Report
2026 Software Engineering Benchmarks Report
Created from a study of 8.1+ M PRs from 4,800 engineering teams across 42 countries.
Competitors
LinearB vs. Flow
Flow gives you metrics. LinearB gives you control. Switch from a platform that reports on yesterday's bottlenecks to one that removes them.
Trusted by the teams transforming software delivery
Why companies choose LinearB
LinearB and Flow both provide DORA metrics and cycle time dashboards.
But LinearB goes much further as an end-to-end engineering productivity platform that measures AI impact, automates developer workflows, and actively improves how your engineering organization delivers, not just documents it.
Orchestrating and measuring AI workflows
Flow was built before AI-assisted development became a meaningful category. It can't tell you whether Copilot is improving your throughput, whether AI-generated code is safe, or where autonomous agents are creating risk.
LinearB gives you full control over how AI is applied to your team's workflows. AI code reviews catch security risks, bugs, and spec mismatches before they merge. AI impact tracking across 50+ tools connects tool adoption to real delivery outcomes: cycle time, throughput, and code quality. The pull request is the unit of value: LinearB ties AI activity to committed PRs, not tool-native vanity dashboards. The MCP server lets your team query engineering data in plain language, so insights reach the people who can act on them.
Developer productivity insights
Flow provides basic developer activity metrics: commit counts, coding days, and a composite Impact score that engineers don't trust and managers can't safely act on.
Companies like IKEA, Expedia, and Adobe choose LinearB because the platform delivers deep quantitative and qualitative insights. Benchmarks drawn from 8.1M+ pull requests across 4,800 engineering teams tell you not just what's happening but where you stand. Developer surveys pair experience data with delivery metrics in a single view. And APEX, LinearB's proprietary operating model, gives you the framework to connect AI leverage, predictability, flow efficiency, and developer experience into a system that reveals whether your AI investments are creating sustainable value.
Team coaching, forecasting, and executive support
Flow has gone through three ownership changes since its founding as GitPrime. It remains focused on historical developer activity reports while engineering organizations have moved on to harder problems.
LinearB gives you the ability to forecast project delivery with AI-powered risk signals, automate cost capitalization for audit-ready finance reporting, coach developers with data-driven 1:1 insights, and generate executive reports that connect engineering investment to business outcomes. From the sprint to the board deck, engineering leaders use LinearB to lead with evidence.
Stop buying dashboards. Start helping your developers do more.
LinearB
Jellyfish
The industry perspective
Market Guide for Developer Productivity Platforms 2025
The LinearB impact
Enterprises choose LinearB because metrics alone aren't enough. Get the ability to define exactly how code is brought to production.
0+ hrs/wk
Time saved per developer using AI and workflow automations
-0%
Reduction in cycle time in the first year
0+ actions
Average LinearB automations run per PR
0M+
Software engineers using LinearB for a better experience
More resources
Guide
The APEX framework
An operating model for engineering productivity with practical guidance for how to measure AI impact.
Report
LinearB is a Leader in the 2026 Gartner® Magic Quadrant™ for Developer Productivity Insight Platforms
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