Learn how Cody and Kilo differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai coding assistants is best for you.
Stars
Forks
Last commit
Repository age
License
Activity score

Stars
Forks
Last commit
Repository age
License
Activity score

Kilo appears to have several advantages over Cody, particularly in popularity and licensing. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Kilo significantly outpaces Cody in community adoption with 24,272 stars compared to 86 stars on GitHub. This 282.2x difference suggests Kilo has a much larger and more active community. In terms of developer contributions, Kilo has 2,783 forks, indicating strong developer engagement.
Both projects show recent activity, with Cody last updated 10 hours ago and Kilo 4 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Python, Golang, PHP. However, they differ in their additional technology choices: Cody uses Rust, C, Java, C++, Kotlin while Kilo leverages Next.js.
Both projects started around the same time, with Cody beginning 2 years ago and Kilo 1 year ago.
Kilo uses the MIT license, which is more permissive than Cody's Apache-2.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in AI Coding Assistants. However, they also have distinct specializations: Kilo extends into AI Code Reviewers, IDEs & Code Editors.