We helped our Client establish an agentic AI Development Life Cycle powered by Claude Code and Claude Cowork, enabling a four-person team to deliver approximately 100 unique features per month while maintaining engineering quality standards.
Knowledge as a Service, Inc. was investing in the next generation of its Ringorang platform and needed to accelerate product development to support its roadmap and future growth. Given that, the Client was looking for a way to increase delivery capacity without proportionally increasing team size or compromising quality and security.
Using Anthropic Claude Code and Claude Cowork as the foundation, we helped the Client establish a repeatable software delivery model with 12 specialized AI agents and 40 supporting skills that span planning, development, validation, and release management. Our team continues to support the development of the Ringorang platform, leveraging Agentic AI DLC to deliver about 400 unique features in just four months while maintaining test coverage above 75%.
The Client needed a way to coordinate product planning, software engineering, quality assurance, and security validation within a single delivery workflow. To address this requirement, we designed an agentic AI Development Life Cycle powered by Anthropic Claude Code and Claude Cowork that connected these activities through specialized agents and automated hand-offs.
The new architecture extended AI involvement beyond code generation into product planning, implementation, testing, review, and security validation. By connecting product and engineering workflows through specialized agents and automated hand-offs, we helped the Client establish a repeatable delivery framework for the ongoing development of the Ringorang platform.
A key requirement was ensuring that increased delivery capacity did not come at the expense of engineering oversight. Rather than treating quality assurance as a separate phase, we embedded validation directly into the delivery workflow.
This governance model allowed the Client to take advantage of autonomous AI workflows while maintaining visibility, control, and quality throughout the delivery process.
Robert Feeney
Chief Vision Officer, Co-founder
Ringorang
I was nervous when our dev team went all-in on Claude for Ringorang 4.0. Four weeks later, the results were so exceptional I committed our entire company to Claude.
