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Claude Code Ultraplan: The Peak of Agentic Coding Where AI Plans and Executes on Its Own

The way we write code is changing again.

In April 2026, Anthropic launched Ultraplan for Claude Code. This goes far beyond code autocomplete β€” AI spins up multiple sub-agents in the cloud simultaneously to design a plan, then you choose whether to execute that plan in your terminal or directly in the cloud. The shift is from "getting AI to write code" to "designing systems with AI."

As an EdTech CEO who uses this daily, let me be direct: this is not just a feature update.


Table of Contents

  1. What Is Ultraplan?
  2. Three Plan Modes: Simple, Visual, and Deep
  3. The Monitor Tool and Real-Time Agent Tracking
  4. From Vibe Coding to Agentic Engineering
  5. Why Educators and Creators Should Care About Claude Code

1. What Is Ultraplan?

"Command in terminal β†’ parallel design in cloud β†’ execute anywhere"

The old Claude Code Plan Mode generated plans sequentially on your local machine. Ultraplan is different. When you type /ultraplan, the task is sent to Anthropic's cloud and multiple sub-agents simultaneously explore different approaches.

When the plan is complete, you have two options:

  • Cloud execution: Approve the plan in your browser and Claude implements it in the same cloud session, opening a pull request
  • Local execution (Teleport): Pull the plan back to your terminal and run it in your own environment

Claude Code Ultraplan Workflow

The core insight here is the separation of the planning phase from the execution phase. Planning benefits from powerful parallel cloud processing; execution happens in whatever environment fits your project. That flexibility is Ultraplan's real value.


2. Three Plan Modes: Simple, Visual, and Deep

Ultraplan isn't a single system. Internally, three variants are dynamically assigned.

ModeCharacteristicsBest For
Simple PlanSimilar to existing Plan Mode but with cloud speedClear requirements, quick tasks
Visual PlanIncludes Mermaid/ASCII diagrams for structureComplex dependencies, architecture explanations
Deep PlanSub-agents run risk assessment and architecture review in parallelLarge refactors, security-sensitive changes

Visual Plan shows dependency order, data flow, and overall shape of a change as a diagram β€” invaluable when reviewing code with team members who aren't familiar with the codebase.

Deep Plan has one agent exploring implementation approaches while another simultaneously asks: "Is this safe from a security perspective?" and "Does this conflict with existing APIs?" It's an AI that has internalized the human code review process.


3. The Monitor Tool and Real-Time Agent Tracking

The Monitor tool, released alongside Ultraplan, is equally worth noting.

Previously, when an agent ran in the background, you had to wait for a final result. Monitor streams background process events directly into your conversation in real time. Claude can watch logs as they flow and course-correct immediately.

# Example: Monitor build logs and auto-fix failures
/loop 5m check build status and fix failures automatically

The /loop command has also improved: omit the interval and it auto-paces based on task completion time. Useful for monitoring CI/CD pipelines and tracking post-deployment state.

"The ability to plan and watch execution simultaneously β€” that's what the Ultraplan + Monitor combination is really about."


4. From Vibe Coding to Agentic Engineering

In 2026, "vibe coding" has gone mainstream. 92% of US developers use AI coding tools daily, 41% of all code globally is AI-generated, and Y Combinator startups' codebases are 95% AI-generated for 25% of the cohort.

Yet Andrej Karpathy β€” who coined the term β€” declared in February 2026 that "vibe coding is passΓ©." His proposed next step: agentic engineering.

The difference is clear:

  • Vibe coding: Generate code with a prompt; human reviews and fixes
  • Agentic engineering: AI agents autonomously run the plan-execute-verify-fix cycle; humans focus on architecture and direction

Ultraplan is the infrastructure for this transition. Deep Plan β€” where Claude independently assesses risk and designs structure β€” is a practical implementation of agentic engineering.


5. Why Educators and Creators Should Care About Claude Code

Even if coding isn't your primary domain, there's something here for you.

In my EdTech work, I use Claude Code for:

  • Curriculum automation: Managing lesson plan templates as code, with Claude propagating updates across the entire system
  • Data analysis: Python scripts for student feedback data β€” Claude Code handles everything from writing the script to running it
  • Content pipelines: Auto-generating and deploying Markdown-based content like this blog

Ultraplan has significantly accelerated these workflows. Instead of asking "How do I improve this script?", I can now discuss "How should we redesign the entire pipeline?" with AI as a genuine collaborator.


Final Thoughts

Ultraplan marks a leap forward in AI coding tools. Separation of planning from execution, multi-agent parallel design, real-time monitoring β€” combined, these let individual developers operate at team-level velocity.

If vibe coding was "AI writing code," agentic engineering is "designing systems with AI." Claude Code Ultraplan is at the center of that transition.

If you want to try it, start with /ultraplan under the Claude Code Max subscription.


Further Reading

Have you tried Ultraplan? What kind of project do you think it would be most useful for? Let us know in the comments!


Sources

Claude Code Ultraplan: The Peak of Agentic Coding Where AI Plans and Executes on Its Own | MINSSAM.COM