This Autonomous Engineer Automatically Fixes Breaking API Changes

Making a single field change to a foundational endpoint can ripple across your entire microservice infrastructure and bring production to its knees. In this walkthrough, learn how to utilize a headless AI agent to act as an autonomous engineer, map out complex downstream impact graphs, modify multi-repository code logic, and handle end-to-end API contract resolution on autopilot. Key Takeaways Impact Analysis: Watch the autonomous engineer query your repository’s dependency graph to trace precisely which microservices consume an updated endpoint. Refactoring Complex Contracts: See how the agent updates the target payload structure (changing id to employee-id) and instantly updates the internal business logic dictionaries. Dependency Synchronization: Observe the AI agent traversing distinct repositories (like a core human resources service and a separate payroll processing service) to dynamically rewrite contracts, fix schemas, and keep tests passing. Video Chapters 0:00 - The Risk of Breaking Changes 0:05 - Identifying the API Target (GET Employee by ID) 0:28 - Defining the Schema Field Update 0:41 - Prompting the Autonomous Engineer via Slack 1:02 - Running Dependency Graph Tracer Analysis 1:41 - Automatic Pull Request Generation & Code Review 2:24 - propagate Downstream Fixes to Dependent Repositories (Payroll) 2:58 - Synchronizing the Source of Truth inside Postman 3:56 - Verifying End-to-End Resolution Success #AIAgents #AutonomousEngineer #APIDevelopment #Postman #SoftwareEngineering #DevTools #ClaudeCode #Microservices