Kilo Code

Kilo Code is an AI coding assistant built for developers who want more than simple autocomplete. It helps with writing code, planning features, debugging issues, reviewing changes, and automating parts of the development workflow.

What makes Kilo Code stand out is its open-source approach and flexible setup. Instead of locking users into one model or one coding environment, it works across tools like VS Code, JetBrains, and the command line, which makes it a practical option for solo developers, teams, and technical power users.

What Kilo Code does

Kilo Code is designed to support end-to-end software development. You can use it to generate code from prompts, refactor existing files, trace bugs, ask questions about a codebase, and get structured help before you start building a feature.

It includes several agent modes for different tasks. For example, Code Mode focuses on writing and editing code, Architect Mode helps plan more complex features, and Debug Mode is aimed at finding and fixing errors faster. There is also an Ask mode for questions and a Custom mode for tailored workflows.

Who Kilo Code is for

Kilo Code is mainly for software developers, engineering teams, technical founders, and advanced builders who want AI help inside their normal development workflow. It is especially useful for people who prefer working inside their IDE or terminal instead of switching to a separate chat tool.

Because it supports multiple environments and models, it can also appeal to users who want more control over how their AI coding setup works. That includes developers comparing alternatives to closed AI coding platforms.

Main features

Kilo Code offers a strong feature set for modern development work. Its core features include AI-powered code generation, refactoring, debugging support, code review workflows, and codebase-aware assistance.

It also supports multiple working surfaces, including VS Code, JetBrains, CLI, Slack, and synced sessions across environments. On top of that, Kilo highlights cloud agents, autocomplete, team collaboration features, and support for MCP, which can help extend workflows with external tools and documentation sources.

Another notable benefit is model flexibility. Kilo Code is built to work with different AI models rather than forcing users into one provider, and users can connect an AI provider or use Kilo's built-in credits.

How to use Kilo Code

Getting started with Kilo Code is fairly straightforward. First, install Kilo Code in your preferred environment, such as VS Code, JetBrains, or the CLI. Then connect an AI provider or choose Kilo's own built-in provider and credits.

Once setup is complete, you can give it a task in natural language. For example, you might ask it to build a feature, explain a function, fix a bug, refactor a file, or review part of your codebase. Kilo Code can also help configure itself, including updates to its configuration file, which lowers the setup barrier for new users.

A simple beginner workflow looks like this: install the extension, connect your model or credits, open a project, and start by asking Kilo to explain your codebase or generate a small feature. From there, you can move into planning, debugging, and review tasks as needed.

Common use cases

Kilo Code fits a wide range of development tasks. Developers can use it to scaffold new components, create boilerplate, clean up messy code, and generate test cases. It can also help investigate runtime errors and suggest fixes based on logs or code context.

For teams, it can support collaboration and AI-assisted code review. For builders working quickly, it can speed up early product development by turning rough ideas into working code faster than a manual workflow alone.

Pricing

Kilo Code itself is free and open source, which makes it easy to try without a subscription for the core coding assistant. However, AI usage is billed separately. Users can either connect their own AI provider or pay through Kilo's usage options.

Kilo also offers Kilo Pass, a paid credit subscription that starts at $19 per month, with higher tiers available. This means the overall pricing is best described as freemium: you can start for free, but ongoing AI usage may cost extra depending on how you use it.

Platforms and integrations

Kilo Code supports VS Code, JetBrains, and the CLI as its main coding environments. Its documentation also points to Slack support, mobile access on iOS and Android, and session syncing across environments.

For integrations, Kilo mentions MCP support and broader workflow connections through its ecosystem. That makes it a good fit for developers who want to combine AI coding with documentation lookup, automation, and team communication tools.

Why Kilo Code is worth a look

Kilo Code is a strong option for developers who want an AI coding assistant that feels flexible rather than restrictive. Its open-source foundation, support for multiple platforms, agent-based workflow modes, and choice of AI models make it appealing for users who want control as well as convenience.

If you want an AI tool that can help you write, plan, debug, and review code across your everyday workflow, Kilo Code is worth exploring. It is especially attractive for developers who like open tools and want to avoid being tied to a single model or closed platform.