Every CADFrontier analysis and report, newest first.
SOLIDWORKS now has a dedicated Design AI page covering built-in AI features and its AURA and LEO Virtual Companions. We sort out the two layers, the features already in release notes, tokens, data security and how this differs from external agents and community MCP servers.
A dated survey of mainstream mechanical CAD, official AI assistants, MCP interfaces, commercial add-ins, research datasets and open geometry kernels.
Review geometry, feature history, manufacturing, tolerances, reuse and serviceability before releasing a part, with AI helping organize questions and risks.
CADBench V3 tests 40 drawing-based FreeCAD tasks. This analysis explains scoring, model and agent differences, and why benchmark scores do not certify delivery.
Keep native CAD as the source of truth: build features, compare drawings, add properties, generate drawings and archive revisions, with engineering review.
CAD Arena tests drawing-to-CAD in native tools. This archived analysis examines geometry, editability, failure cases and the checks engineers still need.
FrontierCAD evaluates parts and assembly poses using geometric jigs. This report analysis examines scores, selection bias and the limits of fit verification.
Using Backflip as a case study, this analysis separates vendor claims from third-party trials and explains where drawing-to-CAD still needs engineering checks.
From generating a shape to building an editable engineering model. Understanding AI CAD starts with the gap between geometry, parameters and design intent.
Neutral formats move geometry between systems; feature history shapes what can be changed next. The same solid can have very different modeling histories.
A successful tool call is only a starting point. Turning design requirements into checkable conditions gives long-running CAD agents a basis for reliable execution.
From repeated clicks to explicit rules: how Onshape makes custom features part of parametric modeling.
