This week, we start with a featured article on decoding API complexity through full-spectrum specification intelligence. The author points out potential issues we need to address, from Semantic Blindness, Architectural Drift, Performance Degradation, and Engineering Sovereign - all leading to a clear understanding of your API.
We also have a deep-dive into a tier-1 bank developer portal, pointing out things that you may have forgotten when standing up and maintaining your own portal. Plus, we look at an internal API platform and why they are needed (I spend most of my time in internal API platforms as well). Of course, we have several items related to MCP tools and APIs, from schema bloat to registries and Google's push for gRPC as an additional protocol support beyond JSON RPC.
Finally, we look at API sprawl, why it is good to be API-first, Amazon's Ads MCP server, the story of Heroku (which went into maintenance mode this week), and 5 things that can cause high latency for your APIs.
-- Happy Reading!
Featured Articles
Decoding API Complexity: A Technical Deep Dive into Full-Spectrum Specification Intelligence
It was a Tuesday afternoon when I tried to load a 15MB OpenAPI specification into a widely used,... [dev.to]
Diagnostic Assessment of a Tier-1 Bank's Developer Portal
Beyond the Best Practice Checklist: Diagnostic Assessment of a Tier-1 Bank's Developer Portal How do I get a better developer portal? [pronovix.com]
What Is An Internal API Platform?
What an internal API platform is, examples, why organizations adopt one, and the benefits and trade-offs for scaling internal APIs. by J Simpson [nordicapis.com]
MCP Tool Schema Bloat: The Hidden Token Tax (and How to Fix It)
Your MCP tool descriptions are eating your context window. Learn about the token efficiency problem and solutions emerging at server, protocol, and host layers. [layered.dev]
7 Benefits of a Centralized MCP Tool Registry
Learn the benefits of a centralized MCP tool registry, from faster tool discovery to stronger governance, and better agentic workflows. by J Simpson [nordicapis.com]
Google Pushes for gRPC Support in Model Context Protocol
Google Cloud is bridging a critical gap for enterprises by introducing a gRPC transport package for the Model Context Protocol (MCP), enhancing integration for businesses already using gRPC. This game-changer reduces development friction, ensuring AI agents seamlessly connect with existing services while boosting performance and efficiency. Join the evolving landscape of AI integration! [infoq.com]
Upgrade Your API Design with AI
"Rushing to code" with GenAI creates technical debt. To build production-grade APIs, you need a structured approach. James Higginbotham (LaunchAny) joins us to demonstrate the ADDR process: a methodology that turns LLMs into "API Design Coaches". You will learn to cut design time by 60% while delivering high-quality, business-aligned, and AI-ready APIs. [maven.com]
Business of APIs
How API Sprawl Cripples Your AI Strategy (and How to Fix It)
API sprawl undermines AI strategy by breaking discovery, security, and reliability. Learn how governance and discovery help fix it. by Adriano Mota [nordicapis.com]
Why It's Good to Be API-First in the AI Era
Why API-first design improves AI readiness, agentic workflows, security, and scalability in the modern AI era. by Kristopher Sandoval [nordicapis.com]
Introducing the Amazon Ads MCP Server
Amazon Ads has announced the Amazon Ads MCP Server is now in open beta. Learn how the new tool can reduce advertising workflow complexities. [share.google]
(Un)Related
The Story of Heroku
Heroku made it easy for any developer to build and run applications in the cloud without managing their own infrastructure. Now 15 years later, it continues to inspire the next generation of developers. [leerob.com]
5 Things That Cause High Latency in Your APIs (and How to Fix Them)
Learn the most common causes of high API latency and practical techniques to improve API performance, responsiveness, and user experience. by Janet Wagner [nordicapis.com]
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