Big Story

API programs often focus heavily on design, launch, and adoption. Far less attention is given to what happens years later, when early versions remain active long after their original purpose has faded. In many enterprises, APIs rarely disappear. They accumulate.

The original intent behind strict backward compatibility is understandable. Breaking client integrations can damage trust and disrupt revenue-generating workflows. As a result, teams avoid removing endpoints, even when newer versions exist. Over time, this leads to multiple active versions of the same API, each requiring documentation, monitoring, and support.

These legacy versions increase operational complexity. Every additional version expands the testing matrix for releases, complicates incident analysis, and widens the net for security vulnerabilities. Authentication flows, rate limits, schema changes, and performance optimizations must often account for historical behaviors that no longer align with current platform standards.

One of the biggest challenges in retiring APIs is uncertainty. Organizations frequently lack clear visibility into who is still consuming older versions. External partners may have embedded integrations deep within production systems.

Internal teams may depend on endpoints created years earlier by different business units. Without reliable usage telemetry, retirement discussions stall because the impact cannot be confidently assessed.

Mature API programs address this by treating retirement as a formal lifecycle stage. This typically includes defined version policies, published deprecation timelines, and minimum support windows. Instead of indefinite backward compatibility, teams communicate clear expectations around how long a version will remain supported and what conditions trigger end-of-life.

Usage telemetry becomes central in this model. Detailed metrics on traffic patterns, consumer identities, and endpoint utilization help determine when a version is safe to sunset. Telemetry also informs targeted outreach, allowing teams to notify specific consumers instead of issuing broad, ambiguous warnings.

Migration incentives are equally important. Clear documentation, SDK updates, compatibility guides, and transitional tooling reduce friction for consumers moving to newer versions. Some organizations go further by introducing quota reductions, performance caps, or restricted feature access on legacy versions to encourage timely upgrades.

Retirement requires coordination across engineering, product, legal, and partner teams. Communication plans, escalation paths, and grace periods are often necessary to avoid disruption. However, without eventual enforcement, retirement policies lose credibility and legacy versions persist indefinitely.

API platforms that scale successfully recognize that stewardship includes exit planning. Just as design and governance shape how APIs are introduced, structured end-of-life strategies determine whether platforms remain adaptable over time. Without deliberate retirement practices, backward compatibility gradually turns from a strength into a constraint.

API Feed

Community Spotlight

Amir Shevatʼs work sits at the intersection of API design, developer ecosystems, and platform growth. Across leadership roles at companies like Twitter, Twitch, Slack, and Google, he has helped shape how APIs evolve from simple integration layers into full developer platforms that drive adoption and product expansion. Rather than focusing only on technical implementation, his contribution has been framing APIs as strategic assets that enable ecosystems, communities, and new business models to emerge around them.

A core theme in his work is that APIs succeed when they reduce friction for developers. Through his writing and product leadership, he has consistently emphasized that APIs are products competing for developer attention. This perspective shifts how teams think about onboarding, documentation, versioning, and developer experience. The strongest API programs, in this view, are those that treat developer adoption as a product metric rather than a purely engineering concern.

Another important contribution is his focus on platform thinking. At companies where he led developer platform initiatives, the challenge was enabling third-party builders to create meaningful extensions on top of core products. That requires clear governance, predictable contracts, and an ecosystem mindset where APIs are designed to support growth beyond internal teams.

His work also reflects the evolution of APIs from infrastructure into community- driven products. Shevat has repeatedly highlighted the role of developer relations and ecosystem building as critical components of platform success. APIs do not scale solely through documentation or tooling. They scale when developers feel confident investing their time and products around them. This idea, that community and platform strategy are inseparable, has shaped how modern API companies approach developer engagement.

Through his books and public talks, particularly around designing web APIs that developers actually enjoy using, he has helped bridge the gap between product thinking and technical design. APIs need clarity, consistency, and strong defaults, because every decision compounds as adoption grows. As AI and automation increase the number of machine consumers interacting with APIs, this focus on predictable design becomes even more important. APIs now need to serve both human developers and automated systems that depend on stable semantics and reliable workflows.

The broader lesson from Shevatʼs contributions is that successful API programs are built through alignment between product, engineering, and community strategy. APIs that thrive over time are the ones that are continuously refined, governed, and supported. For teams trying to move from shipping integrations to building ecosystems, his work provides a clear blueprint.

Resources & Events

apidays Singapore brings together API builders, architects, and platform leaders in one of Asiaʼs biggest fintech and digital transformation hubs, with a strong focus on how APIs are evolving for the AI and agentic era. The program blends practical case studies and technical sessions across API management, security, governance, and automation. Details →

apidays New York is positioned as a high-density gathering for teams operating APIs at scale, with sessions spanning monetization, security, AI-driven automation, and platform governance. Itʼs built for senior practitioners and decision-makers, bringing together 1,500+ participants from 1,000+ companies, making it a strong anchor event for anyone tracking where enterprise API strategy is heading next. Details →

You can find a list of all Apidays events here

Apply to speak at Apidays Singapore, NY, London, Paris, and more here 

API Conference Berlin is part of the international API Conference series focused on Web APIs, API design, API management, and platform governance. The program brings together practitioners, architects, and platform engineers to explore best practices across the full API lifecycle, from secure design and development to governance, performance, and ecosystem planning. Details →

This report examines how API risk is evolving as AI-driven applications, agents, and automated workflows move into production environments. Drawing on real- world attack data from 2025, it highlights how attackers are increasingly targeting APIs that power AI systems, exposing new patterns around automation-driven abuse, business-logic exploitation, and expanding attack surfaces. Read →

Insight of the Week

Role-based access control is becoming a foundational security model for modern API ecosystems as teams need clearer ways to control who can access specific resources and actions across growing systems. As APIs expand across internal teams, partners, and automated agents, structured permission models help reduce risk and simplify governance by aligning access with roles instead of managing permissions user by user, making security easier to scale alongside API growth.

For the Commute

Claire Barrett explores how API investments are justified inside large organizations and why many digital transformation programs fail to deliver expected returns. She distinguishes between direct API outcomes like revenue or efficiency gains and indirect business impacts such as customer satisfaction or growth, warning against evaporating business cases built on assumptions teams cannot control. The session provides a practical framework for aligning API work with measurable, context-specific value across product, engineering, architecture, and API leadership teams.

Stay tuned for bold ideas, fresh perspectives, and the next wave of API innovation

-The Apidays Team

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