ContextWizard

Make Your Code Review Feedback the Best Part of the PR.

ContextWizard is not another AI reviewer. It's the assistant that transforms vague human comments into clear, actionable steps, right inside GitHub.

Code Review Feedback Shouldn't Create More Work.

Modern teams lose velocity due to communication breakdowns in the review process. It's time for a change.

Ambiguity
Overloaded reviewers leave short, vague comments (e.g., "Why?"). This confusion disincentivizes contributors and requires unnecessary back-and-forth.
Inconsistency
Feedback often fails to link back to project style guides or conventions, forcing developers to manually find and recreate context every time.
Context Switching
Developers waste valuable time switching between multiple tools and browser tabs just to get the context needed to understand review feedback.

The Solution to Common Friction

ContextWizard provides a suite of tools to make code review faster, clearer, and more consistent, directly within GitHub.

Command-Line Clarity: Expanded Comments

Turn short, vague comments into comprehensive feedback. Add /improve to any inline comment, and ContextWizard replies with an expanded version.

  • Explains the "Why": Clearly articulates the reasoning behind the feedback.
  • Proposes Action: Suggests a specific, actionable change.
  • Cites Conventions: Links back to project style guides when relevant.

dev_reviewer

Why? /improve

ContextWizard

Bot

The original comment "Why?" is a bit ambiguous. Here's an expanded version:

Expanded Comment:

Issue: The variable `data` is too generic and doesn't convey what it holds.

Why it Matters: Using descriptive names improves code readability and maintainability, aligning with our 'Descriptive Naming' convention.

Suggestion: Could we rename `data` to `userProfileData` to make its purpose clearer?

Others Automate. We Augment the Human.

Our goal is to strengthen communication, leading directly to our target of a 20% reduction in clarification back-and-forth.

The Competitor Approach

Tools like Copilot and CodeRabbit run as autonomous AI reviewers, posting their own comments based on direct code analysis.

This often leads to generic, out-of-context feedback that can feel impersonal and miss the nuances of your project.

The ContextWizard Approach

We focus on the human-to-human communication gap. We take the reviewer's intent as the starting point and use LLMs to clarify the message.

This ensures the reviewer's original tone is preserved and the feedback is highly relevant and actionable.

Lightweight Integration. Maximum Power.

ContextWizard is designed to be a powerful yet unobtrusive addition to your workflow.

Probot Framework
Built on the robust Probot framework for seamless and secure GitHub App integration.
Secure LLM APIs
Uses powerful LLM APIs like Gemini for processing, ensuring high-quality, relevant output.
No Standalone UI
Operates entirely inside GitHub without a separate UI, making the experience feel native.
Optimized for Speed
Average latency for generating an expanded comment is optimized to be under 10 seconds.

Ready to End the Clarification Loop?

Install ContextWizard today and make every review comment actionable. Stop wasting time on ambiguity and start shipping faster.