I made a heatmap diff viewer for code reviews
Developer Utilities
I made a heatmap diff viewer for code reviews
0github.com is a pull request viewer that color-codes every diff line/token by how much human attention it probably needs. Unlike PR-review bots, we try to flag not just by "is it a bug?" but by "is it worth a second look?" (examples: hard-coded secret, weird crypto mode, gn
What is I made a heatmap diff viewer for code reviews?
0github.com is an open-source pull request viewer that uses heatmap visualization to highlight code changes requiring attention during reviews. Rather than flagging potential bugs alone, the tool identifies lines and tokens worthy of closer examination based on complexity, risk, and context—such as hardcoded secrets, unusual cryptographic configurations, or other patterns that merit human scrutiny. The viewer color-codes every diff element to create a visual priority system, helping reviewers quickly identify high-risk or complex changes within large pull requests. This approach aims to make code review more efficient by directing focus where it matters most. Designed for developers and development teams, the tool integrates with GitHub to provide an alternative viewing experience for pull requests. By shifting focus from binary bug detection to nuanced assessment of what deserves attention, 0github.com addresses a common challenge in code review workflows: processing large diffs while ensuring critical changes receive adequate consideration. The project is available as open source, making it accessible to teams looking to implement intelligent code review tooling without licensing constraints.
Key Features
- Color-coded diff visualization that prioritizes lines requiring human attention
- Intelligent flagging system that identifies issues beyond simple bugs
- Token-level analysis to highlight risky patterns like hardcoded secrets and unusual crypto modes
- Pull request viewer optimized for efficient code review workflows
- Human-focused attention scoring to reduce review time and improve code quality
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