Tag: Design & Media

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Store the Vector, Render the Raster: Why an SVG Master Beats Committing WebPs

Keep one crisp SVG as the source of truth and render a raster only when something needs one. You get sharp images everywhere, tiny files, and a re-skin that costs one edit - without the social-preview blind spot.

Hero Image Composition: Fill the Frame, Center the Weight, Color by Context

Most weak hero images fail for the same three reasons - and each has a fix you can see the moment you apply it.

The Review Gate: How to Catch AI Image Failures Before They Ship

A diffusion model does not break rules loudly. It breaks them in a corner, at the edge of the frame, where a quick glance slides right past.

How to Drive Antigravity from Claude Code

One AI agent can run another. The trick is a filesystem handshake, a per-run human gate, and knowing exactly which command to type.

AI Image Generation at Scale: The Cost Math and a Two-Track Plan

Putting a unique image on tens of thousands of pages sounds like a rendering problem. It is really a routing and classification problem.

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Many-to-One: Why a Mapping Backlog Outgrows Its Target Taxonomy

You're mapping a messy source vocabulary onto a clean target taxonomy. The target has about 5,600 slots, so the job must be roughly 5,600 decisions — right? The backlog is already past 8,900, and still climbing.

The Fix That Didn’t Take: When a Content-Hash Gate Skips Your Code Change

You shipped a fix to how one field is computed, re-ran the pipeline across everything, and it reported a clean run. Then the consistency check still flags those records as wrong. The fix is in the code, the rebuild "ran" — and the records never changed. Your own optimisation skipped them.

Your Dedup Scan Is Over-Counting — Because It Forgot What You Already Fixed

The report said 80 duplicate groups still to resolve. You'd been resolving them for days. You run it again after a big batch and it *still* says 80-ish. The backlog isn't stubborn — the scan is counting work you already finished.

When Your Skills Folder Is a Deploy Target, Not a Drawer

You hardened a skill in the repo, shipped the PR, and the agent kept loading the old one. Or you fixed the live skill by hand, and the versioned copy quietly stayed behind. Same root cause: the copy you run and the copy you version are two different files.

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