AI Adoption Dashboard

Understand how AI assisted coding tools are transforming your engineering teams. Track adoption, measure productivity impact, and gain clear insights into how AI contributes to faster software delivery and improved developer efficiency.

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Why It Matters

Why AI Adoption Insights Matter

Many organizations are investing heavily in AI assisted coding tools, but lack visibility into how these tools are actually being used. Without insights into adoption, engagement, and productivity impact, it becomes difficult for engineering leaders to measure value or optimize AI usage.

The AI Adoption Dashboard helps organizations: Measure developer adoption, understand productivity improvements, identify leading teams, track ROI, and optimize licensing.
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83.75% Adoption Rate
AI Adoption Summary
Summary

AI Adoption Summary

A consolidated view of key adoption and productivity metrics across the organization.

Adoption Rate

83.75%

AI Tool Usage

Code Suggested

424.9K

Lines Generated

Code Accepted

98.5K

Lines Accepted

Chat Interactions

409.6K

AI Conversations

Productivity

11.09%

Improvement

Cost Savings

€2M

Estimated

Engagement

Engagement Dashboard

Understand how developers are interacting with AI tools across teams and over time.

Track: Licenses issued, daily active users, team adoption rates, and proficient users who can mentor others.
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Daily Active Users
Engagement Dashboard
Licenses Issued

Track how many AI tool licenses are allocated and identify unused licenses.

Daily Active Users

Monitor how many developers actively use AI tools in their daily workflow.

Team Adoption

Identify which teams are adopting AI tools most effectively.

Proficient Users

Discover advanced users who can help mentor others and promote best practices.

Utilization

Utilization Dashboard

Deeper insights into how AI generated suggestions contribute to the development lifecycle.

Understand the volume of code generated, acceptance rates, language insights, and which developer environments drive the most AI productivity.

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High Acceptance Rate
Utilization Dashboard
AI Generated Code

Understand the volume of code generated by AI assistants.

Acceptance Rate

Measure how frequently AI generated suggestions are accepted.

Language Insights

Identify programming languages where AI provides the most value.

Editor Usage

Analyze which developer environments drive the most AI productivity.

Impact

Business Impact

Measurable outcomes from tracking and improving AI adoption across your engineering organization.

Increase Engineering Productivity

Quantify time saved through AI assisted code generation and review.

Accelerate Software Delivery

Ship faster by identifying where AI is reducing cycle time most effectively.

Improve Developer Experience

Understand which tools developers rely on most and invest accordingly.

Optimize AI Tool Investments

Identify unused licenses and reallocate budget where AI delivers real value.

Enable Data Driven Leadership

Back engineering decisions with adoption metrics, not assumptions.

Who Benefits

Who Benefits

Teams across the organization gain actionable insights from AI adoption data.

Engineering Leaders

Monitor AI adoption across teams and identify productivity opportunities.

CTO & Technology Leadership

Measure ROI from AI investments and track engineering efficiency.

Developer Experience Teams

Improve developer tooling and support AI adoption initiatives.

Finance & Operations

Track licensing utilization and optimize technology spending.

Drive Smarter AI Adoption

Gain complete visibility into how AI assisted coding is transforming your engineering organization and unlock the full potential of AI driven development.

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