In the first entry of this series, I discussed Amp: an opinionated AI that integrates naturally into real developer workflows. This time, I want to highlight a tool that solves a specific but painful problem when working with AI coding agents: reviewing plans efficiently.

Meet Plannotator.

The Pain: Reviewing AI Plans in the Terminal

If you use Claude Code or OpenCode, this will feel familiar:

• The agent prints a long plan in the terminal

• You’re asked to approve or reject it

• Giving precise feedback means retyping the context manually

• Referencing exact sections is awkward

• Collaboration is basically nonexistent

This workflow technically works, but it doesn’t scale, especially when you’re running multiple agents in parallel.

What Plannotator Does Exceptionally Well

Plannotator moves plan review out of the terminal and into a focused, visual interface.

Instead of replying with paragraphs of text, you can:

• Select exact parts of a plan

• Mark them for deletion

• Add comments, image

• Suggest replacements

Feedback becomes precise, contextual, and fast: much closer to reviewing a pull request than chatting with a bot.

Designed for Parallel Agent Work

This is what sold me. When one agent finishes generating a plan, Plannotator automatically opens the browser for review. While another agent is still running, you can:

• Review and approve a plan immediately

• Send feedback without blocking other work

• Continue coding while agents run in parallel

• Stop polling terminals just to see who’s done

It fits naturally into real-world, parallel workflows.

Local-First, Zero-Cost, No Trust Issues

Plannotator is refreshingly developer-centric:

• Runs entirely locally

• No backend

• No network requests

• No accounts

• No hidden cost model

Plans never leave your machine. Even sharing works without infrastructure, plans, and annotations is compressed directly into the URL. No database. No third parties.

How It Works

When your AI agent finishes planning, Plannotator:

1. Opens the Plannotator UI in your browser

2. Lets you annotate the plan visually (delete, insert, replace, comment—even on images)

3. Approve → the agent proceeds with implementation

4. Request changes → annotations are sent back as structured feedback

No manual copying. No context loss.

Check it out: https://plannotator.ai/

If you’re serious about AI-assisted development, especially with Claude Code or OpenCode, Plannotator is one of those small tools that quietly make your workflow much better.