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The provided sources detail two technical developments. First, a usability analysis of terminal-based developer experience (DX) focuses on the ANTIKODE terminal-native AI coding engine, synthesizing HCI research and cognitive science. Second, the Inte11ect platform analyzed quantization techniques for the Qwen2-VL-2B model. Results show that the Q4_K_M scheme and GGUF format integration achieved a memory reduction from 8.5 GB to 2.2 GB, while maintaining performance with a minimal perplexity increase of only 0.47 points.