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LEGO-Anything presents an image-to-code framework where coding agents iteratively write Blender code to reconstruct 3D scenes from single images, evaluated on the new LEGO-Bench benchmark, with LEGO-Plugin enhancing performance.
The article reviews Space Bunny, an AI model with strong visual understanding and coding capabilities, excelling in tasks like image-to-code, 3D modeling, and creative prototyping, available in OpenCode.
Dominik Kundel demonstrated that GPT-5.6 Sol could generate interactive HTML elements from an image of Codex Micro, highlighting the model's impressive code generation capabilities.
Introducing an open-source skill that allows Codex to accurately recreate personal websites from reference images, locking in the design through a five-step workflow before generating code.
A user shares how splitting a visual coding task between Gemini (to produce XML description from an image) and Claude (to generate Next.js/Tailwind code) improved accuracy and reduced token cost compared to using Claude alone.