps Rust users evaluate the quality and trustworthiness of their package dependencies. Crev is a language and ecosystem agnostic, distributed code review system. Use reviews produced by other users.
    Downloads: 2 This Week
    Last Update:
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  • 3
    LaReview

    LaReview

    The code review workbench

    LaReview is a developer-first, local-first code review workbench designed to transform complex pull requests or diffs into structured, high-signal review workflows powered by AI assistance. Instead of overwhelming developers with raw diffs or automated comment spam, the tool analyzes code changes and generates an intent-driven review plan that groups changes into logical flows such as authentication, API behavior, or data handling, and prioritizes them based on risk. ...
    Downloads: 0 This Week
    Last Update:
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  • 4
    CodeSnap.nvim

    CodeSnap.nvim

    Snapshot plugin with rich features that can make pretty code snapshots

    Snapshot plugin with rich features that can make pretty code snapshots for Neovim.
    Downloads: 1 This Week
    Last Update:
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  • 5
    insta

    insta

    A snapshot testing library for rust

    ...The project includes macros for generating snapshots, reviewing changes, and storing inline snapshots inside source files. A companion cargo tool helps manage the review workflow, while a VS Code extension improves snapshot file editing and inspection. Insta is especially useful for command output, serializers, parsers, compilers, debug values, and tests where human review matters.
    Downloads: 5 This Week
    Last Update:
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  • 6
    Vibe Kanban

    Vibe Kanban

    Get 10X more out of Claude Code, Codex or any coding agent

    ...It supports running multiple agents in parallel or in sequence, giving engineers the freedom to plan, review, and address higher-level concerns while AI helpers execute individual pieces of work.
    Downloads: 9 This Week
    Last Update:
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  • 7
    Difftastic

    Difftastic

    A structural diff that understands syntax

    Difftastic is a structural diff tool written in Rust that parses source files using syntax trees (via tree‑sitter) and produces human‑readable diffs at the expression level. It works across 30+ languages and emphasizes readability by aligning code structure rather than lines. Ideal for code review and understanding semantic changes.
    Downloads: 9 This Week
    Last Update:
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  • 8
    X For You Feed Algorithm

    X For You Feed Algorithm

    Algorithm powering the For You feed on X

    X For You Feed Algorithm is the open-sourced core recommendation system that powers the For You feed on X (the social network formerly known as Twitter), and it represents one of the first times a major social platform has published production-level ranking code for public review and experimentation. The repository contains the full pipeline that ingests user engagement and content candidate data, processes it through retrieval, hydration, filtering, scoring, and selection layers, and ultimately ranks posts to show what appears in a user’s feed. At its heart, the system uses a transformer-based model adapted from xAI’s Grok architecture to predict probabilities for various user actions (such as likes, replies, reposts, clicks, and negative signals), then combines those into a weighted final score that drives ranking.
    Downloads: 0 This Week
    Last Update:
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