openwebf-release-versioning-rollback

Design versioning, cache busting, progressive rollout, and rollback for remote WebF bundles.

Updated Dec 17, 2025
One-click install
npx skills add https://github.com/archview-ai/webf-plugin --skill openwebf-release-versioning-rollback
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openwebf-release-versioning-rollback
Source: https://github.com/archview-ai/webf-plugin/tree/main/webf-plugin/skills/openwebf-release-versioning-rollback
Command: npx skills add https://github.com/archview-ai/webf-plugin --skill openwebf-release-versioning-rollback

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Design versioning, cache busting, progressive rollout, and rollback for remote WebF bundles.

Core Features & Use Cases

  • Define a version scheme and how the host selects versions
  • Implement cache-busting strategy for immutable assets
  • Provide fast rollback and staged rollout plans

Quick Start

Design a versioning and rollback strategy for remote WebF bundles.

Frequently Asked Questions about openwebf-release-versioning-rollback

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a versioning strategy for remote WebF bundles?

Versioning for remote WebF bundles involves defining an explicit version scheme (e.g., vYYYY.MM.DD or semantic versions), using versioned URLs for immutable assets, and implementing path-based cache busting. The host selects versions based on pins, latest requests, or channel-based updates, enabling safe deployments across distributed clients without breaking existing implementations.

What's the best way to implement cache busting for remote bundle deployments?

Cache busting for remote bundles uses versioned URLs for immutable assets paired with conservative entrypoint caching. This prevents stale bundle delivery while allowing rapid updates: clients request versioned assets that never change, while the entrypoint (which directs to specific versions) uses shorter cache windows to propagate new version availability.

How do I perform a fast rollback without breaking connected clients?

Fast rollback relies on maintaining a known-good previous version and implementing a server-side or host-side rollback switch. When issues arise, switch the entrypoint to direct clients to the prior version without re-deployment. Clients requesting the new version are redirected to stable code, minimizing downtime and preventing cascading failures.

Can I deploy remote bundles progressively to reduce rollout risk?

Progressive rollout for remote bundles uses channel or feature-flag controlled deployment with per-version monitoring. Deploy to a subset of hosts or clients first, collect metrics and error signals, then expand gradually. Rollback triggers can halt progression or revert to the previous version if issues are detected during staged deployment.

What deployment scenarios does remote bundle versioning support?

Remote bundle versioning supports pinning to a specific version for stability, requesting the latest version for always-current clients, and channel-based updates for controlled rollout. Each scenario uses the same underlying scheme—versioned URLs and entrypoint switching—allowing hosts and clients to operate at different update cadences across distributed environments.

Why use explicit version schemes instead of implicit rollout for remote bundles?

Explicit version schemes (vYYYY.MM.DD, semantic versions) enable reproducible deployments, clear rollback targets, and auditable version history. They prevent ambiguity in distributed systems where hosts update asynchronously. With explicit versions, you can verify which code each client is running, coordinate multi-host rollbacks, and quickly isolate problems to specific versions.