rtl-review-refactor

Automate RTL code review and refactoring by running structured LLM-based analysis to classify findings, apply safe constrained edits, and enforce mandatory re-validation gates that prevent regressions. This orchestrates deterministic scripts and replayable validation tests to verify changes before merging.

Separate safe RTL refactors from human approval items by classifying review findings by severity. Structured LLM review categorizes issues, isolates automatable safe edits, and flags complex cross-cutting quality issues for manual intervention.

Yes, you can run LLM-driven RTL refactoring on module, block, and top-level designs. The workflow applies structured review and controlled edits across varying scopes to address cross-cutting quality work during P4, P5, and P6 development phases.

Validate RTL changes automatically before merging by enforcing mandatory re-validation gates. The orchestration capability runs deterministic scripts and collects test outputs, creating replayable verification to ensure no regressions are introduced to the main branch.

Automated RTL refactoring and validation require repository read and write access. The workflow executes Bash commands, runs deterministic scripts, and orchestrates validation tasks to apply constrained edits and collect test outputs for verification.

Use structured LLM review for RTL source code after automatic generation to identify cross-cutting quality issues. It is applicable during P4, P5, and P6 phases to apply safe refactors, replay validation tests, and gate merges.