ASIC workflows, VLSI learning, and chip design tooling. Powered by AI

The case for this hub is practical, not fashionable. Recent industry and academic work points in the same direction: verification still consumes a huge share of chip schedules, public LLM-for-EDA results are now meaningful, and the usable public stack is still spread across narrow point solutions instead of one mature, reviewable operating model.

• Verification pressure is measurable: the 2024 Siemens EDA / Wilson Research functional verification report puts first-silicon success at just 14%, and the 2026 ASPDAC verification survey describes verification as consuming up to 70% of the development cycle.
• Public progress is real: Ask-EDA reports large recall gains from hybrid RAG, ChipNeMo shows that domain adaptation materially improves hardware-assistant performance, and the VerilogEval revisit pushed the best public spec-to-RTL pass rate to 63%.
• The public research shelf is wider than it looks: recent surveys now catalog named systems for assertion generation, testbench and stimulus generation, RTL debugging, and collaborative verification.
• The missing layer is integration: engineers and students still need a place that turns papers, repos, and tool demos into reviewable workflows, grounded learning, and reproducible practice.