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deepreview

DeepReview is a browser extension for AI-assisted code and documentation review with privacy-first design and zero server proxy.

Introduction

DeepReview – AI Code & Documentation Review Extension

DeepReview is a browser-based tool that leverages multiple AI providers to perform automated code and documentation analysis directly in your workflow. It is designed for developers and technical writers who want to improve code quality and documentation accuracy efficiently.

Key Features
  • Multi-Provider AI Analysis: Seamlessly integrates with OpenAI, Claude, DeepSeek, and Gemini, using your own API keys for direct and private connections.
  • Combined Code & Documentation Review: Applies consistent, rule-based prompts to analyze both source code and related documentation, ensuring coherent and comprehensive feedback.
  • Privacy-First Architecture: Your code, API keys, and review data are never proxied through DeepReview servers; all communication happens directly between your browser and the AI providers.
  • Scalable for Large Projects: Features intelligent file splitting and batching to process large repositories automatically, eliminating the need for manual copy-paste.
  • Structured & Exportable Reports: Generates clear, JSON-based results that are rendered into readable summaries and can be exported for further use.
  • Individual Subscriptions: Offers per-developer plans, making it suitable for individual freelancers as well as distributed teams.
Use Cases
  • Pull Request Reviews: Quickly scan new code changes for bugs, style issues, and potential improvements before merging.
  • Documentation Audits: Automatically check documentation for accuracy, clarity, and consistency with the underlying code.
  • Legacy Code Refactoring: Analyze large, existing codebases to identify technical debt and areas for modernization.
  • Learning & Onboarding: Help new team members understand code quality standards and best practices through AI-generated explanations.
  • CI/CD Integration: While browser-based, its structured output can be adapted into automated pipelines for continuous quality checks.

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