Agent View

The site as an AI agent gets it, beside the site as a person sees it. What it can read, what it has to cut away, and what it never sees.

preset.io100 pages read on October 24, 2026
Full screen
Introducing Claudette CLI: Supercharge Superset Development | Preset
preset.io/blog/introducing-claudette-cli-supercharge-your-apache-superset-development/

ProductPreset Cloud Fully-managed, cloud-hosted…Managed Private Cloud Preset with additi…Preset Certified Superset Deploy QA-appr…Preset Embedded Dashboards Interactive a…Preset API Managing your Preset workspac…AIPreset Chatbot Conversational analytics,…

Image with no words

SUPERSET DEVELOPERS

Introducing Claudette CLI: Supercharge Superset Development

Image with no words

Image with no words

Image with no words

Image with no words

Maxime Beauchemin, Evan Rusackas

The rest of the page is in full screen.

Drawn from the HTML mttr fetched, not a screenshot.
page.md597 words, about 1,210 tokens
SUPERSET DEVELOPERS

# Introducing Claudette CLI: Supercharge Superset Development

Maxime Beauchemin, Evan Rusackas

August 28, 2025

3 min read

481 words

**TL;DR**: Tired of juggling multiple Superset environments and waiting for containers to restart every time you switch branches? Meet Claudette CLI, a tool that lets you run multiple isolated Superset environments simultaneously, built for the AI-assisted development era.

## Overview: See Claudette In Action

## The Problem: Environment Hell

If you've ever worked on Apache Superset development, you know the pain. Switching between feature branches means:

- Rebuilding Docker containers (again)
- Reinstalling npm dependencies (again)
- Dealing with Python virtual environment conflicts
- Port collisions when trying to run multiple instances
- Lost context and broken workflows

In today's AI-assisted development world, where Claude Code and other AI tools can generate code rapidly, these environment bottlenecks have become the new limiting factor. You're no longer waiting for code to be written; you're waiting for environments to spin up.

## The Solution: Claudette CLI

Claudette CLI transforms how you work with Superset by using Git worktrees to create completely isolated development environments for each project or branch. You end up with multiple Superset installations that share the same Git history but run independently.

### Key Features

**🌳 Git Worktree Magic**: Each project gets its own directory with isolated Python virtual environments and node_modules, while sharing the underlying Git repository.

**🐳 Docker Integration**: Run multiple Superset instances on different ports simultaneously—no more container conflicts.

**⚡ Lightning Setup**: New projects spin up in seconds with automatic dependency installation using `uv` for Python packages.

**🧊 Smart Resource Management**: Freeze inactive projects to reclaim ~3GB of disk space per environment, then thaw them instantly when needed.

**🤖 Claude Code Ready**: Built-in integration with Claude Code for seamless AI-assisted development workflows.

**📝 Project Documentation**: Persistent PROJECT.md files that survive branch switching and provide context to AI assistants.

## Quick Start

Getting started takes less than a minute:

```
# Install claudette
pip install git+https://github.com/mistercrunch/claudette-cli.git
# Initialize (clones Superset and sets up base config)
claudette init
# Create your first isolated project
clo add my-feature
# Drop into a Docker container and start coding
clo shell
```

Pro tip: Use `clo` as the shorter alias for all commands!

## Real-World Impact

The benefits become immediately apparent:

- **Parallel Development**: Work on multiple features simultaneously without environment conflicts
- **Zero Context Switching Cost**: Each environment maintains its state—databases, configurations, and dependencies
- **AI-Optimized Workflow**: Spend time coding with AI assistance instead of waiting for environments
- **Resource Efficient**: Freeze unused projects to keep your machine lean

## Perfect For

- **Superset Contributors**: Manage multiple PRs effortlessly
- **Data Teams**: Test features across different branches simultaneously
- **AI-Assisted Developers**: Eliminate environment setup bottlenecks
- **Anyone juggling multiple Superset projects**

## Commands You'll Love

```
clo add feature-x # Create new isolated environment
clo shell # Enter Docker container 
clo docker up # Start services
clo claude code # Launch Claude with project context
clo pytest tests/ # Run tests in isolation
clo freeze old-feature # Save 3GB+ disk space
clo list # See all your projects
```

## Get Started Today

Ready to transform your Superset development workflow?
**➡️ [Get Claudette CLI on GitHub](https://github.com/mistercrunch/claudette-cli)**

The tool is open source and actively maintained. Contributions, feedback, and feature requests are welcome!

