Guide
The DevEx guide to AI-driven software development
We polled 400+ software engineers on how they’re integrating AI into their daily workflows. Here’s where they stand.
Use Cases
Measure AI Impact
Measure the impact of Copilot & Cursor on developer productivity
Easily measure and visualize the impact AI code assistant tools have on cycle time, team productivity, and developer experience.
Accelerating the future of engineering
Understand the ROI of your AI tools
Ready to unlock higher AI impact with one of our quickstart templates?
PR notifications
Surface active review requests and PR status updates to reduce idle time.
Learn More
Read our guide on Measuring GenAI Impact
Workflow automation has had a cascading impact on improving business outcomes while enabling my team to focus on solving the correct problems. Tracking DORA metrics helped us pinpoint areas of flow that could be enhanced, dramatically boosting team morale and engagement.
Craig W.
Head of Engineering, Flipdish
Go beyond measuring with automations
See automations library
Assign an expert reviewer
Automatically identify and assign the best reviewer for every pull request.
Auto-merge safe changes
Define what safe changes mean to you (docs, tests, images) and automatically approve them.
Label missing Jira info
Automatically label PRs that don't reference a Jira ticket in the title or description.
Review sensitive files
Define a custom list of files and directories that trigger additional reviews.
Quantify AI impact to maximize ROI.
More resources
Workflow
What is AI Code Review, How It Works, and How to Get Started
Learn all about AI code reviews, and how to implement AI to improve code quality, shorten code review time, and boost developer productivity.
Guide
The 6 trends shaping the future of AI-driven development
This guide goes beyond the AI hype to explore six emerging trends defining the future of AI-driven software engineering.