The feature works. But does it belong?

In CodeRabbit’s Founder to Founder discussion, TRM Labs CTO Rahul Raina and CodeRabbit CEO Harjot Gill examined how AI agents are accelerating software development while increasing the importance of product judgment, validation, and cross-functional collaboration. Both leaders emphasized that rapidly generated pull requests do not replace decisions about whether a feature is valuable, well-designed, and aligned with broader product strategy; TRM addresses this through its “product cortex,” which combines customer feedback, design systems, strategic priorities, prototypes, and requirements before implementation. They described maintaining human oversight for customer-facing and security-sensitive changes while expanding automated testing and evidence generation so agent-produced work can be validated efficiently. AI tools are also enabling product managers, designers, and potentially marketers to contribute more directly to code and feature delivery, although engineers retain responsibility for technical architecture, scalability, and interface consistency. As output rises, companies must also strengthen build, deployment, caching, and review infrastructure, while staying close to customers to identify the most worthwhile problems to solve.

No tracked trend matches for this post yet.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.