All the features of Superset (and more) without the hassles of scaling/managing/upgrading, with plenty of time to grow into it. Free for five users, forever.

---

**Related Reading**

- [How Micro-Corrections Drive AI Success](https://preset.io/blog/how-micro-corrections-drive-ai/): Why intuition and small nudges matter more than perfect prompts
- [Adopting Claude Code: Riding the Software Economics Singularity](https://preset.io/blog/adopting-claude-code-riding-the-software-economics-singularity/): The broader transformation in software development economics
- [How to Contribute to Superset](https://preset.io/blog/how-to-contribute-to-superset/): Getting started as a Superset contributor

## Let's get visual. Try Preset today. [Start for free](https://manage.app.preset.io/starter-registration/)

#### Subscribe to our blog updates

Receive a weekly digest of new blog posts

An agent gets this page whole: its own text is in the HTML the server sends.

The figures

100 pages, set against the 167,893 sites with figures.

See its rivals
Readablehigher is better
94%94 of 100 pages
All 167,893 sitesBetter than 34%

Pages whose own text is in the HTML the server sends, enough of it for their kind.

Cleanhigher is better
91%middle page
All 167,893 sitesBetter than 87%

Of the words before script, the share that are the page and not menus, footer and forms.

Costshown, never scored
309,412tokens
About 3,094 a page

To read every page once. A long page that answers well is not worse for it. Tokens are estimated at about 4 characters each.

How its pages spread on Clean

Its middle, 91%

100 pages measured.

Against its rivals

The sites nearest it by what they do, with figures. Close means similar work, not better.

Readinghigher is betterCostnot scored
SiteReadableCleanTokens a page
preset.ioThis site, 100 pages94%91%3,094
itpathsolutions.com100 pages98%96%6,200
formidable.com100 pages100%95%2,544
expanso.io100 pages100%93%3,248

Fourth of 4 on Readable, fourth on Clean.

AI crawler access

What robots.txt says to each, as read on October 24, 2026. 8 of 8 may read the site.

Open robots.txt
Crawlerrobots.txt saysUsed forThe line that decides
GPTBotOpenAINot namedTraining modelsFalls to User-agent: *
OAI-SearchBotOpenAINot namedChatGPT searchFalls to User-agent: *
ChatGPT-UserOpenAINot namedA page a person asks aboutFalls to User-agent: *
ClaudeBotAnthropicNot namedTraining modelsFalls to User-agent: *
Claude-SearchBotAnthropicNot namedClaude’s searchFalls to User-agent: *
PerplexityBotPerplexityNot namedPerplexity searchFalls to User-agent: *
Google-ExtendedGoogleNot namedTraining GeminiFalls to User-agent: *
bingbotMicrosoftNot namedBing and CopilotFalls to User-agent: *

Every AI crawler mttr checks may read it. Not named means the rules for every crawler apply.

Every page

Worst first. Each opens in Agent View at the top.

6 pages of 100 lose something. Pick a loss to see what to do about it.Open the action plan

