Penpot Blog (Page 3)

Latest

The image shows the title: AI Workflows explained

Penpot AI workflows explained

What AI workflows are, how Penpot MCP connects your files to agents, and when they’re worth using on real product work.

Beginners

What is prototyping? A beginner’s guide

Learn what prototyping is, why it matters, and how to get started. From low-fidelity sketches to interactive flows, this guide covers everything you need to build better products before a single line of code is written.

the image shows the title: Api and webhooks for workflow automatization on a blue background

Tools

How to integrate Penpot with your developer toolchain: APIs and webhooks for workflow automation

Turn design updates into automated workflows. Learn how to connect Penpot with GitHub Actions, GitLab CI/CD, Slack, and custom scripts using APIs, access tokens, and webhooks.

The image shows the title: "8 penpot features for product team" , in the background there is a blurred pics of a monitor with a design system project on i

Tools

8 advanced Penpot features for product teams (and why you should use them)

Discover 8 advanced Penpot features that help product teams reduce design-to-development friction, create more efficient workflows, and maintain consistency at scale.

Set up Penpot MCP with Cursor in 5 steps and no code

The fastest and simplest way to get started with Penpot and AI workflows from scratch. Learn how to get started with Penpot and Cursor, a code editor with an integrated AI client.

Set up mcp server in 6 minutes with opencode and openrouter.

Set up Penpot MCP with OpenRouter and OpenCode in 6 steps

One of the fastest ways to set up Penpot for AI workflows in just 6 steps, no coding required, and only using free, open, and/or low-cost tools.

Code

Practical uses for math functions in design tokens

Penpot design tokens support both basic calculations and complex math functions. Let’s explore how you can use both to level up your design systems.

the_image_shows_the_title_how_to_make_prompt_more_efficient

How to make your prompts more efficient

The following “token-aware” approach treats prompts like structured contracts instead of a wish-list or diary, so you get better outputs in fewer iterations (and with fewer prompt credits).

the_image_shows_three_prompt_boxes_and_the _main_one_contains_the _title_of_the_article

The designer's guide to effective AI prompting

Learn how to write structured, token‑aware AI prompts in Penpot so you get cleaner design systems, fewer hallucinations, and faster, production‑ready outputs.

The image shows the title "A giude to design tokens .JSON format" on a dark background

Code

A practical guide to the design tokens JSON format

Learn about the design tokens JSON file format and how Penpot works with it.

The title "5 reasons why enterprises are self hosting" is showcased in the middle of a light gray backgrou

Tools

Cloud repatriation: 5 reasons why enterprises are self-hosting their design tools

Why are design platforms overlooked in cloud repatriation plans? Discover 5 reasons enterprises self-host design tools for security, compliance, and cost control.

Penpot

How to deploy Penpot with Docker: A Technical, Step-by-Step Guide

Step-by-step guide to deploying Penpot with Docker. Covers installation, configuration, version management, backups, HTTPS setup, and authentication for self-hosted instances.

See all