What’s inside the guide
Developers have moved into AI IDEs. 73% of engineering teams now use AI coding tools daily, up from 41% a year earlier. Enterprise iPaaS was built for a world where developers came to the platform to do integration work, and that world is gone.
Headless iPaaS puts the full integration platform inside the AI IDE, so developers build integrations, automations, and MCP services without leaving the environment where they already work.
This guide breaks down what a genuinely headless iPaaS has to do, the seven capabilities that separate a native experience from a bolted-on endpoint, and the one architectural claim you can verify yourself before you commit to any vendor.
How this guide helps
- See why headless is now the critical layer: Understand how the pace of AI-assisted development changed where integration work has to happen, and what it costs when your iPaaS isn’t there.
- Separate first-class from retrofitted: Learn the seven capabilities that distinguish a platform built for the IDE era from one bolting an endpoint onto old architecture.
- Verify the one claim you can check yourself: See how plugin architecture, thin versus fat, exposes a platform’s real design decisions before you commit — no demo required.
- Evaluate with the right questions: Get a question-by-question framework for pressure-testing any headless iPaaS claim, with the specific answer to look for in each case.
- Understand what migration actually takes now: See how moving off a legacy platform can start as a workflow migration from the IDE developers already work in.
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