The Shift to Agent-Driven API Consumption | Speakeasy’s Sagar Batchu

Think building killer APIs like Stripe or Twilio is purely a technical feat? Think again.This week, we dive into why crafting successful APIs is fundamentally an organizational challenge, demanding internal excellence long before code is deployed. Sagar Batchu, co-founder and CEO of Speakeasy, joins us to unpack the crucial role of ownership, design principles, and why even internal APIs benefit from treating them like first-class products. Discover how Conway's Law dictates your API's fate and why achieving that coveted developer experience starts with your company's structure.Getting these foundations right is more critical than ever, as the landscape now faces a dramatic shift with the rise of LLMs and agentic AI. This potentially multiplies API usage and introduces the concept of "Agent Experience" (AX), demanding even greater rigor around clear standards, documentation, and metrics like "Time to First 200." Sagar also explores the emerging Model Context Protocol (MCP) and explains why focusing on developer productivity today prepares you for the AI-driven future of tomorrow.Check out:AI Features Demo: The Future of Productivity Is AI-DrivenSurvey: Discover Your AI Collaboration StyleFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Website: speakeasy.comLinkedIn: SpeakeasyX: @speakeasydevReferenced in today's show:It costs nothing to be polite unless you're talking to ChatGPT - then it costs tens of millionsAnnouncing the Agent2Agent Protocol (A2A) - Google Developers Blog A DeeOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

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