Kilocode

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kilocode is an open-source agentic engineering platform that accelerates code development. It generates code from natural language, performs self-correction, and automates tasks.

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At a glance

Pricing

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Free tier

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API

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Skill level

Technical

About

What is kilocode?

kilocode is an open-source agentic engineering platform designed to streamline the software development lifecycle. It empowers users to build, ship, and iterate on code more rapidly by leveraging AI. The platform's core functionality includes generating code directly from natural language prompts. A key feature is its ability to check and correct its own generated work, ensuring higher quality output. Furthermore, kilocode can execute terminal commands and automate browser-based tasks, extending its utility beyond just code generation to broader development workflows.

Best used for

Accelerating code development and automating repetitive engineering tasks through natural language and agentic capabilities.

Common actions

Generate code

Automate development tasks

Accelerate coding

Iterate on code

Self-correcting code

collaborationopen-sourcedeepfakeworkflowsautomated workflowlow-code/no-codegithub copilotface swapping"AI Agents"

Capabilities

Key features

Agentic engineering platform
Generates code from natural language
Self-correcting code generation
Runs terminal commands
Automates browser tasks

Target Audience

DevelopersSoftware EngineersDevOps EngineersTechnical Teams

Integrations

Not yet documented

Pricing & Plans

unknown

Free

FAQs

Given it's an open-source platform, are there any hidden costs or limitations to using kilocode for commercial projects?

As an open-source tool, kilocode itself is free to use. However, you might incur costs associated with the underlying AI models (e.g., OpenAI API, Anthropic API) that kilocode integrates with for its code generation and self-correction capabilities.

What programming languages and frameworks does kilocode primarily support for code generation?

While kilocode aims to be versatile, its effectiveness in generating code will depend on the training data of the integrated AI models. It generally performs well with popular languages like Python, JavaScript, and common web frameworks, but specific limitations may exist for niche technologies.

How does kilocode handle complex or ambiguous natural language prompts for code generation?

kilocode's 'self-correcting' mechanism is designed to refine generated code. For complex prompts, it attempts to identify errors or inefficiencies and iteratively improve the output, potentially asking for clarification or additional context if needed.

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Open Source & Models DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

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