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Devory.AI

Devory.AI

Devory.AI

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11 installs
| (0) | Free
Repo-aware task, run, doctrine, and review workflow for Devory in VS Code
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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Devory VS Code Extension

The Devory extension turns VS Code into a practical control surface for Devory.

It helps you initialize a workspace, manage tasks, inspect doctrine and skills, run Devory, and review outputs without leaving the editor.

Why It Matters

Devory is not just a chat window for code generation. The extension exposes the actual workflow:

  • task lifecycle
  • doctrine and skill files
  • first-run workspace bootstrap
  • run execution and artifact inspection
  • review actions for supervised delivery

First Run

Open a repository, install the extension, and let Devory check whether the workspace is already initialized.

If it is not, the extension can scaffold it for you. That bootstrap flow works even without a global devory install.

Main Commands

Command Description
Devory: Initialize Workspace Create the Devory workspace structure
Devory: List Tasks Open a task picker grouped by lifecycle stage
Devory: Create Task Add a new task
Devory: Generate Tasks from Idea Open the Task Builder webview, turn one idea into previewable task drafts, then commit selected drafts to backlog
Devory: Move Task Move a task directly to another stage
Devory: Promote Task Move work forward through the lifecycle
Devory: Open Review Queue Jump into review-ready work
Devory: Approve Review Task Approve a review task
Devory: Send Review Task Back Return review work for rework
Devory: Block Review Task Move a review task to blocked
Devory: Requeue Blocked Task Move a blocked task back into the queue
Devory: Archive Task Archive a task outside the normal active lanes
Devory: Enrich Task Add missing structured sections to the active task file
Devory: Add Acceptance Criteria Insert that section only if absent
Devory: Add Verification Steps Insert that section only if absent
Devory: Add Dependencies Insert that section only if absent
Devory: Add Files Likely Affected Insert that section only if absent
Devory: Start Factory Run Execute Devory from the bundled runtime
Devory: Resume Factory Run Resume a failed or paused run
Devory: Pause or Resume Factory Run Request a pause, or resume from the same control point
Devory: Stop Factory Run Request an orderly stop for the active run
Devory: Show Work Open live execution visibility (run state, heartbeat, doing/review focus)
Devory: Inspect Recent Runs Open recent run records from the editor
Devory: Show Routing Outcome Summary Summarize recent routing outcome ledger records in the Devory output channel
Devory: Inspect Artifacts Browse saved execution outputs
Devory: Governance Doctor Check workspace and CLI/runtime readiness
Devory: Connect Cloud Account Start the local cloud-account connection flow
Devory: Create Doctrine File Create a new doctrine file
Devory: Create Skill Scaffold a reusable skill
Devory: Create Agent Scaffold a new agent definition
Devory: Archive Doctrine File Move doctrine into archive storage
Devory: Archive Skill Move an old skill into archive storage
Devory: Show Governance Status Report governance readiness and transport status
Devory: Show Stored Data Locations Explain extension-owned local data versus project data
Devory: Sweep the Workshop Delete only extension-owned local data
Devory: Refresh Task Explorer Refresh task and governance views

Runtime Notes

  • Devory: Start Factory Run uses the packaged local runtime and shows an advisory dry-run/cost estimate summary before launch.
  • Run start now profiles ready tasks, applies routing policy, resolves concrete targets and adapters, and preserves selected versus actual execution metadata in the routing outcome ledger.
  • Devory: Resume Factory Run resumes an existing failed or paused run record.
  • Devory: Pause or Resume Factory Run and Devory: Stop Factory Run write local run-control signals that the active runtime checks between steps.
  • The extension exposes review and lifecycle commands directly, but those commands still operate against the repository state on disk.
  • Devory: Generate Tasks from Idea uses deterministic generation first, previews all generated drafts before any save, then offers post-commit handoff actions.
  • The Task Assistant can also run AI-assisted refinement against the active task, including local Ollama-backed refinement when that target is configured.
  • Devory: Show Work is a visibility/control surface; it does not replace governance command execution by devory worker.

Workspace Shape

The extension works directly against the repo:

  • tasks/ for work
  • runs/ for run records
  • artifacts/ for durable execution output
  • doctrine/ and skills/ for engineering guidance and reuse

Routing Outcome Review

  • Ledger path: artifacts/routing-outcomes/execution-outcomes.jsonl
  • Command: Devory: Show Routing Outcome Summary
  • Truth model: selected provider/target/adapter and actual provider/target/adapter stay separate
  • Cloud behavior: local-first by default; cloud-bound runs can require confirmation depending on routing policy
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