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Converting legacy drawings into 3D models is the most requested and most underestimated job in CAD automation. Here is why geometry is not enough, how design intent gets recovered, and where AI actually fits in the chain.
The first week of a CAD automation project is decided by what you measure, not which tool you pick. A four-step working method, from measuring the problem to widening scope in the field.
CAD automation tools promise 70%, 85%, 90% speed-ups. Here is what those numbers measure, what they leave out, and how to build an honest measurement for your own process.
There are three routes on the AutoCAD side: AutoLISP, .NET/ObjectARX, and AI-assisted generation. Here is when each is the right call, with a decision table based on team size and maintenance load.
Independent engineering software project combining CAD/CAM, manufacturing automation, and modern C#/.NET architecture for light steel framing.
Automation Layers
SolidWorks automation for truck/trailer dorse rear door frames — from VBA macro to C# Add-in.
AI-powered SolidWorks Add-in: parametric design, 2D→3D automation, and engineering software that defines CAD workflows in code.
AI tools genuinely accelerate scaffolding and API discovery when building SolidWorks add-ins. They also produce confidently wrong code around COM lifetimes and silent failures. Learning to separate the two is the whole skill.
SolidWorks 2026 hands drawing generation and standard hardware recognition to AI. Here is which minutes of the working day those features actually give back, which ones they don't, and what it means for add-in developers.
The ROV design we presented at Istanbul Gedik University's 1st National Congress on Interdisciplinary Approaches: doing underwater welding and weld inspection autonomously, in one vehicle, with image processing and machine learning.
The Unmanned Aerial Vehicles and Technology seminar I gave at Gedik University: the real cost lines of parcel logistics, a delivery network built on mobile ground control stations, and the Paper Plane cargo UAV airframe study.
A practical framework for putting parametric modelling and LLM workflows to work together in engineering — pilot scoping, measurement, a deterministic validation checklist, and where to stop.
Practical architecture notes for a sustainable codebase in large-scale industrial projects — module boundaries, data contracts, decision records, and test discipline.
An introduction to scripting against the SolidWorks API to cut repetitive design work — COM connection, parameter updates, session handling, and where Python ends and C# begins.
