Overview

AI Code Reviews in CLI

AI Code Reviews in CLI brings fast, intelligent code reviews directly to your terminal, helping you catch issues early — before they reach production.

It analyzes your code changes using AI to provide instant feedback on:

• Security vulnerabilities - Detects issues such as SQL injection, XSS, insecure authentication, and unsafe data handling.

• Potential bugs - Identifies logic errors, edge cases, incorrect assumptions, and runtime-related issues.

• Performance problems - Flags inefficient algorithms, unnecessary computations, memory-intensive patterns, and scalability risks.

• Code quality & best practices - Improves readability, maintainability, and design by suggesting better patterns, structure, and conventions.

Unlike traditional linters or static analyzers, the analysis is context-aware and explains why an issue matters and how to fix it.

By reviewing changes as you work, it helps you improve code consistency and reliability across your projects.

Supported platforms

Supported Operating Systems

• Windows

• macOS

• Linux

Source Code Management (SCM) compatibility

Works seamlessly across a wide range of version control systems and workflows:

• Git

• Subversion (SVN)

• Mercurial

• Perforce

• Plain files (no SCM required)

This makes it suitable for both modern Git-based projects and legacy or enterprise codebases.

Why use AI Code Reviews in CLI?

Terminal-first by design

Run reviews directly from your terminal — locally, over SSH, or in cloud environments — without pushing code or opening an IDE. This makes it ideal for remote servers, containers, and minimal development setups.

Catch issues earlier (Shift Left)

Review code:

• Before committing

• Before pushing

• Before opening a pull request

• As part of automated CI/CD checks

Earlier feedback means fewer regressions, faster reviews, and lower cost of fixes.

Precise control over what gets reviewed

Review exactly what you want, when you want:

• Uncommitted local changes

• One or more recent commits

• Specific files or directories

• Differences against any branch, tag, or commit

This flexibility makes it easy to integrate into both individual and team workflows.

AI that understands context

Instead of only matching rules, the AI analyzes intent and structure. It can:

• Detect non-obvious bugs

• Explain trade-offs

• Suggest safer or cleaner alternatives

• Adapt feedback based on surrounding code

Fits seamlessly into existing workflows

Use it as:

• A pre-commit quality gate

• A pre-push validation step

• A CI/CD job that fails builds on critical issues

• An interactive review tool during active development

How it fits into the broader Bito ecosystem

AI Code Reviews in CLI complements other review surfaces by covering scenarios where IDEs or Git platforms are not ideal.

Platform	Best used for
AI Code Reviews in Git (GitHub, GitLab, Bitbucket)	Pull request and merge request reviews
AI Code Reviews in IDE (VS Code, JetBrains, Cursor, Windsurf)	Real-time feedback while coding
AI Code Reviews in CLI	CI/CD automation, remote or terminal-only workflows, pre-commit checks

Use the CLI when you need:

• Terminal-native workflows

• Automation and scripting

• Reviews in headless or remote environments

• Fast feedback without opening an IDE or browser

• Pre-commit/pre-push validation

Key features

Smart review modes & filtering

Focus on what matters most at each stage of development:

• Essential mode Shows only HIGH-severity issues — ideal for pre-commit or CI gates.

• Comprehensive mode Includes all severity levels for deeper analysis.

• Focus areas Limit reviews to specific concerns such as:

  • Security

  • Performance

  • Bugs

  • Tests

  • Documentation

• Severity filtering Display only high, medium, or low-priority findings as needed.

Output formats for humans and automation

Choose the format that fits your use case:

• Interactive terminal UI Colorized, structured output optimized for developer review.

• Plain text output Clean, deterministic output for logs and CI/CD systems.

• Prompt-only mode Minimal output designed for AI agents or tool chaining.

Interactive fix application

Apply suggested fixes safely and efficiently:

• Review each issue and its proposed change

• Apply or skip fixes individually

• Apply all remaining fixes in one step

• Automatic backups ensure changes are reversible

This enables faster iteration without losing control.

Security & privacy

• Reviews are run on-demand and scoped to selected files or changes

• Designed to integrate safely into local, remote, and CI environments

• No requirement to push code to a repository to get feedback

Getting started

Ready to start reviewing code from your terminal?

👉 Visit the Installation guide to get set up in minutes.

Next steps:

• How to use? – Run your first code review

• Available commands – Complete reference of CLI commands

• Configuration – Customize behavior for your workflow