Kilo Code - The best AI coding agent for VS Code and JetBrains
Write code more efficiently by generating code, automating tasks, and providing suggestions
Introduction
Write code more efficiently by generating code, automating tasks, and providing suggestions
Overview
Kilo Code - The best AI coding agent for VS Code and JetBrains is an open-source AI coding agent. By offering unthrottled access to over 400 language learning models, Kilo Code helps developers write code more efficiently. It boosts productivity by automating the tedious aspects of programming, such as bug fixing, and documentation, freeing developers to focus on the creative, more enjoyable aspects of coding. Kilo Code also solves the problem of vendor lock-in by providing full control with its open-source approach; users can choose from 400+ hosted models, run the tool locally, or bring their own keys. Complex projects are simplified with Orchestrator mode, which breaks them into subtasks and coordinates specialized agent modes, like architecture, implementation, and debugging. This tool ensures automatic error recovery and hallucination-free code generation, making it a comprehensive solution to accelerate the development process.
Key Features
Frequently Asked Questions
Pros & Cons
Advantages
- Open-source, free to start, no vendor lock-in.
- Supports 400+ LLMs, local or API providers.
- Automates mundane coding tasks effectively.
- Orchestrator mode for complex project handling.
- Automatic error recovery and debugging.
- Hallucination prevention is a key feature.
- Offers a memory bank for the AI to learn.
- Clear usage-based pricing model.
Disadvantages
- Dependence on external AI models.
- May require technical expertise for setup.
- Pricing for teams, not for individual use.
- Reliance on external API providers
Use Cases
- Automating dependency management in coding projects
- Identifying and fixing bugs in existing codebases
- Updating and generating documentation for code projects
- Updating and generating unit tests for code projects
- Resolving typing issues and improving code quality
- Updating and translating code into multiple languages
- Breaking down complex coding projects into manageable subtasks
- Delegating tasks such as architecture planning, implementation, and troubleshooting to specialized AI agents
- Debugging code with the 'debug' mode to find the root cause of errors
- Leveraging a memory bank to allow the AI to remember context and preferences
Who Is It For?
- Individual software developers seeking to boost productivity
- Software development teams looking to accelerate their coding workflow
- Open-source project maintainers who want help with code management
- Startups looking to minimize development costs and time-to-market
- Freelance developers and consultants who want to make faster progress
- Companies aiming to reduce technical debt related to documentation, testing, and code quality
- Students and educators in computer science or software engineering
- Teams using VS Code or JetBrains IDEs like IntelliJ, PyCharm, etc.
- Developers who value open-source solutions and avoid vendor lock-in
- Organizations seeking control over their AI models and data
Analytics Overview
Last updated December 14, 2025
Visits Over Time
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Top Keywords
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