𝗜 𝗯𝘂𝗶𝗹𝘁 𝗮 𝗠𝗶𝗻𝗲𝗰𝗿𝗮𝗳𝘁 𝘁𝗼𝘄𝗲𝗿 𝗶𝗻 𝗚𝗿𝗮𝘀𝘀𝗵𝗼𝗽𝗽𝗲𝗿 𝘄𝗶𝘁𝗵 𝘃𝗶𝗯𝗲 𝗰𝗼𝗱𝗶𝗻𝗴! I’m excited to share a deep dive into 𝗦𝗰𝗿𝗶𝗽𝘁 𝗠𝗼𝗱𝗲 of 𝗔𝗻𝘁. One of the biggest hurdles for many designers is moving from visual programming to actual scripting (C# / Python). Ant changes that. By integrating LLMs directly into the Grasshopper canvas, you can now: ✅ Generate full script components via text prompts. ✅ Debug code on the fly with AI assistance. ✅ Rapidly prototype complex geometries (like this Minecraft-style tower). In this video, I go from a blank canvas to a fully parametric tower in just a couple of minutes. If you’re a Rhino/Grasshopper user, I’d love to hear your thoughts on how this could change your workflow! Watch a time-lapse below. Check out the whole video at: https://lnkd.in/dWmcgdqh Also, become a part of our growing Discord community: https://lnkd.in/dirDZ3t6 #AntforGrasshopper #Python #CSharp #ParametricDesign #Architecture #Grasshopper #AI #CAD

Dear Connections, Excited to share a recent project I’ve been working on in Grasshopper! 🚀 I developed a Python script that enables the parametric design of V-shaped column systems with varying cross-sections. This approach allows for flexible exploration of different geometries and structural configurations, making the design process both efficient and highly adaptable. By integrating parametric logic with Python, I was able to quickly generate and iterate through multiple section variations, optimizing both form and performance. Looking forward to hearing your thoughts and connecting with others interested in computational design and parametric workflows! #Grasshopper3D #ParametricDesign #ComputationalDesign #Python #Architecture #DigitalDesign

A great plugin for any C4D Redshift users, super clean way of keeping on top of Object and Material ID's. No need to individually check one at a time 👌

<Enhancing Healthcare Design Efficiency with Python & Grasshopper> How can we maximize the capacity of an emergency room without compromising patient care and circulation? This script provides the answer through automated space planning. Using a custom Python script within the Grasshopper environment, I’ve automated the tedious process of bed layout. The algorithm considers wall offsets, minimum clearance between beds, and central corridor logic to generate a high-performance floor plan in seconds. Key Benefits: Efficiency: Reduces hours of manual layout work to mere seconds. Accuracy: Eliminates human error in calculating safety clearances. Flexibility: Easily adaptable to various room shapes and medical requirements. I believe the future of architectural design lies in these specialized computational tools that allow architects to focus on high-level decision-making. #PythonScripting #ParametricDesign #ArchitectureTech #DigitalConstruction #SpacePlanning Github Link : https://lnkd.in/gvpruDJX

"The project is never-ending, but the results are finally here" project is closing in , If you understand the math, you can build anything. Tommorow is the day,Ready to show this to my supervisor tomorrow—wish me luck! I’ve always believed that the best way to understand the web is to build without the "safety net" of heavy libraries. I just finished building 4 custom interactive backgrounds from scratch. The Engineering Breakdown: The Math: Used the distance formula d = sqrt (x2-x1)^2 + (y2-y1)^2 for real-time particle proximity detection and "web" connectivity. The Geometry: Leveraged Math.cos() and Math.sin() for algorithmic shape generation—no static images, just pure trigonometry. The Rendering: Bypassed the React Virtual DOM in favor of the Canvas 2D Context, ensuring a locked 60 FPS by talking directly to the GPU. #Javascript #CanvasAPI #WebPerformance #CreativeCoding #MathInCode 

 90 Days of Code: Building a Professional Photo Filter Engine! 🎨🎭 Day 90/100 To mark Day 90, I moved from analyzing images to creating them. Today, I built a Custom Color Tint Engine using NumPy and Matplotlib. By manipulating individual RGB channels and restacking them into 3D tensors, I created my own 'Cyberpunk' and 'Sepia' filters from scratch. Technical Highlights: 🎭 Channel Re-composition: Mastering np.dstack to merge 2D matrices back into a high-fidelity 3D image. 💹 Gain Variation: Using custom multipliers across the Red, Green, and Blue channels to shift the 'color temperature' of a dataset. 🛡️ Saturation Control: Implementing np.clip to ensure that digital 'tints' don't lead to pixel blowout or numerical noise. 🏗️ Algorithmic Art: Bridging the gap between raw data processing and creative UI/UX development. Do check my GitHub repository here : https://lnkd.in/d9Yi9ZsC #100DaysOfCode #ComputerVision #NumPy #Python #BTech #IILM #AIML #ImageProcessing #DataScience #SoftwareEngineering #CreativeCoding #WomenInTech

Built a small automation in Civil 3D using Dynamo + Python to calculate station and offset for COGO points and apply label styles automatically. What used to be repetitive manual work is now: • Standardized • Repeatable • Less error-prone Added a simple UI (Data-Shapes) so it can actually be used by others, not just sit as a script. Still early, but I’m starting to see how these kinds of tools can turn everyday engineering tasks into more structured systems. Next step is tying this into project-level data and reporting. Thanks to Alex Severson for all the help as well as Eddie Cruz #dynamo #python #automation

I burned through my entire token budget in 1 hour. On a CAD model. This morning I tested a new generative CAD setup. Claude with a custom skill from this open source project: earthtojake/text-to-cad (check out on github): ++ Uses occ + python + build123d, has a built-in web frontend for instant review ++ Generates real STEP geometry, not meshes ++ Takes screenshots of each step to validate and iterate That last part is the interesting bit: Many other one-shot approaches just generate the python code and the result is often off. This skill reiterates, it looks at its own output, checks it, and tries again. Basically: a feedback loop for CAD. The result so far is… unfinished. For simple prompts, I got 100% correct models. More complex models: not production ready, but you can see where this is going. I had to stop mid-iteration because my tokens were gone. Let’s get a coffee. I’ll continue once my budget recovers. See the intermediate result below.

After several days of work, I am about to finalize a 𝗠𝗲𝘀𝗵 𝗕𝗹𝗲𝗻𝗱 tool for Maya. Available on my Gumroad page: https://lnkd.in/dgbuyVNN This tool creates the visual illusion that two meshes are perfectly merged together. It generates a smooth and gradual transition exactly where the geometries intersect, completely eliminating any harsh demarcation lines. Under the hood, the tool uses a depth-based fade (Pixel Depth, Scene Depth, or Z-Buffer) to create a mask that extends the ground texture onto the object, and it also takes normal blending into account. Ultimately, this tool allows you to automate and simplify interactions between your objects in a highly organic way! I'll share more details with you in the next few days. #3d #Maya #Tool #Python

Industry leaders are shifting toward interactive 3D narratives. Static brand presentations no longer deliver high engagement. We leverage Blender Python automation for scalable workflows. This technical approach ensures massive assets stay performant. Our architecture utilizes GPU acceleration for web delivery. This deep dive reveals the future of scrollytelling. Blog: https://lnkd.in/eJ-HNCkM Video: https://lnkd.in/efZDPvYs Books: https://lnkd.in/gqejw-pc Wookworking Blueprints: https://ojamboshop.com Tutorials: https://ojambo.com/contact Consultations: https://lnkd.in/eWRXWP6E #SystemsArchitecture #DigitalTransformation #WebGPU