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CoursesArchitectural DesignVibe Coding for Designers: Adaptive Toolmaking
May 16-17, 202612 lessonsBeginner
Architectural DesignFREE with Full AccessWorkshopMay 16-17, 2026Beginner12 lessons6h 57mParametric DesignDesign AutomationCoding for Architects

Vibe Coding for Designers: Adaptive Toolmaking

Vibe Coding for Designers: Adaptive Toolmaking is a workshop that teaches designers to use AI, Python, and Grasshopper to build adaptive tools for controlling geometry across digital and physical workflows. Using Gemini and Claude AI to generate and edit code from natural-language prompts, students learn to install and run Python in Grasshopper, integrate real-time data into design decisions, and build a custom computer vision algorithm that feeds a pattern generator for 3D-printed objects. The workshop is Beginner level and requires no prior coding experience.

Learn from Jacob Lehrer
FREE with Full Access

Instructor

Jacob Lehrer4 courses

  • May 16-17, 202613:00 - 17:00 (GMT)
  • 6 Hours 57 MinTotal duration
  • Lifetime accessRewatch anytime
  • BeginnerLevel
  • 50 seatsClass size
  • EnglishLanguage
  • EnglishSubtitles
  • 12 LessonsLessons
  • CertificateIncluded
  • Course filesDownloadable

Every language has the same purpose: communication between two entities.  With the proliferation of AI tools, it has suddenly become much easier to communicate your needs to a computer in plain language, rather than machine code.  In this workshop, we will discuss how to use AI tools to create custom applications, web pages, and one-off Grasshopper tools.

We will start with how to describe a piece of software you want to use with an AI coding tool, how to start integrating real data, and how to export that data for use elsewhere. Then, we will go over how to make a piece of software ready for combining with another using hidden tricks for smooth communication.

Then we will start with Python and how to use it in Grasshopper to experiment with 3D-printed textures.  Then, we will tie it all together by building a custom computer vision algorithm that produces data ready for Grasshopper to use.

  • 01

    Understand the basics of coding

  • 02

    How to install and use Python

  • 03

    How to prepare data to move between software

  • 04

    How to describe a software goal to AI effectively

  • 05

    How to edit and review AI-Generated code

  • 06

    How to structure code for integration using AI

Grasshopper 3DRhinoceros 3DPythonGeminiClaude AINotepad++

This workshop will navigate the dynamic world of AI coding to learn the most resilient coding workflows for different types of problems.  The goal is an understanding of how to figure out what problems you want to solve and the optimal tools to help you solve them.

We will use real-time data where available to help inform design decisions, where, instead of pulling a static set of statistics once, you can continuously review the exact conditions of a place. This new push into real-time allows architects to focus on the ongoing condition of their building post-delivery while still designing for a day-one occupancy.

With that foundation in accessing real-time data, we will move into the ways that you can construct unique data and output combinations to fit your own needs.  This will include methodologies for Computer Vision, and how to creatively interpret this data into a pattern generator for a 3D printed object in Grasshopper.

The goal is to reflect on the open-endedness of the possible combinations of data source and data interpretation.  By doing this, we can create projects that are even more dynamically specific to their location and to the data that is generated and constructed within them.

Program:

Day 1:

  • Information: Introduction to AI Coding
  • Demonstration: Gemini to Claude Workflow for Website Page 
  • Instruction: Data Structuring for Communication
  • Application: Expand Website
  • Instruction: API 101
  • Application: Exports - JSON, How to speak to a computer
  • Application: Hidden Comments - how to make AI talk to AI

Day 2:

  • Information: AI Agency, Authorship, Biases, and Rapid Innovations
  • Instruction:  How to Use Python + pip Install
  • Application: Bring it into Grasshopper 
  • Application: DIY 3D Printing in Grasshopper
  • Application: Expand Grasshopper Applications to use JSON
  • Application: Python in VSCode
  • Next Steps - Local Models, Claude Code Agents, CV use cases

12 Lessons6h 57m

Instructor

Jacob Lehrer

View profile
5.0instructor rating4courses

Jacob Lehrer is an architectural designer and researcher dedicated to exploring the intersection of architecture, technology, and ecology. Currently an M.Arch II candidate at the Southern California Institute of Architecture (SCI_Arc), he holds a Bachelor of Science in Architecture from Wentworth Institute of Technology and is an Advanced Study Fellow from MIT. His professional background spans from co-founding LMDA LLC, where he led design development for animal care facilities, to managing operations and space planning as a Project Coordinator for the MIT Mathematics Department. Jacob views architecture as a problem-solving discipline, leveraging his diverse experience to bridge the gap between abstract algorithms and physical space. A triple-accredited LEED AP (BD+C, O+M, ND), Jacob combines a deep commitment to sustainability with advanced technical proficiency in tools like Python, Rhino, Grasshopper, and KUKA robotics. His recent work includes developing the "Sentient Environment Engine," a custom computer vision algorithm for analyzing occupant behavior, and fabricating mathematical sculptures for MIT’s permanent collection. Whether teaching PAACADEMY parametric design workshops or publishing research on the ethics of language models, Jacob focuses on using computation to create built environments that are responsive, efficient, and tailored to their specific contexts.

5.0·11
5.0avg·1 Rating
1 Review
ARATHA JARUCHAIYAKULMay 19, 20265.0out of 5

This course introduced me to the fundamentals of how data can be effectively utilized and exchanged between software systems. Despite having very limited coding knowledge, I realized that the barrier to entry has become significantly lower, enabling anyone to explore “vibe coding” and create innovative solutions without requiring extensive technical expertise.

ARATHA  JARUCHAIYAKUL
ARATHA JARUCHAIYAKUL
May 19, 2026

This course introduced me to the fundamentals of how data can be effectively utilized and exchanged between software systems. Despite having very limited coding knowledge, I realized that the barrier to entry has become significantly lower, enabling anyone to explore “vibe coding” and create innovative solutions without requiring extensive technical expertise.

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  • 02GPT-Astra in Architecture: Agentic AI Modeling with Astra, Fable, Rhino and RevitFredy Fortich€85.00
  • 03Parametric Intelligence 2.0 - Studio Tim FuTim Fu€310.00
  • 04Dynamic Wearables for Fashion DesignRJ Weaver€102.00
  • 05Parametric IntelligenceTim Fu€300.00
  • 06AI-Driven Design PracticeCas Esbach€35.00
  • Generative Architecture with AI (SD+FLUX)Fredy FortichIntermediate14 lessons8 Hours€136.00€160.00
  • GPT-Astra in Architecture: Agentic AI Modeling with Astra, Fable, Rhino and RevitFredy FortichBeginner8 lessons5 Hours€85.00€120.00
  • Parametric Intelligence 2.0 - Studio Tim FuTim FuIntermediate21 lessons16 Hours€310.00€430.00
  • Dynamic Wearables for Fashion DesignRJ WeaverBeginner10 lessons8 Hours€102.00€120.00
  • Parametric IntelligenceTim FuIntermediate14 lessons4 Sessions (16 Hours)€300.00€400.00
  • AI-Driven Design PracticeCas EsbachIntermediate3 lessons1 Session (5 Hours)€35.00€50.00
Save €16.50

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€93.50€110.00

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Pro Membership€79.48Save €14.02 on this courseFull Access€0.00Plus every other course
InstructorJacob Lehrer
Regular Price
Save €16.50
€93.50€110.00
Pay less with membership
Pro Membership€79.48Save €14.02 on this courseFull Access€0.00Plus every other course