What an agent getshigher is betterSignalsCostnot scored
PageWordsCleanReadableMain headingTokensWhat it loses
/blog/apache-superset-newsletter-by-preset3818%NoYes73Thin
/blog/apache-superset-newsletter-by-preset-october-20253819%NoYes74Thin
/blog/preset-ai-agent-skills-june-2026-newsletter3919%NoYes71Thin
/blog/preset-spring-2026-newsletter3919%NoYes72Thin
/blog/whats-new-in-preset-july-20253919%NoYes72Thin
/blog/apache-superset-newsletter-by-preset-february-20264020%NoYes77Thin
/blog/preset-achieves-hipaa-compliance26766%YesYes587Nothing
/blog/introducing-presets-interactive-pivot-table33471%YesYes606Nothing
/41672%YesYes1,456Nothing
/blog/preset-managed-private-cloud-now-available-on-google-cloud-platform35472%YesYes679Nothing
/blog/preset-managed-private-cloud-now-available-on-microsoft-azure38374%YesYes759Nothing
/blog/preset-certified-superset41575%YesYes997Nothing
/blog/introducing-presets-interactive-table-a-powerful-new-way-to-explore-your53979%YesYes1,096Nothing
/blog/preset-certified-superset-vs-superset-enterprise-readiness60780%YesYes1,131Nothing
/blog/case-study-flywire60082%YesYes1,207Nothing
/blog/headless-bi-the-not-so-scary-solution59082%YesYes1,102Nothing
/blog/preset-workspaces-and-why-you-need-them59682%YesYes1,099Nothing
/blog/preset-series-c61182%YesYes1,012Nothing
/blog/introducing-claudette-cli-supercharge-your-apache-superset-development59782%YesYes1,210Nothing
/blog/when-your-bi-tool-tells-you-who-its-for63282%YesYes1,175Nothing
/blog/scheduled-reports-filtered-tabbed-dashboards65283%YesYes1,057Nothing
/blog/apache-superset-repo-recap-march-202672983%YesYes2,301Nothing
/blog/post-ai-analyst81683%YesYes1,446Nothing
/blog/retrieving-the-current-filter-state-in-embedded-dashboards66783%YesYes1,331Nothing
/blog/stop-forking-around-the-hidden-dangers-of-fork-drift-in-open-source-adoption79185%YesYes1,549Nothing
The worst 25 of 100 pages.Show all 100

Show where it stands

A card, a badge and a line, each with the figures.

preset.io in Agent View: 94% readable
1200 by 630, for linksDownload

A badge for the site

Agent View: 94% readable
<a href="https://mttr.si/agent-view/preset.io"><img src="https://mttr.si/agent-view/preset.io/badge.svg" alt="Agent View: 94% readable, 91% clean" height="20"></a>
Drawn again after every read

The figures in one line

preset.io in Agent View: 94% of pages readable, better than 34% of sites; 91% clean; 309,412 tokens to read all 100 pages. mttr.si/agent-view/preset.io

What to do next

Fix the pages, let an agent do it, and read the site again to see the figures move.

Fix what agents miss

6pages lose something
  • Render the rest of 6 pages on the serverReadable
Open the action plan

Connect your agent

Claude Code, Codex or Cursor reads the site’s fixes over MCP, fixes a page in your code, has mttr read it again, and checks the fix landed.

https://mttr.si/mcp
Set up an agent

Claim the site

Prove it is yours with a DNS record or a file. Your agent can then reach its reads and jobs, and set each change to wait for your approval.

Claim the site

Drawn from the HTML mttr fetched on its read of October 24, 2026, not a screenshot, and only from the 100 pages read, where the read stopped at its page limit. An assistant’s own reader may differ. Tokens are estimated at about 4 characters each. A site an agent reads well is not a site an assistant cites.

Agent Viewpreset.io Close Esc
Introducing Claudette CLI: Supercharge Superset Development | Preset
preset.io/blog/introducing-claudette-cli-supercharge-your-apache-superset-development/

5 of 10 images have no words, so an agent gets nothing of them.

ProductPreset Cloud Fully-managed, cloud-hosted…Managed Private Cloud Preset with additi…Preset Certified Superset Deploy QA-appr…Preset Embedded Dashboards Interactive a…Preset API Managing your Preset workspac…AIPreset Chatbot Conversational analytics,…

Image with no words

SUPERSET DEVELOPERS

Introducing Claudette CLI: Supercharge Superset Development

Image with no words

Image with no words

Image with no words

Image with no words

Maxime Beauchemin, Evan Rusackas

August 28, 2025

3 min read

481 words

Image: Linkedin

Image: Twitter

Image: Reddit

Image: RSS Feed

TL;DR: Tired of juggling multiple Superset environments and waiting for containers to restart every time you switch branches? Meet Claudette CLI, a tool that lets you run multiple isolated Superset environments simultaneously, built for the AI-assisted development era.

