How developers should read WebP conversion logs, structured reports, exit codes, and per-file errors in local and CI workflows.
Common reasons libvips-based image pipelines fail in CI, and practical ways to reduce risk with clearer installs, smaller scopes, and fallback workflows.
How to design Docker image optimization jobs that avoid fragile native dependency setup while keeping outputs reviewable and repeatable.
How to handle partial failures in batch image conversion jobs without losing successful outputs or publishing incomplete image sets.
How to use GetWebP CLI exit codes in shell scripts and CI pipelines so image conversion failures are handled intentionally.
Use NDJSON image optimization reports in CI to make conversion jobs parseable, auditable, and easier to debug without hiding quality review.
A minimal GitHub Actions workflow for checking WebP conversion outputs in CI without turning image optimization into a risky hidden build step.
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