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AI Gateways Emerge as System Integration Evolves

A curated list of system integration tools and patterns, initially created in 2021, has evolved significantly over five years. The most notable change is the emergence of an AI gateway layer, which addresses familiar API gateway challenges like routing, rate limiting, and cost tracking, but with non-deterministic AI backends. Data movement has also become more complex, with distinct categories for data integration, change data capture, stream processing, and schema registries, reflecting a shift towards continuous data flow and governance. Additionally, webhooks have matured from simple utilities into a distinct product category focused on reliable delivery, and traditional Enterprise Service Buses (ESBs) have been repackaged under new branding. AI

IMPACT Highlights the operationalization of AI models through familiar gateway patterns, suggesting a maturing integration landscape for AI.

RANK_REASON The item is a personal reflection and analysis of changes in the system integration field, based on curated links, rather than a primary announcement or event.

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AI Gateways Emerge as System Integration Evolves

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  1. dev.to — MCP tag TIER_1 English(EN) · Stanislav Deviatov ·

    Five Years of Awesome Integration: What Changed in Our Field

    <p>On 23 July 2021 I pushed the first commit to a repository called Awesome Integration. It was a curated list of system integration software, patterns and resources: 27 flat sections and about 260 links that I did not want to lose in my browser bookmarks.</p> <p>Five years later…