AI DLC Insights gives engineering leaders a unified view of AI adoption, spend efficiency, and delivery impact across coding agents, teams, and workflows. Track how AI-generated work moves through the development lifecycle, and understand whether your AI investment is helping your teams ship better software faster.
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Get started with AI DLC Insights
Learn about Harness AI DLC Insights and how to get started.
What's supported
AI DLC Insights integrates with a number of third-party providers to provide a centralized visibility on engineering work.
Key concepts
This topic outlines the core concepts that power AI DLC Insights.
Set up AI DLC Insights
Configure Integrations
AI DLC Insights uses integrations to ingest data from your SDLC tools.
Set up Profiles
Profiles aggregate data for Efficiency, Productivity metrics, and more.
Set up Org Trees
Setup the org tree to group developers for performance visibility.
Set up & Manage Teams
Setup Teams that represents a group of developers working together within the organizational hierarchy
API
Programmatically manage developer identities and export productivity and efficiency metrics using the AI DLC Insights API.
View AI DLC Insights
Measure Engineering Efficiency
Use the efficiency dashboard to measure key DORA and sprint-based metrics for your team.
Measure Developer Productivity
Use the productivity dashboard to measure the key productivity metrics for your developers.
Analyze AI Insights
Understand how AI coding assistants impact developer productivity.
Measure Business Alignment
Track and analyze how engineering initiatives contribute to business outcomes.
Analyze Security Insights
Identify and analyze security hotspots and trends across your engineering organization.