# 2026 Software Engineering Benchmarks Report

> Created from a study of 8.1+ M PRs from 4,800 engineering teams across 42 countries.

[Resource Center](https://linearb.io/resources)

# 2026 Software Engineering Benchmarks Report 

The 2026 Software Engineering Benchmarks Report is created from an analysis of 8.1+ million pull requests from 4,800+ organizations worldwide. Inside you’ll find: 

* State of the market: Survey results and reflections from our 2026 AI in Engineering Leadership survey.
* 2026 benchmarks: This year’s benchmarks include 20 metrics spanning the entire SDLC – plus all-new AI metrics.
* \[NEW\] AI insights: A brand new segment breaking down the impact AI tools are having on delivery velocity, code quality, and team health.

# 2026 Software Engineering Benchmarks Report 

Download your free copy

![Cover graphic for the 2026 Software Engineering Benchmarks Report](https://assets.linearb.io/image/upload/c_fit,w_3840,h_2009/f_auto/q_auto/v1/Benchmarks-rountable-social?_a=BAVMn6ID0)

## What's inside?

## 2026 benchmarks breakdown

This year’s benchmarks include 20 metrics spanning the full SDLC – plus all-new AI metrics. Discover industry benchmarks for:

* Delivery: Cycle Time, Deploy Frequency, PR Size, and more
* Predictability: Change Failure Rate, Rework Rate, Planning Accuracy, and more
* Project Management: Issues Linked to Parents, In Progress Issues with Assignees, and more

![2026 Software Engineering Benchmarks Report](https://assets.linearb.io/image/upload/c_fit,w_3840,h_3840/f_auto/q_auto/v1/2026-software-engineering-benchmarks?_a=BAVMn6ID0)

## Real stories from top engineering leaders 

Data alone doesn’t tell the full story. That’s why this year’s report goes beyond metrics, capturing real-world perspectives from top engineering leaders regarding questions like:

* What’s been the biggest challenge or concern with using AI in your role?
* How confident are you in the quality of AI-generated code or suggestions?
* Looking ahead, how do you expect AI to influence your work in the next 12 months?

![The State of AI readiness](https://assets.linearb.io/image/upload/c_fit,w_3840,h_3840/f_auto/q_auto/v1/the-state-of-ai-readiness?_a=BAVMn6ID0)

## NEW AI productivity insights

This year’s report takes a hard look at AI’s impact on productivity. Here are a few of the standout findings from this year’s data:

* AI PRs wait 4.6x longer before review – but are reviewed 2x faster once picked up.
* Acceptance Rates for AI-generated PRs are significantly lower than manual PRs (32.7% vs. 84.4%).
* Bot Acceptance Rates vary widely by tool, with Devin’s rising since April and Copilot’s slipping since May.

![Agentic AI PRs have a PR PIckup Time 5.3x longer than Unassisted ones.](https://assets.linearb.io/image/upload/c_fit,w_3840,h_3840/f_auto/q_auto/v1/agentic-ai-prs-have-longer-pickup-time?_a=BAVMn6ID0)

Download your free copy

![Cover of the 2026 Software Engineering Benchmarks Report](https://assets.linearb.io/image/upload/c_fit,w_3840,h_3146/f_auto/q_auto/v1/2026-benchmarks-report-cover?_a=BAVMn6ID0)

## More resources

[![Cover image for From measurement to action: moving off Appfire Flow without starting over](https://assets.linearb.io/image/upload/v1784221652/webinar_appfire_flow_migration_7387e46670.webp)](https://linearb.io/blog/flow-migration)

Workshop

[From measurement to action: moving off Appfire Flow without starting over](https://linearb.io/blog/flow-migration)

Join a live workshop on making the move off Appfire Flow without losing your history, your team structure, or your momentum. 

[![Cover image for Migrating from Appfire Flow: a practical guide for engineering teams](https://assets.linearb.io/image/upload/v1782700577/Blog_Moving_beyond_flow_88c071e703.svg)](https://linearb.io/blog/appfire-flow-migration-guide)

Guide

[Migrating from Appfire Flow: a practical guide for engineering teams](https://linearb.io/blog/appfire-flow-migration-guide)

Flow will cease operations in 2027\. If your team built workflows, dashboards, and quarterly reviews around Flow, you have a real problem on a fixed deadline. 

[![Cover image for Life beyond tokenmaxxing: AI efficiency for the long term](https://assets.linearb.io/image/upload/v1782491544/Email_Webinar_Stop_counting_tokes_88aced1c77.png)](https://linearb.io/blog/life-beyond-tokenmaxxing)

Workshop

[Life beyond tokenmaxxing: AI efficiency for the long term](https://linearb.io/blog/life-beyond-tokenmaxxing)

Watch a 45-minute session on how to measure AI's real impact across the SDLC and win the executive conversation about engineering efficiency.