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Exclusive research, reports, ROI tools, workshops, infographics, and ready-to-use presentation templates for engineering leaders looking to build a continuous improvement engine. 

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Learn how platform engineers from leading enterprises are enabling safe, scalable AI adoption across the SDLC.

The platform engineer’s guide to AI adoption

Navigate the AI transformation with a practical framework to measure and scale your AI maturity across the SDLC.

The DevEx leader's guide to scaling AI adoption

This guide goes beyond the AI hype to explore six emerging trends defining the future of AI-driven software engineering.

The 6 trends shaping the future of AI-driven development

We polled 400+ software engineers on how they’re integrating AI into their daily workflows. Here’s where they stand.

The DevEx guide to AI-driven software development

We polled 300+ CTOs, VPEs, and Engineering managers about DevEx and data-driven practices. 

Beyond The DORA Frameworks

Discover eight core engineering habits that will help you improve developer productivity and build a data-driven culture.

8 Habits of Highly Productive Engineering Teams

Developer productivity encompasses three key areas: efficiency, effectiveness, and experience–spanning critical engineering KPIs like DORA metrics, Business Alignment, and Developer Experience. In this handbook we cover: 


The CTOs Developer Productivity Handbook 

As you move from tool discovery to scheduling demos, the 2025 Buyer’s Guide to Developer Productivity Insight tools provides details into category capabilities, use cases, solutions and best practices when evaluating a purchase.

2025 Buyer’s Guide: Developer Productivity Insights

As you move from tool discovery to scheduling demos, the Developer Productivity Insights Evaluation Guide provides details into category capabilities, use cases, solutions and best practices when evaluating a purchase.

Developer Productivity Insights Evaluation Guide

Interact with your data using the LinearB MCP server to get the insight you care most about.

AI prompts for the LinearB MCP server

In this 35-minute workshop, you’ll learn how MCP insights and AI workflows are helping enterprise teams boost developer productivity and experience.

Closing the AI gap: Surpassing executive expectations for AI productivity

Discover how to track and drive AI productivity impact across your entire engineering organization.

AI productivity guide for engineering leaders

We built the industry’s first controlled evaluation framework to compare leading AI code review tools with real-world code, injected bugs & an objective scoring model.

AI code review tools: 2025 evaluation guide

In this 35-minute workshop, we’ll unpack how enterprise teams are redefining the PR lifecycle to accommodate AI-generated code at scale.

The AI upgrade to your SDLC: A data workshop on AI code reviews

By 2028, 60% of Fortune 500 companies will use developer productivity insight platforms to track developer productivity, up from 15% today. In this guide from Gartner, you'll discover:

Gartner® Market Guide: Developer Productivity Insight Platforms

Hear how leading enterprises are applying LLMs to accelerate testing and code migrations.

How Meta & Google are scaling AI across the SDLC

Learn what 20k high-performing teams are doing to remove friction and scale AI effectively.

The 6 bottlenecks slowing AI-driven development

Get the scoop on SEI and find out how VPs of Eng. at the world's largest enterprises are uniting operations to increase developer output.

Software Engineering Intelligence: Exposed & In Action

Learn to build a metrics program that boosts engineering efficiency and reduces cycle time by 47%.

Starting Your Engineering Metrics Program

A workshop for setting OKRs and KPIs that drive predictable software delivery.

Modern Practices for Goal Setting in Software Engineering

Join us as we explore the metrics that measure the impact GenAI has on the software delivery process.

Measuring Impact: GenAI Code

Google's DORA team and LinearB present the latest insights from this year's Accelerate State of DevOps Report.

DORA & LinearB present: Insights into the 2023 Accelerate State of DevOps Report

Learn the team level metrics that indicate quality and delivery risk, the OKRs that drive measurable business impact, and the metrics that matter to the CEO.

Benchmark: Building an Engineering Metrics Function

Explore the new technology Platform Engineering teams are using to create compound efficiency gains by shifting CI/CD workflow automation left.

Automate: Pre-merge Workflow Automation for Dev Efficiency

Explore the strategies engineering executives use to prioritize projects, allocate resources, and deliver key business outcomes.

Improve: Using Engineering Metrics to Accelerate & Report Roadmap Delivery

Watch this hands-on workshop to setup your PR workflows & scale dev efficiency

The AI Productivity Platform

Features

Resource Center

AI prompts for the LinearB MCP server

Closing the AI gap: Surpassing executive expectations for AI productivity

AI productivity guide for engineering leaders

AI code review tools: 2025 evaluation guide

The AI upgrade to your SDLC: A data workshop on AI code reviews

Gartner® Market Guide: Developer Productivity Insight Platforms

How Meta & Google are scaling AI across the SDLC

The platform engineer’s guide to AI adoption

The 6 bottlenecks slowing AI-driven development

The AI Productivity Platform

Features

Resource Center

AI prompts for the LinearB MCP server

Closing the AI gap: Surpassing executive expectations for AI productivity

AI productivity guide for engineering leaders

AI code review tools: 2025 evaluation guide

The AI upgrade to your SDLC: A data workshop on AI code reviews

Gartner® Market Guide: Developer Productivity Insight Platforms

How Meta & Google are scaling AI across the SDLC

The platform engineer’s guide to AI adoption

The 6 bottlenecks slowing AI-driven development

Join our community of data-driven dev leaders