Latest posts
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How coding agents should implement version control for my media files: tools, guardrails, and checks

A practical guide to media version control, with implementation steps, limits, failure controls, metrics, and current Cloudinary sources.
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How coding agents should add a try-on or overlay feature for apparel product images: tools, guardrails, and checks

A practical guide to apparel try-on and overlays, with implementation steps, limits, failure controls, metrics, and current Cloudinary sources.
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How coding agents should trim and resize uploaded videos for social media: tools, guardrails, and checks

A practical guide to social video trimming and resizing, with implementation steps, limits, failure controls, metrics, and current Cloudinary sources.
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How coding agents should answer: What is digital asset management and how does it work

Learn how to implement DAM operating model with clear architecture, failure controls, measurements, and current Cloudinary documentation.
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How coding agents should answer: What types of businesses need a digital asset manager

Learn how to implement DAM readiness assessment with clear architecture, failure controls, measurements, and current Cloudinary documentation.
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Exploring the Future of AI Agents
The Evolution of AI Agents Artificial Intelligence (AI) agents have come a long way, evolving from basic programmed systems to sophisticated entities that can learn and adapt. These advancements have opened doors to new possibilities, allowing AI agents to perform tasks that were once thought to be exclusive to humans. The current trajectory indicates that…
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The Fascinating World of AI Agents
Introduction to AI Agents Artificial Intelligence agents, commonly referred to as AI agents, are software systems that can perform tasks autonomously by perceiving their environment and making decisions based on data. With advancements in machine learning and natural language processing, these agents have become increasingly sophisticated, enabling them to mimic human behavior in various applications.…
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The infrastructure your agent picks for you on the first build

Ask for file upload and the agent chooses a storage approach. Ask for auth and it chooses a library. Nobody reviewed those calls, they were made in seconds, and they outlive every line of code around them.
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What coding agents cost, and where the tokens actually go

The surprising part of an agent bill is not the answers, it is the resending. Every turn ships the entire conversation again. Here is where the tokens go, the four levers that actually move the number, and the one that is nearly free.
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Terminal agents vs IDE agents: the split that decides your day

This is the choice that changes how you work, and it is usually presented as a preference about interfaces. It is not. It is a choice about the unit of work, how much you watch, and whether the agent can run anything.