3 things you need to read this easter
2026-05-04
3 things you need to read this easter
Hey there! Welcome to Platform Weekly. Your weekly hunt for the platform engineering easter egg Every week, we dive into best practices, news, lessons and updates from the platform engineering community.
3 things you need to read this easter
People can debate whether we are in a golden age of technology, but one thing is certain… the community is in a golden age of research. Thanks to survey data, events, and research interviews with the 270,000 of you - Weave Intelligence and the Platform Engineering Community has been able to publish some awesome research over the last few months.
Community ambassadors write some of the best blogs I’ve read, and every few weeks a new report on the incredible frontier of AI and platform engineering is published. Whether you’ve got a long weekend, or don’t - one thing is universal. You need to read this research.
The great unlock: How platform engineering creates AI-native enterprises. This report breaks down how platform engineering is the missing piece that helps businesses move from scattered AI pilots to real, company-wide AI systems. It covers everything from the architecture (in mega detail) and governance models needed, to a real-world example of how going "AI-native" improved customer experiences and drove new revenue for a hotel use case.
Vulnerability management for platform engineers. This report makes one of the best arguments i’ve read that instead of pushing security onto developers ("shift left🤮"), teams should bake it directly into the platform itself by shifting down, so that secure behavior just happens automatically through hardened images, policy guardrails, and automated fixes. It walks through a practical seven-step roadmap and the key capabilities needed to get there, ultimately making security a background feature rather than a constant drain on our productivity and our souls.
Operationalizing AI coding agents in regulated industries. This report makes the case that AI coding agents, while insanely powerful, introduce serious risks in regulated industries like finance and government that traditional governance approaches weren't designed to handle. It lays out a practical path for operationalizing AI agents safely, keeping humans involved where it matters while letting agents do more within tightly controlled guardrails. Basically? It’s the toolkit you need to actually operationalizing agents without blowing everything up.
Together these reports total almost 60 pages, and 10,000+ words of platform engineering and AI best practice putting together information at the cutting edge of the jagged frontier of AI (with much more soon to come).
The core theme across all? To succeed with AI, you need platform engineering. And the governance, standardisation, and automation that it brings.
Get reading! There is a lot more to come.
Quick bites
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From the community:
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