Altisource Achieves 25% Productivity Increase with Amazon Q Developer
Discover how Altisource leveraged Amazon Q Developer to boost developer productivity and streamline application development, achieving remarkable results in the competitive real estate technology landscape.
Key Facts
- Altisource's 25% productivity boost highlights the impact of AI on software development efficiency.
- Modernizing 350,000 lines of code in 4 months reveals significant operational agility and speed.
- A 54% drop in code vulnerabilities indicates enhanced quality control and reduced technical debt.
- Increased Scrum story points from 160 to 200 shows improved team performance and project throughput.
- Adoption of AI-DLC suggests a strategic shift towards integrated, context-aware development practices.
Summary
Summary
Altisource, a provider of real estate and mortgage solutions, faced challenges in modernizing its legacy systems to meet growing demand. By implementing Amazon Q Developer, the company modernized over 350,000 lines of Java code, resulting in a 25% increase in developer productivity and the delivery of four new applications in just four months.
Background
Altisource operates in the real estate technology sector, offering a suite of tools for property management, loan origination, and asset management. Prior to the deployment of Amazon Q Developer, the company relied on complex, decade-old enterprise applications that hindered its ability to innovate and respond to market demands.
Challenge
The primary challenge was the need to modernize software delivery and update existing applications efficiently. Altisource's development teams were burdened by lengthy release cycles, taking 9–12 months to introduce new features, while also managing maintenance and static scan findings.
Solution
Altisource integrated Amazon Q Developer into its AWS environment, leveraging generative AI to enhance its development processes. The company conducted Immersion Day workshops with AWS to establish best practices and build confidence in using the tool. As adoption grew, developers began refactoring functions and utilizing code generation capabilities. The implementation of an AI-driven development lifecycle (AI-DLC) allowed Amazon Q Developer to access codebases and project information, enabling context-aware development.
Results
The deployment of Amazon Q Developer led to a 25% increase in developer productivity. The average Scrum story point completion for software engineers rose from around 160 to 200 points over three months. Additionally, Altisource modernized over 350,000 lines of legacy code and delivered four new applications within four months. Code vulnerabilities decreased by 54%, and teams achieved large-scale modernizations with zero downtime.
Key Insights
Organizations can significantly enhance productivity and code quality by integrating generative AI into their development processes. Establishing a supportive framework for adoption, such as workshops and an AI-driven lifecycle, can facilitate smoother transitions to new technologies.
Customer Testimonial
“I’ve never been more excited in my 30-plus years in this industry—Amazon Q Developer isn’t just accelerating development; it’s changing mindsets.”
— Richard Hanagan, Vice President, Head of Cloud Product Development, Altisource
Frequently Asked Questions
How did Altisource improve developer productivity?
Altisource increased developer productivity by 25% by integrating Amazon Q Developer into their workflow. This generative AI tool helped modernize over 350,000 lines of legacy code and enabled faster application delivery.
What challenges did Altisource face before implementing Amazon Q Developer?
Altisource struggled with rising demand in the real estate market while managing complex legacy systems. Updates to existing applications took 9–12 months, hindering their ability to deliver new features quickly.
What specific benefits did Altisource experience after adopting Amazon Q Developer?
After adopting Amazon Q Developer, Altisource delivered four new applications in just four months and improved code quality, reducing code vulnerabilities by 54%. This also led to a significant increase in their Scrum story point average.
How did Altisource facilitate the adoption of Amazon Q Developer among its teams?
Altisource organized Immersion Day workshops with AWS to validate their implementation approach and build confidence in using Amazon Q Developer. These sessions provided best practices and supported teams in effectively integrating the tool into their development processes.
What impact did Amazon Q Developer have on Altisource's development mindset?
Amazon Q Developer transformed Altisource's development mindset by automating key processes and providing context-aware support. This shift not only accelerated development but also encouraged a more innovative approach among developers.