Introducing Token Spend & Insights: Finally Track and Consolidate All Your AI Spend
Developer Trust in AI Output Is Low. Is Your Team’s Skepticism Calibrated?
AI Coding Tools May Help Newer Developers More. Here’s How to Measure Onboarding ROI.
AI Coding Tool Adoption Is Social. Design Your Rollout Accordingly.
AI Coding Tool Adoption Is High. Is It Actually Part of the Workflow?
Microsoft’s AI Coding Agent Study Found a 24% PR Lift. Here’s the Cost Question.
How to Measure Claude Usage and Analytics on Claude Enterprise
How to Measure Claude Usage and Analytics on the Claude Team Plan
Which Engineering Teams Should Get More AI Coding Licenses First?
Your AI Coding Bill Grew From $50K to $500K. What Did You Get?
Your AI ROI Number Is a Team Average. Your Worst Repository Doesn’t Know That.
Per-Developer AI Budgets: What Uber, Microsoft and DoorDash’s Playbooks Actually Reveal
The AI Coding Tool J-Curve Nobody Told Your CFO About
Introducing Engineering Output: One Number for How Fast Engineering Is Actually Moving
The CTO’s AI Coding Tool Scorecard: 5 Metric Sets That Show What’s Actually Happening
AI Can Make Developers Faster or Slower. Here’s How to Measure the Difference.
Most AI Developer Productivity Dashboards Show What’s Easy to Count. Here’s What to Show Instead.
Agentic Coding Tools Can Produce More Work. Here’s How to Measure Whether It Creates Value.
Cursor Is Widely Deployed. Here’s How to Tell Whether Teams Are Using It Well.
Your Engineering Teams Use Multiple AI Coding Tools. You’re Only Measuring One of Them.
45% of AI-Generated Code Introduces a Security Vulnerability. Here’s How to Measure Quality at Scale.
Benchmark Scores Aren’t Enough to Pick an AI Coding Tool. Here’s What Is.
50,000+ Enterprises Use Cursor. Can You Prove What Yours Is Getting Back?
Claude Code Is Everywhere. Measuring Its ROI Is Not.
GitHub Copilot Has 4.7 Million Paid Subscribers. Can Your Enterprise Prove the ROI?
AI Is Accelerating Code Generation. Why Isn’t Change Lead Time Improving?
82% of Organizations Had a Major Production Failure From AI Code. Here’s How to Reduce Your AI Code Failure Rate.
AI-Native DORA Metrics: How to Measure Delivery in the Agent Era
What Is Verification Discipline?
Frontier Workers Use AI 6x More Intensively. Can You Identify Them?
AI-Assisted Code Had a 0.2% Revert Rate. Human-Only Code Hit 15.16%.
Deployment Frequency Rose 10x. Change Failure Rate Rose 83%. Now What?
Your Engineering Metrics Are Hiding What AI Is Actually Doing
Your Engineers Are Shipping More Code. That's Not the Same as More Value.
The AI Productivity Gap Nobody Is Measuring
How to Use GLM-5.2 in Claude Code and Cut Costs by Up to 50%
Where AI Coding Tools Move the Engineering Bottleneck
Developer Intelligence: What Is the AI Slop Index?
The CTO's Playbook for Managing AI Coding Spend
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