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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
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    3. CodeVibes
    CodeVibes icon

    CodeVibes

    Code Review
    Featured

    AI-powered code review tool that scans GitHub repositories to detect security vulnerabilities, bugs, and code quality issues, delivering a quantifiable Vibe Score with actionable fix suggestions.

    Visit Website

    At a Glance

    Pricing
    Open Source
    Free tier available

    Free forever plan for individuals getting started with AI code review.

    Starter: $80/yr
    Pro: $200/yr

    Engagement

    Available On

    Web
    API
    CLI

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    Code ReviewApplication SecurityAI Coding Assistants

    Alternatives

    LiveReviewStage CLICodeRabbit
    Developer
    Danish AkhtarGuntur, IndiaEst. 2024

    Listed Aug 2026

    About CodeVibes

    CodeVibes is an open-source AI code analysis tool built by Danish Akhtar that scans GitHub repositories using a hybrid rule-and-AI approach to surface security vulnerabilities, bugs, performance issues, and code quality problems. It is available both as a hosted web app at codevibes.akadanish.dev and as a self-hostable project under the MIT License. The tool is currently in active development, with version 1.2.1 live on the hosted platform.

    What It Is

    CodeVibes combines 80+ regex detection rules with DeepSeek AI to analyze public and private GitHub repositories. The regex layer catches known patterns quickly, while the AI layer handles semantically complex issues that pattern matching alone would miss. Results are streamed in real time and organized into a prioritized report, culminating in a 0–100 Vibe Score that reflects the overall health of the codebase. The project positions itself as an accessible alternative to enterprise code review tools, with the tagline "AI Code Review for Developers Who Can't Afford CodeRabbit."

    Priority-Based Scanning Architecture

    Analysis runs in three sequential tiers, each requiring user approval before proceeding:

    • P1 – Security (Critical first): Hardcoded secrets (AWS keys, Stripe keys, JWTs), SQL/NoSQL/command injection, auth bypass, XSS/CSRF vulnerabilities, and missing JWT verification.
    • P2 – Bugs & Performance: N+1 queries, race conditions, memory leaks, unhandled promises, and off-by-one errors.
    • P3 – Code Quality: DRY violations, naming and complexity issues, deprecated API usage, and testability concerns.

    The backend fetches repository file trees via the GitHub API (using Octokit), categorizes files by priority, then streams AI analysis results back to the frontend via Server-Sent Events (SSE).

    Tech Stack and Deployment Model

    The project is built with React 18 + Vite on the frontend, Node.js + Express on the backend, and Better-SQLite3 for local history storage. State management uses Zustand. The AI layer calls the DeepSeek API for streaming analysis. Self-hosting requires Node.js v18+, a DeepSeek API key, and optionally a GitHub token for private repository access. A BYOK (Bring Your Own Key) mode lets users supply their own DeepSeek API key for unlimited scans on the hosted platform.

    Key infrastructure details:

    • AES-256 encryption noted on the hosted platform; no repository code is stored server-side
    • Smart Cache allows reuse of recent community scans for the same repository
    • Parallel file fetching (5 concurrent requests) and GitHub Tree API caching reduce scan latency

    Update: v1.2.1 (Hosted) / v1.0.2 (GitHub Release)

    The GitHub repository's latest tagged release is v1.0.2 ("Prompt Optimization and Reliability Improvements"), published January 12, 2026. The hosted platform displays v1.2.1, indicating continued development beyond the tagged release. Notable changes across recent versions include:

    • v1.0.0: Parallel file fetching (3–5× faster), GitHub Tree API caching (80% fewer API calls), fixed history-saving SQL bug, fixed DeepSeek response truncation by raising max_tokens.
    • v1.0.1: New changelog page, trust indicator badges (AES-256, Privacy, Open Source), FAQ section added to homepage.
    • v1.0.2: Expanded secret detection (AWS, Stripe, Google, and more), critical severity for live keys, automated async error and memory leak detection.

    The repository has 145 stars and 26 forks as reported by GitHub metadata, with zero open issues as of the last update.

    Who It's For

    CodeVibes targets individual developers, indie hackers, and small teams who want automated security and quality feedback on their GitHub repositories without the cost of enterprise tools. The hosted free tier supports public repositories with no credit card required. Private repository access requires GitHub OAuth login. The BYOK mode removes scan limits for users who supply their own DeepSeek API key.

    CodeVibes - 1

    Community Discussions

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    Pricing

    FREE

    Free

    Free forever plan for individuals getting started with AI code review.

    • 3 DeepSeek scans/month
    • 300K tokens/month
    • Up to 15 files per scan
    • Queue mode processing
    • Issue titles only (brief)

    Starter

    Popular

    For indie developers who need more scans and detailed explanations.

    $80/yr
    billed annually
    $8/mo monthly
    • 30 DeepSeek + 5 GLM scans/month
    • 3M DeepSeek + 500K GLM tokens
    • 30 files per scan
    • Detailed explanations & fixes
    • PDF export + 20% token rollover
    • Smart Cache: 10 uses/month

    Pro

    For teams and agencies needing high-volume analysis with priority processing.

    $200/yr
    billed annually
    $20/mo monthly
    • 75 DeepSeek + 12 GLM scans/month
    • 7.5M DeepSeek + 1.2M GLM tokens
    • 50 files per scan
    • Code examples in fixes
    • Priority queue + 30% rollover
    • Smart Cache: 30 uses/month
    View official pricing

    Capabilities

    Key Features

    • AI-powered code analysis using DeepSeek
    • 80+ regex detection rules for known vulnerability patterns
    • Three-tier priority scanning: Security (P1), Bugs (P2), Quality (P3)
    • Real-time streaming results via Server-Sent Events
    • Vibe Score (0-100) quantifying codebase health
    • Smart Cache for reusing recent community scans
    • BYOK (Bring Your Own Key) mode for unlimited scans
    • PDF and JSON report export
    • GitHub OAuth for private repository access
    • AES-256 encryption; no code stored server-side
    • Scan history tracking
    • Actionable fix suggestions with code examples
    • Parallel file fetching for faster analysis
    • Secret detection (AWS, Stripe, Google, JWT keys)
    • SQL/NoSQL/command injection detection
    • XSS/CSRF vulnerability detection
    • N+1 query and memory leak detection
    • Self-hostable under MIT License

    Integrations

    GitHub
    DeepSeek AI
    GitHub OAuth
    API Available
    View Docs

    Demo Video

    CodeVibes Demo Video
    Watch on YouTube

    Ratings & Reviews

    No ratings yet

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    Developer

    Danish Akhtar

    Danish Akhtar builds CodeVibes, an open-source AI-powered code review tool designed to make enterprise-grade security analysis accessible to individual developers and small teams. The project is built on a React + Express stack with DeepSeek AI integration and is available both as a hosted web app and a self-hostable MIT-licensed repository. Danish actively maintains the project, shipping multiple releases and iterating on detection rules, performance, and UX.

    Founded 2024
    Guntur, India
    1 employees
    Read more about Danish Akhtar
    WebsiteGitHubLinkedInX / Twitter
    1 tool in directory

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