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What is Kilo Code Reviewer?

Kilo Code Reviewer represents a cutting-edge solution in the realm of code review, harnessing AI to promptly evaluate pull requests as soon as they are created or modified, while understanding the context of the changes and offering actionable feedback through inline comments, comprehensive explanations, and recommendations that aim to uncover bugs, security flaws, performance problems, style discrepancies, testing shortfalls, and absent documentation before human experts take a look. This innovative tool integrates effortlessly with platforms such as GitHub and GitLab, with plans for Bitbucket integration on the horizon, giving users the flexibility to select from various models and tailor the thoroughness and focus of reviews to fit their team's coding conventions. Additionally, it can be run locally in widely-used IDEs like VS Code or JetBrains, enabling developers to identify issues prior to committing their code. The installation process is user-friendly: just connect a repository, pick an AI model along with review parameters, and the system will automatically start tracking pull requests, ensuring consistent compliance with coding standards and providing prompt, context-aware feedback that enhances the effectiveness of human reviewers. Consequently, Kilo Code Reviewer not only optimizes the review workflow but also plays a crucial role in elevating code quality and boosting team efficiency, ultimately leading to a more robust development process. This tool represents a significant advancement in the way developers approach code quality and collaborative programming.

What is Amp?

Amp is a frontier coding agent designed to redefine how developers interact with AI during software development. Built for use in terminals and modern editors, Amp allows engineers to orchestrate powerful AI agents that can reason across entire repositories, not just isolated files. It supports advanced workflows such as large-scale refactors, architecture exploration, agent-generated code reviews, and parallel course correction with forced tool usage. Amp integrates leading AI models and layers them with robust context management, subagents, and continuous tooling improvements. Developers can let agents run autonomously, trusting them to produce consistent, high-quality results across complex projects. With strong community adoption, rapid feature releases, and a focus on real engineering use cases, Amp stands out as a premium, agent-first coding platform. It empowers developers to ship faster, explore deeper, and build systems that would otherwise require significantly more time and effort.

Media

Media

Integrations Supported

GitHub
GitLab
Anaconda

Integrations Supported

GitHub
GitLab
Bitbucket
CUDA
Claude Fable 5.5
Claude Haiku 5.5
Claude Sonnet 3.5
Claude Sonnet 4.5
Dart
GPT-4o
GPT-5.4 mini
Gemini
Gemini 3 Deep Think
Neovim
OpenAI Bel
Slack
YAML
ui.sh

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Free
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Kilo Code

Date Founded

2025

Company Location

United States

Company Website

kilo.ai/code-reviewer

Company Facts

Organization Name

Amp Code

Company Location

United States

Company Website

ampcode.com

Categories and Features

AI Code Review

Not specified

Categories and Features

Agentic AI

Not specified

AI Code Generators

Not specified

AI Code Refactoring

Not specified

AI Code Review

Not specified

AI Coding Agents

Not specified

AI Coding Assistants

Not specified

AI Tools

Not specified

Vibe Coding

Not specified

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