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Device Agents now shows who has one device, several, or none, with a per-employee report you can export. Plan & Billing splits first and additional devices.
Claude Code usage looks different for one developer and for a whole team. Here is how to check your own limits, then measure team adoption and output.
Cycle time vs lead time comes down to where the clock starts. Here is how each is measured, a worked example, and which one to put on your dashboard first.
MTTR is the average time your team takes to recover from a failure. Here is how to calculate it, why the average lies, and what actually shrinks it.
A code review checklist should catch what breaks production, not naming conventions. Here is the version built from PR data instead of habit.
Activity Log sessions now end when a device stops responding, so time after a shutdown, sleep, or dropped connection no longer counts as active time.
Bus factor measures how many people can leave before a project stalls. How to calculate it, why AI tools are raising it, and how to fix a low score.
A free capacity planning template plus the real-data fields most spreadsheets skip, before hidden overload quietly costs your team $500K to $2M a year.
Flaky tests quietly erode CI trust and slow every PR. What causes them, what they cost engineering velocity, and how to detect and fix them.
AI pair programming pairs a developer with an AI coding assistant in real time. What it is, how it differs from agentic coding, and how to measure ROI.
AI agent governance means permission scopes, audit logs, and cost guardrails for autonomous AI agents, not just tracking which chat tool people signed up for.
An EPSS score predicts how likely a vulnerability gets exploited. What it measures, how it differs from CVSS, and why you need both to prioritize.
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