R Systems & Cursor partner to lead AI-first software delivery
As part of the collaboration, R Systems will establish a dedicated Co-Innovation Lab intended to advance AI-first software engineering practices. The Co-Innovation Lab will focus on developing and rolling out a repeatable AI Software Development Lifecycle (AI-SDLC) Framework. This Framework will provide engineers with playbooks that embed AI into coding, testing, documentation, DevOps and project-management workflows.
Over 1,000 engineers at R Systems will be equipped with Cursor-powered workflows as part of efforts to strengthen OptimaAI, the company's proprietary AI suite. According to R Systems, the new AI-SDLC approach is expected to improve delivery velocity by around 30%, reduce defect density by 25%, and halve the time required to onboard new engineers.
Cursor's Head of Field Engineering, Ricky Doar, described the partnership and its intended impact: We are excited by R Systems' enthusiastic adoption and use of Cursor among its thousands of software engineers. R Systems is deploying Cursor to embed AI directly into every stage of software delivery, from planning to coding to review. By equipping each delivery pod with purpose-built AI workflows, they're accelerating development velocity, driving code quality, and standardizing how generative AI is adopted across enterprises globally.
The collaboration is focused on increasing AI adoption and developer productivity while establishing standardised practices for integrating generative AI within software delivery. Both R Systems and Cursor aim to create a scalable model of AI implementation that can be applied not only within the software development lifecycle but also across broader enterprise contexts.
Chirag Jog, Head of Product & Platform Engineering Accelerators & IPs at R Systems, outlined the company's approach to responsible and effective AI deployment: AI has become the engine of modern software development. Our partnership with Cursor equips our engineers with intelligent tools and scalable workflows that accelerate delivery and raise quality. We're deploying a reusable prompt repository and a knowledge base of best practices alongside a Responsible AI-aligned accelerator portfolio to drive trusted, high-impact outcomes for our customers.
The partnership is already seeing its methods tested in the field. Mike Rivers, Chief Technology Officer at Spreedly, commented on R Systems' performance using the AI-powered strategy: We presented R Systems with an ambitious migration timeline. By leveraging an 'AI-first' development strategy powered by Cursor, R Systems' engineers significantly exceeded output expectations while maintaining Spreedly's strict coding standards and delivering scalable, deployment-ready reports. This innovative approach has accelerated our roadmap and set a new standard for what we look for in a technology partner.
Through the Co-Innovation Lab and dedicated AI tools, R Systems states its aim is not only to improve software build processes but also to enhance its clients' outcomes. With more than 1,000 engineers engaged as "AI Champions" and the development of targeted accelerators, the company plans to apply intelligence to all phases of software development.
Cursor is designed as an AI-powered coding environment intended to help developers build software more quickly, automate repetitive tasks, and maintain code quality. The platform incorporates advanced code generation and governance features to provide control over security and compliance with standards. Companies using Cursor include Adobe, Nvidia and Rippling.
Spreedly provides an open payments platform with annual processing volumes reported at over USD $50 billion in more than 100 countries, serving large enterprise clients across diverse sectors.
R Systems delivers product engineering and digital solutions across technology and SaaS platforms, with a focus on automation and AI-driven approaches for enhanced productivity and customer experience. The collaboration with Cursor represents a further step in the company's efforts to embed AI throughout its technical and client service operations.
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