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

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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

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?

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.