Meghan LaClair

Helping unlock the full potential of people with minware.

Latest Articles

AI cost management

Engineering Analytics Security Architecture: How minware Protects Source Code, AI Tool Data, and Engineering IP

Meghan LaClair • Sep 16, 2026
AI cost management

Cursor Analytics Platforms Compared: What Each Tool Measures

Meghan LaClair • Sep 15, 2026
AI cost management

AI Token Cost Management Program: A Buyer's Guide for Engineering Leaders

Meghan LaClair • Sep 11, 2026
AI cost management

Claude Code OTel Export: The Business Case for Normalized Agent Telemetry

Meghan LaClair • Sep 11, 2026
AI cost management

Claude Code Analytics API ROI Reporting: Correlating Token Spend to Delivery Outcomes

Meghan LaClair • Sep 4, 2026
AI cost management

Claude Code Team Analytics: What to Look for in an Org-Wide View

Meghan LaClair • Sep 4, 2026
AI cost management

Claude Code Enterprise Usage: Tracking Spend Across Multiple Teams

Meghan LaClair • Sep 4, 2026
AI cost management

Claude Code Usage Tracking: The Complete Guide for Engineering Leaders

Meghan LaClair • Sep 4, 2026
AI cost management

Span vs. minware for Claude Code Usage Tracking in 2026

Meghan LaClair • Sep 4, 2026
AI cost management

Is Claude Code Usage Tracking Right for Your Engineering Org?

Meghan LaClair • Sep 4, 2026
AI cost management

Claude Code Usage Audit: How to Conduct a Token Spend Review

Meghan LaClair • Sep 4, 2026
AI cost management

Diagnosing Silent Claude Admin API Failures Before They Break Your ROI Reporting

Meghan LaClair • Aug 27, 2026
AI cost management

Claude Admin API Implementation Guide: Connecting Usage Data to Engineering Delivery Metrics

Meghan LaClair • Aug 26, 2026
AI cost management

What Is AI Token Cost Management? Definition, Components, and Why It Matters

Meghan LaClair • Aug 26, 2026
AI cost management

Claude Code Usage Tracking Limitations: What It Can't Tell You

Meghan LaClair • Aug 26, 2026
AI cost management

Claude Code Usage Data: What to Capture and What to Skip

Meghan LaClair • Aug 25, 2026
AI cost management

Claude Code Analytics Implementation Timeline: From Connection to First Report

Meghan LaClair • Aug 25, 2026
AI cost management

AI Token Cost Management Features That Actually Matter and the Ones That Don't

Meghan LaClair • Aug 25, 2026
AI cost management

How to Prove GitHub Copilot's ROI Across Your Engineering Team

Meghan LaClair • Aug 25, 2026
AI cost management

Claude Admin API vs. Internal Usage Tracking: Build vs. Buy for AI Reporting

Meghan LaClair • Aug 25, 2026
AI cost management

Claude Code Usage Tracking vs Manual Tracking: What's Actually Defensible

Meghan LaClair • Aug 21, 2026
AI cost management

Proving Claude Code ROI Across Teams: An Audit-Ready Framework for Engineering Leaders

Meghan LaClair • Aug 21, 2026
AI cost management

GitHub Copilot Usage Tracking & Metrics: The Complete Engineering Leader's Guide

Meghan LaClair • Aug 21, 2026
AI cost management

AI Coding Tool Monitoring Security Requirements: What IT and Security Teams Need to Know

Meghan LaClair • Aug 12, 2026
AI cost management

Best Practices for AI Coding Tool Cost Management

Meghan LaClair • Aug 12, 2026
AI cost management

How Engineering Managers Can Prove AI Tool ROI with Data

Meghan LaClair • Aug 12, 2026
AI cost management

Claude Code Usage Metrics: The 12 Metrics Engineering Leaders Should Track

Meghan LaClair • Aug 12, 2026
AI cost management

Claude Code Monitoring Onboarding Checklist: What Your First 30 Days Should Include

Meghan LaClair • Aug 10, 2026
AI cost management

Cursor Adoption Tracking: Measuring Team-Level Usage Patterns

Meghan LaClair • Aug 10, 2026
AI cost management

Claude Code Usage Monitoring Tools: The Complete Buyer's Guide for Engineering Leaders

