Now Available

AI Adoption Score

Track and measure your team's AI adoption effectiveness with comprehensive analytics. Understand usage patterns, identify opportunities, and optimize your AI-assisted development workflow.

Get Started

Key Benefits

Quantify AI tool adoption and effectiveness
Identify team members who need additional training
Track productivity improvements over time
Optimize AI tool usage patterns
Demonstrate ROI of AI investments to stakeholders

Use Cases

1
Measuring team AI proficiency and adoption rates
2
Identifying training needs for team members
3
Reporting AI impact to executive stakeholders
4
Comparing adoption across different teams or projects
5
Setting and tracking AI adoption goals

About AI Adoption Score

AI Adoption Score provides deep insights into how effectively your team is leveraging AI tools. Track usage metrics, analyze productivity gains, identify training opportunities, and measure the impact of AI on your development workflow. Get actionable recommendations to improve adoption and maximize the benefits of AI-assisted development across your organization.

Use Kilo Everywhere

Kilo works where you work. Build alone or with your team.

VS Code
JetBrains
IntelliJ IDEA
IntelliJ
PyCharm
PyCharm
WebStorm
WebStorm
CLI
Cloud Agents
App Builder
Slack
Slack

What's Next

Explore features we're building for Kilo Code

Auto Fix

Automatically create PRs to fix or implement issues when they meet your filter criteria and confidence threshold, reducing manual review time and speeding up time to resolution.

Learn more →

Auto Triage

Automatically organize and manage GitHub issues with intelligent labeling, duplicate detection, and priority assignment to keep your issue tracker clean and actionable.

Learn more →

Slack Integration

Address Kilo directly in Slack to ask questions about your codebase, get code explanations, or create pull requests via cloud agents—all without leaving your team chat.

Learn more →
View All Features