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Glossary Term

API Orchestration

By The Codegen Team · Updated March 26, 2026

The coordination layer that manages how multiple APIs communicate, sequence calls, and handle failures in complex workflows.

API orchestration is the coordination layer that manages how multiple APIs communicate, sequence calls, and handle failures in complex workflows. In the context of AI agents, orchestration determines how an agent interacts with multiple services to complete a task.

A well-orchestrated coding workflow might involve reading a task from Jira, fetching the relevant code from GitHub, running tests in a CI environment, and posting results back to Slack. Each step requires a different API, and the orchestration layer manages the sequence, error handling, and data passing between steps.

MCP (Model Context Protocol) is one approach to standardizing this orchestration for AI agents.

In plain English

Coordinating multiple software services so they work together in the right sequence to complete a task — automatically, without someone manually triggering each step.

Why it matters

Modern software is assembled from many services communicating over APIs. Orchestrating them — deciding the sequence, handling errors, passing outputs between steps — is increasingly where engineering complexity lives. AI agents that can participate in this orchestration layer can automate workflows that previously required a developer to babysit each handoff.

In practice

A release pipeline uses API orchestration: a passing CI run triggers a staging deployment, which calls a smoke test suite, which posts results to Slack, which updates the Linear ticket. Before AI orchestration, a developer monitored each step and manually triggered the next one. With an orchestration agent, the whole chain runs unattended and only surfaces when something fails.

How Codegen uses API Orchestration

Codegen acts as an orchestration layer for AI coding agents — coordinating which agent handles which task, sequencing execution, and routing outputs back to the tools where work is tracked. Through MCP, individual agent sessions can trigger external API calls as part of task execution. What Codegen does not replace is your existing orchestration infrastructure — it participates in it, sitting between the task management layer and the code execution layer.

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