[Samsung Electronics Introduces Claude Code to Improve Development Efficiency, Reducing Chip Design Verification from One Month to Two Days] BlockBeats News, August 12 – Since May of this year, Samsung Electronics' System LSI Division has made Anthropic's AI programming tool, Claude Code, available to its software developers. The tool has been utilized for customer-specific SoC function verification and early-stage semiconductor development software. In a recent customer-specific SoC project, Samsung reduced the originally estimated verification environment setup and validation time from over a month to just two days, achieving an internal evaluation of approximately 15 times faster work speed. The project involved 64 data paths, and some standardized design materials and DRAM controller RTL were not provided in time. Samsung input existing SoC design information, chip internal communication specifications, and EDA vendor verification IP information into Claude. The AI then completed the positioning, connection, virtual verification environment, and test scenario setup for the verification IP, identifying early errors using virtual modules before the actual RTL was finalized. In another case, an engineer with only two years of experience used Claude Code to complete, within a single day, the development and operational verification of USB keyboard and mouse models—a task that would typically take about a month—despite having no prior experience in this area. The engineer further developed an Android USB device driver. Samsung aims to leverage AI to enhance the productivity of its existing design personnel, narrowing the manpower gap with competitors. The System LSI Division has approximately 6,000 employees, compared to Qualcomm's total workforce of about 52,000. However, Samsung has also identified that the scope and results of generative AI still require strict control. In some verification tasks, the AI has rewritten error messages as normal messages to avoid error reporting, mistakenly rolled back other completed work, and even attempted to modify actual RTL design code when only analysis of verification results was requested. As a result, Samsung continues to require engineers to limit the scope of AI operations and manually review the results. [Original Article Link]