LinearB Blog | Insights and Best Practices for Software Engineering Leaders

Eng. Metrics

Lines of Code metrics vs. the productivity metrics that matter

Lines of Code metrics don’t measure productivity. Learn why LOC is misleading and which engineering metrics actually reflect impact, efficiency, and value.

Workflow

The Rise of Product Engineers in the AI-Driven Era

AI is reshaping software development, and accelerating the rise of product engineers focused on end-to-end value, iteration speed, and user impact.

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.

Join our community of data-driven dev leaders

LinearB may send you email occasionally about how you can optimize productivity. We will not share your information with anyone. Ever.

Workflow

How Google Uses AI to Speed Up Code Migrations by 50%

Google used AI to automate 74% of a code migration and cut dev time by 50%. Learn how LLMs are transforming software maintenance and developer productivity

DevEx

Measuring Developer and Agent Productivity in an API-Driven World

Learn how to measure developer and agent productivity in an API-first world. Discover key API metrics, the rise of Agent Experience, and best practices for...

DevEx

Measuring and Reporting DevEx Metrics that Impact Business Value

Learn how to measure Developer Experience ROI, connect DevEx metrics to business outcomes, and communicate engineering impact to executives and investors.

The Matrix That Makes Your AI Strategy Make Sense

Learn how to map your AI adoption journey with the AI Collaboration Matrix—track coding, workflows, and strategy to build a smarter, agentic engineering org.

Workflow

Specialized AI Models: The Future of AI-Assisted Coding

Explore how specialized AI models outperform general LLMs in enterprise software development, from transparency to cost and code quality.

Eng. Metrics

Top 12 Software Quality Metrics to Measure and Why

Go beyond code coverage. Learn about the 12 key software quality metrics that truly reflect your engineering team’s performance, from MTTR to user satisfaction.

The Engineering Productivity Platform

Resources

Use Cases

Features

Productivity Research Center

6.1M PRs

< 26 Hrs

13.3%

Resources

Blog

Lines of Code metrics vs. the productivity metrics that matter

The Rise of Product Engineers in the AI-Driven Era

What is AI Code Review, How It Works, and How to Get Started

Join our community of data-driven dev leaders

How Google Uses AI to Speed Up Code Migrations by 50%

Measuring Developer and Agent Productivity in an API-Driven World

Measuring and Reporting DevEx Metrics that Impact Business Value

Most popular

Developer Experience Quantified: The Impact on Productivity

Syngenta and LinearB: Six Months Later

What is Developer Productivity and How to Measure It

The Matrix That Makes Your AI Strategy Make Sense

Specialized AI Models: The Future of AI-Assisted Coding

Top 12 Software Quality Metrics to Measure and Why