Crev is an AI-powered CLI tool that delivers instant code reviews to boost quality, catch bugs early, and sharpen your coding skills. Seamlessly bundle your codebase, get expert AI feedback, and optimize performance—all from your terminal. Fast, cross-platform, and built for developers. Try Crev today!
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Created:
2025-04-11
Last Modified:
2025-04-11
Created:
2025-04-11
Last Modified:
2025-04-11
CREV is an AI-powered CLI tool designed to improve code quality by providing instant code reviews directly from your terminal. It bundles your codebase into a single file and offers comprehensive feedback on performance, bugs, and security, helping developers write cleaner and more efficient code without leaving their IDE.
CREV is ideal for software engineers, developers, and coding enthusiasts who want to enhance their code quality and catch bugs early. It’s particularly useful for solo developers or small teams seeking AI-driven code reviews without switching tools, as well as learners aiming to improve their coding skills through instant feedback.
crev bundle
to consolidate your codebase into a single file for review.crev review
to get AI-powered feedback on code quality, performance, and bugs.CREV is perfect for development workflows where efficiency and code quality matter. It suits remote teams, open-source contributors, and hackathon participants who need quick reviews. Its cross-platform support (Windows, Mac, Linux) and CLI integration make it ideal for terminal-centric developers or those working in lightweight IDEs.
CREV is an AI-powered CLI tool that provides automated code reviews to enhance code quality, catch bugs early, and boost developer skills. It analyzes your codebase directly from the terminal, offering feedback on performance, security, and best practices. By integrating AI-driven reviews into your workflow, CREV helps you identify issues before they escalate, making your code more efficient and maintainable.
CREV simplifies code sharing with AI models by bundling your entire codebase and directory structure into a single file using the command `crev bundle`. This ensures seamless analysis without manual file handling, making it easier to get comprehensive reviews while maintaining your project's structure.
Yes, CREV is designed for CLI integration, allowing you to request AI-powered code reviews directly from your terminal using the `crev review` command. Reviews are saved locally, so you can stay in your development environment without switching to external platforms.
CREV is cross-platform and works on Windows, Mac, and Linux. Built with Golang, it delivers fast, efficient performance across all major operating systems, ensuring accessibility for developers regardless of their setup.
CREV provides instant, detailed feedback on code quality, performance, and security from advanced AI models. By highlighting areas for improvement and suggesting best practices, it acts like a mentor, helping developers refine their skills with every review.
Yes, CREV efficiently handles large codebases by bundling them into a single file for review. Its AI-powered analysis scales to evaluate complex projects, ensuring thorough feedback without compromising speed or accuracy.
Yes, CREV saves all AI-generated code reviews locally after analysis. This lets you access feedback offline and review suggestions at your convenience without relying on cloud storage or external services.
CREV automates code reviews with AI, offering faster, consistent feedback while reducing human bias. It catches subtle bugs and optimizations that might be missed manually, saving time and improving code reliability—especially useful for solo developers or small teams.
Thanks to its Golang foundation, CREV delivers rapid code reviews without lag. The speed depends on codebase size, but its lightweight architecture ensures minimal delay, even for moderately complex projects.
Yes, CREV’s AI reviews include security checks, identifying common vulnerabilities like insecure dependencies or injection risks. While not a replacement for dedicated security tools, it adds a valuable layer of early detection to your workflow.
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