docs(exploration): unifying plugins, labs, AI, and the editor (0194) - #144
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…193/0194) (#201) The `changelog-section` required check was only added in #164, so the 0192/0193/0194 feature batch merged before it never got changelog entries. This backfills the 12 user-facing features that were missing, each dated to its merge day with its PR number and contributors: | PR | Entry | |----|-------| | #138 | A safer foundation for plugins | | #145 | One trust model across plugins and Labs | | #146 | Reliability you can see for managed hubs | | #148 | Drive your own coding agent from xNet | | #149 | AI that can act on your workspace | | #150 | Your Labs become AI tools | | #152 | Your agent can use your workspace | | #154 | AI edits, right inside the editor | | #155 | An agentic dev loop in your terminal | | #158 | Review AI edits before they apply | | #159 | Kick off agentic code tasks from xNet | | #162 | Plugins run on the Labs runtime | Skipped: PRs already covered by umbrella entries (#142 plugin ecosystem, #144 extensibility fabric, #147 automated changelog, #163 agent panel, #180 changelog gallery), internal-only changes (#139 schema authz — zero user-facing effect), and meta/test/docs PRs. 🤖 Generated with [Claude Code](https://claude.com/claude-code)
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Exploration 0194 — The Extensibility Fabric: how to make plugins, the marketplace, labs, the editor, and AI even better by converging the four siloed extensibility systems into one fabric.
Thesis
xNet has every primitive (editor extensibility, labs runtime, AI generation/surface/MCP, the 0192 marketplace platform) but they're siloed — and there's literal duplication (the 0192
plugins/ecosystem/provenance-trust.tsis a byte-for-byte mirror oflabs/trust.ts). The win is convergence, not construction.Four-phase recommendation
@xnetjs/trust(kill the duplication); make the labs runtime ladder the plugin execution engine (plugins gain Python/server tiers, one security audit).AiSurfaceServiceinto TipTap:/aislash command, selection rewrite, AI blocks, over the existing mutation-plan + approval machinery.blocks/propertyHandlers; add amentionProviderscontribution (extensible[[/#/@); semantic search + AI recommendations (@xnetjs/vectors).Every new pathway inherits 0192's capability/consent/provenance substrate — security is reused, not rebuilt.
Grounded in real file paths across
packages/{plugins,labs,editor}and 2026 prior art (MCP as the universal composable layer; AI-first-class à la Cursor/Copilot/Claude Code). 7 mermaid diagrams, example code per phase, and implementation/validation checklists.🤖 Generated with Claude Code