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code-stroll

v0.1.1

Published

Interactive code review learning sessions for opencode

Downloads

244

Readme

code-stroll

Interactive code review learning mode for opencode.

What it does

Turns code review into a learning session. Presents diff changes grouped semantically, one chunk at a time, with Q&A and proactive explanations.

Requirements

Installation

  1. Add the plugin to your project's opencode.json:
{
  "plugin": ["code-stroll"]
}
  1. Install the slash command and review agent:
npx code-stroll init

This copies the command and agent files into your project's .opencode/ directory. The plugin itself is installed automatically by opencode at startup.

Verify installation

After installing, check that the files are in place:

your-project/
  opencode.json                        ← plugin registered here
  .opencode/
    commands/
      code-stroll.md     ← slash command entry point
    agents/
      review-agent.md    ← conversational review agent

Usage

/code-stroll                          # review current branch vs main
/code-stroll --depth skim             # flag concerns only
/code-stroll --focus auth,api         # only review these directories
/code-stroll --base develop           # diff against develop instead of main
/code-stroll --resume                 # continue previous session

Depth modes

  • deep (default): Explains architectural rationale, notes patterns and alternatives.
  • skim: Flags high-severity concerns only (security issues, missing error handling). Keeps explanations under 3 sentences.

Session controls

During a review session, use these signals to advance:

  • next, continue, move on — advance to next chunk
  • skip — skip current chunk
  • done — end session early

Ask questions at any point — the review agent will answer before moving on.

Resume

Sessions are persisted to .opencode/review-session.json. Use --resume to pick up where you left off.

How it works

  1. Plugin creates an isolated git worktree for the branch under review
  2. Runs git diff between the branch and base
  3. LLM pre-analysis groups diff hunks semantically (falls back to file-based grouping on error)
  4. Groups are presented one at a time with concerns flagged
  5. Review agent opens Q&A for each group
  6. Session state is saved after each chunk advance

Design

See docs/plans/2026-03-01-code-stroll-design.md for full architecture.