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Vestige - AI Diff Review

Vestige - AI Diff Review

Vestige

|
7 installs
| (1) | Free
Feature-level code visualization for LLM-assisted review: call graphs and file dependency graphs, inside VS Code.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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Vestige

Understand this change and what it will break, so you can push it with confidence.

Vestige breaking a large diff into reviewable pieces

Vestige makes AI-generated diffs reviewable before they're pushed. When an LLM changes a lot of code at once, Vestige answers three questions fast:

  1. Where do I start? — entry points and a guided reading order for the change.
  2. What could this affect? — the blast radius: everything the change can reach or break.
  3. What did this code do before? — the surrounding context, without re-deriving it.

How a review works

  1. Open a folder. Vestige scans and parses it locally — no LLM calls — to build a call graph and a file-dependency graph.
  2. Read the graphs. Click the Vestige icon in the activity bar, or run Vestige: Open Graph, for two tabs on one panel: Repo Graph (function calls) and Feature (feature clusters). Click any node to jump to that code.
  3. Get notified when something changes outside your own typing — an AI agent, a git pull, a bulk edit. Vestige detects it and offers to open the Splash Zone, or opens it automatically if you've turned on vestige.splashZone.autoOpen.
  4. Review in the Splash Zone. The change is broken into an ordered set of review cards, each with its own blast radius, an inline or split diff, an LLM-generated one-line summary, an Explain action for deeper context, and accept/revert controls.

New to Vestige? Run Vestige: Getting Started for a six-step walkthrough (map your project, choose your AI model, read the graphs, review a change, judge the blast radius, explain & decide) that links straight to the relevant commands.

Requirements & AI setup

Vestige's local parsing, graphs, and blast radius work the moment you open a folder — no setup, no account. Its AI features (snippet explanations, change summaries, feature-cluster names) need a language model, and there are two ways to give it one:

Pathway Setup Best for
GitHub Copilot None — Vestige uses VS Code's built-in Language Model API automatically. VS Code with an active Copilot subscription.
Your own API key Run Vestige: Set LLM API Key and paste an Anthropic, OpenAI, or Gemini key. Cursor (no vscode.lm), or VS Code without Copilot.

vestige.llm.source controls which pathway is used: auto (default) prefers Copilot and falls back to your key automatically once its quota runs out; vscode or apiKey pin one pathway. Switch anytime with Vestige: Choose LLM Source, or by clicking the LLM status-bar item. Keys are stored per-provider in VS Code's SecretStorage, never in settings files.

Design principles

  • Impact analysis is computed, not guessed. Blast radius comes from the parsed call/dependency graph — deterministic and local, never an LLM hallucinating what a change touches.
  • The LLM only labels and summarizes. Snippet explanations, change-review summaries, and feature-cluster names are generated text on top of the analysis; they never decide what's affected.
  • Analyses are cached. Re-opening a graph or a review doesn't re-run or re-bill work that's already been done.

Data & privacy

Call-graph, dependency-graph, and blast-radius analysis run 100% locally — nothing about your code's structure leaves your machine for these. There is no Vestige backend or license key involved in any AI feature.

Three features send code to whichever LLM pathway you've configured (Copilot, via VS Code, or your own Anthropic/OpenAI/Gemini key, sent directly to that provider):

  • Explain Selection sends the selected code snippet.
  • Change-review summaries (the one-line summaries on Splash Zone cards) send the changed-code snippets for that chunk.
  • Feature-cluster analysis sends pre-computed summaries of your code, not raw source.

Nothing is sent unless you use one of these features, and it only goes to the provider you've chosen. There is no telemetry and no analytics.

Vestige: Send Feedback is the one exception: if you submit it, your message (and any attachments you add) go to Vestige's feedback endpoint — never your code.

Settings

Setting Default Description
vestige.llm.source auto auto prefers Copilot and falls back to your API key; vscode or apiKey pin one pathway.
vestige.llm.provider anthropic Provider for the API-key pathway: anthropic, openai, or gemini.
vestige.llm.model (empty) Model id override. Leave empty for the provider's default.
vestige.splashZone.autoOpen false Automatically open the Splash Zone when an external change is detected, instead of showing a notification.
vestige.ignore.folders [] Extra folder/file names to skip when scanning, on top of the built-in defaults.
vestige.ignore.unignore [] Built-in default ignore names to scan anyway.

First-launch limitations

  • TypeScript/JavaScript, Python, Go, and Java are supported. The parsers ship with the extension (tree-sitter compiled to WebAssembly), so nothing to install — open a folder in any of these languages and the graphs, blast radius, and reviews work the same. Other file types are treated as plain dependency-graph nodes.
  • Single-root workspaces only. Vestige scans the first folder in your workspace.
  • Re-parsing on file change isn't incremental at the AST level yet. Fine for small/medium repos; large monorepos will feel the rescan.
  • Feature View's feature map is a whole-repo analysis, generated on demand and cached, not something that updates live.
  • This is an early release. Expect rough edges, and remember the blast radius is only as good as the static call graph — dynamic dispatch and reflection can escape it.

Commands

Command Description
Vestige: Open Graph Open the graph panel (last-used tab).
Vestige: New Graph Tab Open an additional graph panel tab.
Vestige: Show Repo Graph Open the call-graph tab.
Vestige: Show Feature View Open the feature-cluster tab.
Vestige: Explain Selection Explain the selected code (sends the snippet to your configured LLM pathway).
Vestige: Open Splash Zone Open the external-change review panel.
Vestige: Rescan Workspace Force a fresh local scan/parse.
Vestige: Clear Cache Clear cached analysis/explanations.
Vestige: Getting Started Open the walkthrough.
Vestige: Choose LLM Source Pick between Copilot, your API key, or auto.
Vestige: Set LLM API Key Store an Anthropic/OpenAI/Gemini key for the API-key pathway.
Vestige: Clear LLM API Key Remove a stored provider key.
Vestige: Manage LLM API Keys View, change, or remove stored provider keys.
Vestige: Send Feedback Send a bug report or feature request, with up to three attachments.

Feedback

Run Vestige: Send Feedback to report a bug or request a feature, straight from the editor — pick a type, write a message, optionally leave an email for follow-up, and attach up to three screenshots or screen recordings. Nothing about your code is included.

v0.2.0 — local-first AI: Copilot or your own API key, no Vestige backend or license required.

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