Meghan LaClair • Jul 29, 2026
AI cost management

Claude Code Monitoring Tool Comparison: Features That Actually Matter

Meghan LaClair • Jul 28, 2026
Data Engineering

How to Get Reporting Data Out of Claude Code

Meghan LaClair • May 14, 2026
Software Engineering
Agile

Change Failure Rate in the Age of AI-Generated Code

Meghan LaClair • Apr 21, 2026
Principles
Software Engineering

Using Cycle Time to Measure AI Productivity Gains

Meghan LaClair • Apr 14, 2026
Agile
Software Engineering

Using DORA Metrics to Evaluate Your AI Coding Investment

Meghan LaClair • Apr 14, 2026
Principles

How to Evaluate AI Coding Tools Before Rolling Them Out

Meghan LaClair • Mar 25, 2026
Software Engineering

How to Track Technical Debt Introduced by AI Agents

Meghan LaClair • Mar 24, 2026
Agile
Software Engineering

How to Use AI for Code Review: What to Automate and What Not To

Meghan LaClair • Mar 23, 2026
Principles
Software Engineering

10 Pull Request Template Sections That Speed Up Code Reviews

Meghan LaClair • Feb 4, 2026
Software Engineering
Agile

Engineering Metrics That Work In Legacy Codebases

Meghan LaClair • Dec 22, 2025
Agile
Software Engineering

Invisible Wait Time Metrics for Distributed Engineering Teams

Meghan LaClair • Dec 22, 2025
Software Engineering
Agile

How Flow Metrics Can Cut Delivery Time In Half

Meghan LaClair • Dec 22, 2025
Principles

How to Calculate Platform Engineering ROI

Meghan LaClair • Dec 18, 2025
Software Engineering
Agile

7 Early Warning Metrics for Engineering Burnout

Meghan LaClair • Dec 18, 2025
Software Engineering
Principles

How AI Coding Tools Exposed Broken Dev Productivity Metrics

Meghan LaClair • Dec 18, 2025
Agile
Software Engineering

Measure AI Workflow Impact with a Cumulative Flow Diagram (CFD)

Meghan LaClair • Nov 26, 2025
Software Engineering
Principles

Flaky Tests Are Quietly Skewing Your DORA Metrics

Meghan LaClair • Nov 26, 2025
Principles
Software Engineering

Why the Test Pyramid Matters More Than Ever in AI-Assisted Development

Meghan LaClair • Nov 26, 2025

The Impact of Feature Flags on DORA Metrics

Meghan LaClair • Nov 25, 2025
Agile
Principles

Why DORA Metrics Fail Without Consistent Definitions

Meghan LaClair • Nov 25, 2025
Software Engineering

Speed vs. Quality? With These Metrics, CTOs Can Achieve Both

Meghan LaClair • Nov 3, 2025
Agile
Software Engineering

How Developers Game Sprint Metrics (and How to Prevent It)

Meghan LaClair • Oct 31, 2025
Agile
Principles
Software Engineering

Story Points vs. Time Estimates

Meghan LaClair • Oct 30, 2025
Principles
Software Engineering

How Engineering and Product Teams Can Collaborate Better Using Metrics

Meghan LaClair • Oct 29, 2025
Principles
Software Engineering

Direct Commits to Main Are a Silent Quality Risk

Meghan LaClair • Oct 28, 2025
Principles
Agile

Engineering Forecasting: How to Predict Software Delivery with Confidence

Meghan LaClair • Oct 27, 2025
Agile
Software Engineering

Spotting Scope Creep Before It Derails Your Sprint

Meghan LaClair • Oct 24, 2025
Software Engineering
Agile
Principles

What Is Software Delivery Friction and How Do You Fix It?

Meghan LaClair • Oct 23, 2025
Agile
Software Engineering

Top 5 KPIs for Predictable Sprint Delivery

Meghan LaClair • Sep 28, 2025
Software Engineering
Principles

How to Design a Metrics Program That Scales with Your Organization

Meghan LaClair • Sep 25, 2025
Agile
Software Engineering

Tracking Cross-Team Dependencies: Metrics to Expose Hidden Bottlenecks

Meghan LaClair • Sep 24, 2025
Software Engineering
Agile

Managing Quality with Error Budgets and Service Level Objectives

Meghan LaClair • Sep 23, 2025
Principles
Software Engineering

Debugging a Failed Metrics Initiative

Meghan LaClair • Sep 22, 2025
Agile
Software Engineering

Cycle Time vs Lead Time: Understanding Flow Metrics That Drive Predictability

Meghan LaClair • Sep 19, 2025
Agile
Principles

How to Run a Data-Informed Sprint Retrospective

Meghan LaClair • Sep 18, 2025
Software Engineering

5 Ways to Improve Code Quality Without Slowing Your Team Down

Meghan LaClair • Sep 15, 2025