Kilo Code Description

Kilo Code enables developers to accelerate their engineering workflows using an advanced, fully open-source coding agent built for real-world productivity. It provides specialized modes for planning, coding, debugging, orchestrating tasks, and answering technical questions without altering the existing codebase. The platform automatically detects errors, runs tests, and fixes failures, reducing the frustration of AI-generated mistakes. With its MCP marketplace and tools like Context7, Kilo grounds its output in accurate documentation to eliminate hallucinations. Developers benefit from seamless installation across major IDEs, terminals, and JetBrains environments, making it easy to integrate into existing workflows. The system supports multiple AI agents running in parallel, drastically increasing speed when tackling complex problems. Kilo also offers transparent model usage, open-source governance, and compatibility with more than 60 providers at honest, list-rate pricing. With hundreds of thousands of developers adopting it—many migrating from Cursor—Kilo has become a leading platform for agentic engineering.

Pricing

Pricing Starts At:
$15/user/month
Free Version:
Yes

Integrations

Reviews - 1 Verified Review

Total
ease
features
design
support

Company Details

Company:
Kilo Code
Year Founded:
2025
Headquarters:
United States
Website:
kilo.ai/

Media

Kilo Code Screenshot 1
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Product Details

Platforms
Windows
Mac
Linux
Types of Training
Training Docs
Customer Support
Online Support

Kilo Code Features and Options

Kilo Code User Reviews

Write a Review
  • Name: Justin S.
    Job Title: Full stack developper
    Length of product use: Less than 6 months
    Used How Often?: Daily
    Role: User
    Organization Size: 1,000 - 4,999
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Kilo Code: the Copilot-killer you didn’t see coming

    Date: Jun 24 2025

    Summary: A few months of daily use raised sprint velocity by ~30 %, slashed review cycles. Clear, measurable ROI.

    Positive: Ridiculously easy onboarding, slick UI, hyper-contextual code suggestions, smart refactoring, one-click docs generation, full-stack architecture templates, seamless VS Code integration . Feels like a senior architect whispering best practices in your ear while the whole squad’s velocity goes full turbo.

    Negative: Tends to over-engineer fixes on legacy code, needs high-speed internet for real-time inference, and the AI occasionally hallucinates exotic patterns that require manual cleanup.

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