LinkedIn·Wednesday, 5 August 2026·20d ago

UVM testbenches are too complex for an AI coding agent to review from syntax alone. A testbench can compile and still contain issues in…

Sigasi

1,682 followers

UVM testbenches are too complex for an AI coding agent to review from syntax alone. A testbench can compile and still contain issues in factory registration, constructors, utility macros, overrides or phase methods. Asking the same LLM that generated the code to validate it only adds another probabilistic opinion. In this screencast, an AI coding agent works with Sigasi through MCP to identify and fix UVM-specific issues using deterministic, project-aware feedback. Sigasi understands the configured UVM library, SystemVerilog project context and UVM-specific rules. The agent can act on precise diagnostics instead of guessing how the framework should behave. Sigasi supports checks for issues such as incorrect utility macros, invalid object instantiation, improper overrides and incorrect constructors. This is what practical AI-assisted verification looks like: ✓ The coding agent analyzes and modifies the UVM testbench ✓ Sigasi validates it against the real project and UVM framework ✓ Framework-specific issues are found before simulation ✓ The agent receives actionable diagnostics instead of reviewing its own output ✓ The engineer gets a cleaner, review-ready testbench—not one merely declared “done” AI is excellent at recognizing patterns and proposing code. Sigasi provides the deterministic, symbolic layer that checks whether those proposals make sense in the actual verification environment. The agent proposes. Sigasi grounds and validates. Engineers decide. ▶️ Watch the “Fix UVM Testbench Issues” screencast: https://lnkd.in/e-zdkcC5 Fix UVM testbench issues https://www.youtube.com/watch?v=d9J1WdlV3CA