TravisGosselin

Modern HTTP APIs power today’s connected world, acting as the core interface not only for developers, but also for the ever-growing ecosystem of machines, services, and now AI agents. As every organization is increasingly expected to produce and consume APIs at scale, the ability to design, build, deploy, and operate consistent, high-quality APIs has become a key competitive differentiator. With AI accelerating the need for composable, well-structured, and discoverable interfaces, API maturity is no longer optional—it’s essential. However, building and scaling effective API Design First practices across an enterprise is still fraught with manual processes, inconsistent standards, and slow governance models. To succeed, organizations must reimagine API Governance as a strategic enabler—one that prioritizes collaboration, stewardship, and automation.

Sharing code and internal libraries across your distributed microservice ecosystem feels like a recipe for disaster! After all, you have always been told and likely witnessed how this type of coupling can add a lot of friction to a world that is built for high velocity. But I'm also willing to bet you have experienced the opposite side effects of dealing with dozens of services that have had the same chunks of code copied and pasted over and over again, and now you need to make a standardized, simple header change to all services across your platform; talk about tedious, frictional, errorprone work that you probably will not do! Using a variety of codesharing processes and techniques like inner sourcing, module design, automated updates, and service templates, reusing code in your organization can be built as an asset rather than a liability.

In an era where digital transformation and AI adoption are accelerating across every industry, the need for consistent, scalable, and robust APIs has never been more critical. AI-powered tools—whether generating code, creating documentation, or integrating services—rely heavily on clean, well-structured API specifications to function effectively. As teams grow and the number of APIs multiplies, maintaining design consistency becomes a foundational requirement not just for human developers, but also for enabling reliable, intelligent automation. This session explores how linting and reusable models can help teams meet that challenge at scale.

In the fast-moving world of API development, the right tools can make all the difference—especially in the age of AI. As automation accelerates and complexity grows, it’s never been more important to equip your teams with tools that support clarity, consistency, and velocity. This session explores a curated set of essential tools that every API practitioner should know—spanning the entire API lifecycle. From design and development to governance, documentation, and collaboration, we’ll highlight solutions that boost productivity and support scalable, AI-ready API practices. Whether you're refining your stack or starting from scratch, this toolkit will help you deliver better APIs, faster.