From Integromat to Make: The Evolution of Visual Automation and the Hands-on Guide for 2026

Description and use

<p>A decade ago, connecting two enterprise software applications meant choosing between two painful compromises. On one side, companies were forced to hire software engineers to develop brittle, custom REST API integrations that broke every time an endpoint changed. On the other, early platforms like <a href="https://dev.to/reviews/zapier">Zapier</a> forced a strictly linear paradigm: <em>“If this happens, do that.”</em> As soon as an operational workflow required conditional branching, JSON array manipulation, or batch-processing 100 customer records, legacy tools stalled or demanded exorbita

Problem

<p>A decade ago, connecting two enterprise software applications meant choosing between two painful compromises. On one side, companies were forced to hire software engineers to develop brittle, custom REST API integrations that broke every time an endpoint changed. On the other, early platforms like <a href="https://dev.to/reviews/zapier">Zapier</a> forced a strictly linear paradigm: <em>“If this happens, do that.”</em> As soon as an operational workflow required conditional branching, JSON array manipulation, or batch-processing 100 customer records, legacy tools stalled or demanded exorbita

Outcome

<p>A decade ago, connecting two enterprise software applications meant choosing between two painful compromises. On one side, companies were forced to hire software engineers to develop brittle, custom REST API integrations that broke every time an endpoint changed. On the other, early platforms like <a href="https://dev.to/reviews/zapier">Zapier</a> forced a strictly linear paradigm: <em>“If this happens, do that.”</em> As soon as an operational workflow required conditional branching, JSON array manipulation, or batch-processing 100 customer records, legacy tools stalled or demanded exorbita

Evidence

From Integromat to Make: The Evolution of Visual Automation and the Hands-on Guide for 2026

Source