2 min read

How Mindex Helped a Software Engineering Team Increase Development Throughput by 38%

Mindex Sep 11, 2026, 9:41:05 AM

AI Customer Stories

How Mindex Helped a Software Engineering Team Increase Development Throughput by 38%

AI gives experienced software engineers new tools to accelerate development and delivery.

By combining AI-assisted development with engineering expertise, workflow improvements, and purpose-built tooling, Mindex helped a reporting team achieve a 38% increase in development throughput, a 37.5% reduction in cycle time, and a 128.8% increase in pull request throughput.

A special shoutout to Mindex’s “Rage Against the Code” team, our Statement of Work team behind the scenes, whose creativity, collaboration, and commitment helped make these results possible.

Key Results

38%

Increase in development throughput

128.8%

Increase in pull request throughput

37.5%

Reduction in cycle time

Challenge

As the reporting team continued advancing its technology and evaluating new opportunities for AI-enabled development, it was looking for ways to increase productivity, accelerate delivery, and accomplish more with available resources.

For the Mindex team supporting the reporting organization, the opportunity was not simply to experiment with AI. The goal was to incorporate AI into everyday development workflows in ways that could produce measurable improvements while maintaining the quality and discipline expected of enterprise software development.

The team began integrating AI into development activities while also improving supporting processes and leveraging internal tooling designed to make AI-assisted development more effective.

The Solution

Mindex incorporated AI into its software development workflow, using AI-assisted development alongside experienced engineering practices and team-built tooling.

This included:

Accelerating coding and engineering tasks with AI
AI-enabled workflow automation
Tooling to support development and testing
Improved story readiness and development processes
Experienced engineers overseeing and applying AI-generated output

Together, these practices allowed the team to apply AI where it could provide the greatest leverage while keeping engineering judgment and quality controls at the center of the process.

The Results

The team saw measurable improvements across several development metrics.

38% Increase in Development Throughput

Code development increased from 9.69 to 13.36 story points per week, representing a 38% increase in development throughput.

128.8% Increase in Pull Request Throughput

Pull request throughput increased by 128.8%. This increase was influenced in part by end-of-project cleanup activities and process improvements that improved story readiness before development began.

37.5% Reduction in Cycle Time

Average cycle time improved from 8 days to 5 days, a 37.5% reduction.

Together, these improvements demonstrate how AI-assisted development can help engineering teams increase delivery velocity when combined with effective processes, experienced engineers, and purpose-built tooling.

Ready to explore what AI-assisted development could do for your team?

Mindex’s AI Lab helps organizations identify opportunities to apply AI within their software development workflows. Bring your software, your team, and a development challenge, and Mindex engineers will work with you to build and demonstrate an AI-assisted solution.

Ready to explore what's possible?

See what AI can do for your software development team →

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