backnotprop/plannotator

Annotate and review coding agent plans and code diffs visually, share with your team, send feedback to agents with one click.

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Summary Information

Updated 41 minutes ago
Added to GitGenius on September 1st, 2026
Created on December 28th, 2025
Open Issues & Pull Requests: 163 (+0)
GitHub issues: Enabled
Number of forks: 637
Total Stargazers: 8,537 (+0)
Total Subscribers: 20 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 8.8 hours
Mean response time: 8.9 days
90th percentile: 25.6 days
Tracked items: 447

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 76% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Almost all tracked open issues have seen activity in the last three months. Only 11% of issues opened in the past year have been closed. Three people close 92% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 103
New in 7 days: 18
Closed in 7 days: 12
Avg open age: 48 days
Stale 30+ days: 48
Stale 90+ days: 10

Recent activity

Opened in 7 days: 14
Closed in 7 days: 3
Comments in 7 days: 8
Events in 7 days: 13

Top labels

  • accepted (29)
  • enhancement (27)
  • triage (13)
  • bug (10)
  • fixed (6)
  • good first issue (5)
  • help wanted (3)
  • documentation (2)

Detailed Description

Plannotator is a code review tool that enables visual annotation and collaborative feedback on coding agent plans and code diffs.

The tool addresses the challenge of reviewing and providing feedback on work generated by coding agents. It allows developers to annotate plans and diffs visually, then share these annotated reviews with team members and send feedback back to agents through a single-click interface. This workflow bridges the gap between agent-generated code and human oversight, making it easier to guide agent behavior and catch issues before they propagate.

Teams working with coding agents who need structured code review processes should consider this tool. It suits projects where multiple people need to evaluate agent output and provide coordinated feedback. The visual annotation approach makes it particularly valuable when reviewing complex diffs or multi-step agent plans that benefit from contextual notes and team discussion.

The project shows active development with regular commits across multiple areas of the codebase. Work spans frontend improvements, backend functionality, and integration features, indicating sustained effort to expand capabilities. The maintainers respond to issues and incorporate user feedback into the roadmap. Development activity demonstrates ongoing refinement of both core annotation features and the agent feedback loop.