Overview: See Claudette In Action

The Problem: Environment Hell

If you've ever worked on Apache Superset development, you know the pain. Switching between feature branches means:

  • Rebuilding Docker containers (again)
  • Reinstalling npm dependencies (again)
  • Dealing with Python virtual environment conflicts
  • Port collisions when trying to run multiple instances
  • Lost context and broken workflows

In today's AI-assisted development world, where Claude Code and other AI tools can generate code rapidly, these environment bottlenecks have become the new limiting factor. You're no longer waiting for code to be written; you're waiting for environments to spin up.

The Solution: Claudette CLI

Claudette CLI transforms how you work with Superset by using Git worktrees to create completely isolated development environments for each project or branch. You end up with multiple Superset installations that share the same Git history but run independently.

Key Features

🌳 Git Worktree Magic: Each project gets its own directory with isolated Python virtual environments and node_modules, while sharing the underlying Git repository.

🐳 Docker Integration: Run multiple Superset instances on different ports simultaneously—no more container conflicts.

⚡ Lightning Setup: New projects spin up in seconds with automatic dependency installation using uv for Python packages.

🧊 Smart Resource Management: Freeze inactive projects to reclaim ~3GB of disk space per environment, then thaw them instantly when needed.

🤖 Claude Code Ready: Built-in integration with Claude Code for seamless AI-assisted development workflows.

📝 Project Documentation: Persistent PROJECT.md files that survive branch switching and provide context to AI assistants.

Quick Start

Getting started takes less than a minute:

# Install claudette

pip install git+https://github.com/mistercrunch/claudette-cli.git # Initialize (clones Superset and sets up base config) claudette init # Create your first isolated project clo add my-feature # Drop into a Docker container and start coding clo shell

Pro tip: Use clo as the shorter alias for all commands!

Real-World Impact

The benefits become immediately apparent:

  • Parallel Development: Work on multiple features simultaneously without environment conflicts
  • Zero Context Switching Cost: Each environment maintains its state—databases, configurations, and dependencies
  • AI-Optimized Workflow: Spend time coding with AI assistance instead of waiting for environments
  • Resource Efficient: Freeze unused projects to keep your machine lean

Perfect For

  • Superset Contributors: Manage multiple PRs effortlessly
  • Data Teams: Test features across different branches simultaneously
  • AI-Assisted Developers: Eliminate environment setup bottlenecks
  • Anyone juggling multiple Superset projects

Commands You'll Love

clo add feature-x # Create new isolated environment clo shell # Enter Docker container clo docker up # Start services clo claude code # Launch Claude with project context clo pytest tests/ # Run tests in isolation clo freeze old-feature # Save 3GB+ disk space clo list # See all your projects

Get Started Today

Ready to transform your Superset development workflow?
➡️ Get Claudette CLI on GitHub

The tool is open source and actively maintained. Contributions, feedback, and feature requests are welcome!

All the features of Superset (and more) without the hassles of scaling/managing/upgrading, with plenty of time to grow into it. Free for five users, forever.

Related Reading

  • How Micro-Corrections Drive AI Success: Why intuition and small nudges matter more than perfect prompts
  • Adopting Claude Code: Riding the Software Economics Singularity: The broader transformation in software development economics
  • How to Contribute to Superset: Getting started as a Superset contributor

Let's get visual. Try Preset today.Start for free

Subscribe to our blog updates

Receive a weekly digest of new blog posts

Image: Close

Preset CloudManaged Private CloudPreset On-PremPreset Certified SupersetEmbedded DashboardsAPITrust and SecurityAI

Drawn from the HTML mttr fetched, not a screenshot.
page.md597 words, about 1,210 tokens
SUPERSET DEVELOPERS

# Introducing Claudette CLI: Supercharge Superset Development

Maxime Beauchemin, Evan Rusackas

August 28, 2025

3 min read

481 words

**TL;DR**: Tired of juggling multiple Superset environments and waiting for containers to restart every time you switch branches? Meet Claudette CLI, a tool that lets you run multiple isolated Superset environments simultaneously, built for the AI-assisted development era.

