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WebSharper Code Review

WebSharper Code Review

souvanxay

|
3 installs
| (0) | Free
Offline AI code review for F# and WebSharper
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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WebSharper Code Review

Offline AI code review for F# and WebSharper. Runs locally with your Ollama model (e.g., qwen2.5-coder:7b-instruct). Streams diffs, handles large files safely, and snapshots accepted changes into a private Shadow Git history. Turn on RAG to enrich reviews with built-in references packaged in the extension.

Small file suggestion

Features

  • Selection-based reviews with streamed markdown + diff preview.
  • Default apply scope: whole file: on typical files, suggestions apply to the entire file.
  • Large file safety: for big files (≥ 600 lines), the tool automatically switches to selection-only edits.
  • Shadow Git: accepted suggestions are snapshot-committed to a private repo (your real repo is untouched).
  • Model switching: change your Ollama model from the Command Palette.
  • Preferences: adjust the AI’s coding style to match your own preferences.

Preferences

  • RAG (toggle): when enabled, reviews are enriched with built-in reference material bundled with the extension. If RAG isn't available on your machine, it's skipped automatically—normal reviews still work.
  • RAG status pill (webview): the top bar shows RAG: ON/OFF — click to toggle, then press Refresh to re-run with the new mode.

RAG status pill

Quick Start

  1. Install the extension.

  2. Ensure Ollama service is running locally

    • Start the service:

      ollama serve
      

      By default: http://localhost:11434

    • Verify in your browser: you should see

      Ollama is running
      
  3. Open an .fs file:

    • If you want to scope the change, select code first.
    • Otherwise, the tool will operate on the whole file (for non-large files).
  4. Run:

    • Ctrl+Alt+R, or
    • Right-click → WS Code Review: Show Suggestion.
  5. (Optional) Use the RAG pill in the top bar to turn RAG ON/OFF, then click Refresh to re-run.

  6. Review the streamed suggestion → Accept to apply (and snapshot if Shadow Git is enabled).

Model switcher

Commands

Command What it does
WS Code Review: Show Suggestion Runs review on the current selection or whole file (if no selection & file not large), and shows a streamed diff.
WS Code Review: Change Ollama Model Pick a different local model (e.g., qwen2.5-coder:7b-instruct).
WS Code Review: Set/Show/Clear AI Preferences Manage your coding-style preferences used to steer suggestions.
WS Code Review: Show Shadow Git History (Current File) Browse snapshots made by accepted suggestions.
WS Code Review: Clear Shadow Git History Purge the private snapshot repo.

Editor context menu: shows on right-click in F# when you have a selection. Keybinding: Ctrl+Alt+R (only in F# with selection).

Shadow history

Settings

All settings live under WS Code Review (Workspace Settings):

  • wsCodeReview.git.enable (boolean, default false) Snapshot accepted suggestions into a Shadow Git repo (separate from your real repo).

  • wsCodeReview.rag.enable (boolean, default false) Enrich reviews using built-in references packaged with the extension. You can toggle this in Settings or directly via the webview's RAG ON/OFF pill. If RAG is unavailable, it's skipped automatically.

Preferences (coding style)

Use the Set/Show/Clear AI Preferences commands to tailor suggestions to your style—naming, formatting choices, typical WebSharper idioms, and other reviewer hints. Preferences are applied each time you run Show Suggestion.

RAG: Why enable it?

When RAG is on, the assistant receives concise, relevant built-in reference context before reviewing the selection or file. This often yields:

  • More project-aware suggestions (naming, idioms, WebSharper patterns).
  • Fewer generic rewrites; more precise, domain-specific changes.

Comparison (example):

Without RAG (generic): RAG off

With RAG enabled (context-aware): RAG on

If RAG cannot run in your environment, reviews continue normally without it.

How it works (high level)

  1. Collects selection + file info (or the whole file when no selection on non-large files) → builds a concise review prompt.
  2. Streams the AI response into a diff view (line-by-line).
  3. On Accept, applies the change. If wsCodeReview.git.enable=true, creates a Shadow Git snapshot commit.

Requirements

  • VS Code ≥ 1.99
  • Ollama running locally with a code model (e.g., qwen2.5-coder:7b-instruct)

Privacy

  • No cloud calls by this extension.
  • Ollama runs locally.
  • Shadow Git history is private and separate; you can clear it anytime.

Troubleshooting

  • "Failed to connect to AI" → Start Ollama; ensure the model is installed and available.
  • RAG feels the same → That's fine; for simple snippets, built-in context may not change much.
  • Shadow history not updating → Ensure wsCodeReview.git.enable is on and you accepted a suggestion.

Release Notes

0.0.1

  • Selection-based, streamed suggestions for F# + WebSharper.
  • Shadow Git snapshots (optional).
  • Default whole-file apply for non-large files; selection-only safety for large files (≥ 600 lines).
  • RAG toggle for context-aware reviews.
  • Preferences to tailor the AI’s coding style.

License

See LICENSE.

Third-Party Licenses

This project bundles third-party dependencies whose licenses are listed in THIRD_PARTY_NOTICES.md.

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