What is Kilo?
Kilo is a coding AI platform that uses specialized AI agents to help developers build, edit, review, and deploy code across their preferred environments. It supports VS Code, JetBrains IDEs, CLI, Slack, cloud, and mobile devices. Kilo simplifies complex development tasks by automating code generation, refactoring, bug fixes, and deployments. The platform lets users choose from over 500 AI models for each task, manage agent workflows, and maintain development context across sessions. As a coding AI platform, Kilo helps teams code faster, with higher consistency and fewer manual steps.
Kilo Features
- IDE integration – Use Kilo directly in VS Code, JetBrains, and CLI for seamless AI coding.
- Autocomplete – Get real-time inline code suggestions and completions powered by AI.
- Code actions – Refactor, fix bugs, and edit code with smart one-click AI suggestions.
- Code reviews – Use AI agents to analyze pull requests, catch bugs, and enforce quality standards.
- App builder – Visually design full-stack apps and convert them into production-ready code.
- Fast edits – Make quick modifications to files or functions using natural language prompts.
- Task and todo lists – Break large projects into actionable subtasks with AI assistance.
- Checkpoints – Save and restore working states to easily return to previous versions.
- Deploy from IDE – Push code to production with automated configuration and minimal setup.
- Model selection – Choose the best model from over 500 local, cloud, or custom options per task.
- Context mentions – Reference files, functions, and symbols to guide AI behavior.
- Orchestrator mode – Break complex projects into subtasks and delegate them to other agents.
- Sessions – Retain active sessions across devices, including code, context, and agent history.
- Slack integration – Ask questions, generate code, or deploy from your workspace chat.
- Browser use – Automate interactions or coding tasks inside a web browser environment.
- Git commit generation – Write clear commit messages using AI that understands your changes.
- Enhance prompt – Automatically refine your input for more accurate AI outputs.
- Memory bank – Store architecture decisions and past interactions to reduce repetition.
- Custom skills – Extend Kilo with shareable packages of workflows and domain knowledge.
- Open source – Fully inspectable and editable codebase with no hidden processing.
Real-world applications
A full-stack developer may use Kilo’s Autocomplete and Code Actions features to reduce the time spent on repetitive JavaScript or Python code. By referencing specific files and symbols with Context Mentions, they can guide the AI to make targeted changes and accelerate development.
A mobile app team might build and deploy a cross-platform project using App Builder, switching between iOS and Android devices. They can use the Task List and Checkpoint features to manage progress and roll back to prior versions when needed, all from the coding AI platform.
An engineering team lead may coordinate feature rollouts using Orchestrator mode. With parallel agents running across different modules, they can split the project into smaller parts and track progress via Sessions. They might also use Slack integration to assign tasks and review pull requests without switching tools.
A data engineer could automate CLI-based workflows and script generation using Kilo’s terminal interface. With voice prompting and Git commit generation, they can navigate their tasks faster while maintaining code traceability.