## Overview: See Claudette In Action

## The Problem: Environment Hell

If you've ever worked on Apache Superset development, you know the pain. Switching between feature branches means:

- Rebuilding Docker containers (again)
- Reinstalling npm dependencies (again)
- Dealing with Python virtual environment conflicts
- Port collisions when trying to run multiple instances
- Lost context and broken workflows

In today's AI-assisted development world, where Claude Code and other AI tools can generate code rapidly, these environment bottlenecks have become the new limiting factor. You're no longer waiting for code to be written; you're waiting for environments to spin up.

## The Solution: Claudette CLI

Claudette CLI transforms how you work with Superset by using Git worktrees to create completely isolated development environments for each project or branch. You end up with multiple Superset installations that share the same Git history but run independently.

### Key Features

**🌳 Git Worktree Magic**: Each project gets its own directory with isolated Python virtual environments and node_modules, while sharing the underlying Git repository.

**🐳 Docker Integration**: Run multiple Superset instances on different ports simultaneously—no more container conflicts.

**⚡ Lightning Setup**: New projects spin up in seconds with automatic dependency installation using `uv` for Python packages.

**🧊 Smart Resource Management**: Freeze inactive projects to reclaim ~3GB of disk space per environment, then thaw them instantly when needed.

**🤖 Claude Code Ready**: Built-in integration with Claude Code for seamless AI-assisted development workflows.

**📝 Project Documentation**: Persistent PROJECT.md files that survive branch switching and provide context to AI assistants.

## Quick Start

Getting started takes less than a minute:

```
# Install claudette
pip install git+https://github.com/mistercrunch/claudette-cli.git
# Initialize (clones Superset and sets up base config)
claudette init
# Create your first isolated project
clo add my-feature
# Drop into a Docker container and start coding
clo shell
```

Pro tip: Use `clo` as the shorter alias for all commands!

## Real-World Impact

The benefits become immediately apparent:

- **Parallel Development**: Work on multiple features simultaneously without environment conflicts
- **Zero Context Switching Cost**: Each environment maintains its state—databases, configurations, and dependencies
- **AI-Optimized Workflow**: Spend time coding with AI assistance instead of waiting for environments
- **Resource Efficient**: Freeze unused projects to keep your machine lean

## Perfect For

- **Superset Contributors**: Manage multiple PRs effortlessly
- **Data Teams**: Test features across different branches simultaneously
- **AI-Assisted Developers**: Eliminate environment setup bottlenecks
- **Anyone juggling multiple Superset projects**

## Commands You'll Love

```
clo add feature-x # Create new isolated environment
clo shell # Enter Docker container 
clo docker up # Start services
clo claude code # Launch Claude with project context
clo pytest tests/ # Run tests in isolation
clo freeze old-feature # Save 3GB+ disk space
clo list # See all your projects
```

## Get Started Today

Ready to transform your Superset development workflow?
**➡️ [Get Claudette CLI on GitHub](https://github.com/mistercrunch/claudette-cli)**

The tool is open source and actively maintained. Contributions, feedback, and feature requests are welcome!

All the features of Superset (and more) without the hassles of scaling/managing/upgrading, with plenty of time to grow into it. Free for five users, forever.

---

**Related Reading**

- [How Micro-Corrections Drive AI Success](https://preset.io/blog/how-micro-corrections-drive-ai/): Why intuition and small nudges matter more than perfect prompts
- [Adopting Claude Code: Riding the Software Economics Singularity](https://preset.io/blog/adopting-claude-code-riding-the-software-economics-singularity/): The broader transformation in software development economics
- [How to Contribute to Superset](https://preset.io/blog/how-to-contribute-to-superset/): Getting started as a Superset contributor

## Let's get visual. Try Preset today. [Start for free](https://manage.app.preset.io/starter-registration/)

#### Subscribe to our blog updates

Receive a weekly digest of new blog posts
Drawn from the HTML mttr fetched, not a screenshot. An assistant’s own reader may differ.Tokens are estimated at about 4 characters each.