As (E)CAD manager, you’re measured on predictable delivery and risk reduction. That’s exactly where Sigasi Visual HDL makes the difference.
The CAD-manager problem
As (E)CAD manager, your success is measured by one thing: how efficiently your teams can deliver correct silicon. Tooling decisions show up as:
- unpredictable schedules due to rework loops
- onboarding friction and inconsistent coding patterns
- late-stage issues that consume verification bandwidth
- documentation drifting out of sync with reality
Sigasi Visual HDL addresses these upstream, where fixes are cheaper and governance is easier.
What you get
Sigasi Visual HDL helps upstream by reducing avoidable RTL churn before simulation and integration—without replacing verification or sign-off tools. It brings IDE-grade semantic understanding to VHDL, SystemVerilog, and mixed-language projects inside VS Code, helping teams catch avoidable issues earlier and navigate large codebases faster.
1. Productivity That Scales with Team Size
Engineers spend less time hunting and more time building with:
- accurate navigation and symbol resolution
- immediate diagnostics while they type
- refactoring that remains project-aware across files/packages
2. Fewer avoidable issues reaching simulation
Sigasi performs deep, language-aware static analysis to flag issues that basic editors miss (types, interfaces, hierarchy consistency, language pitfalls). This improves signal-to-noise for verification and reduces avoidable churn.
3. Faster onboarding, more consistent output
Clear diagnostics and consistent guideline enforcement help new hires become productive sooner, with less mentoring overhead and more predictable results.
4. Documentation that stays aligned with the RTL
Sigasi Visual HDL generates design documentation directly and continuously from source, keeping interfaces and hierarchy views in sync and up-to-date, reducing knowledge silos and improving handovers.
5. Fits into your existing flows
Sigasi runs in VS Code and complements - not replaces - simulators, synthesis, and verification tools. Rollout is straightforward across teams and sites because you’re not asking engineers to abandon their existing toolchain.
6. Built for real-world, long-lived codebases
Designed for mixed-language environments, large projects, and multi-contributor codebases; not a “toy editor feature set.”
7. ROI you can measure in a pilot
Instead of abstract claims, Sigasi is best evaluated with a short team trial on an active repo. Typical pilot measurements include:
- fewer avoidable issues reaching sim/CI
- reduced PR review churn (iterations/time-to-merge)
- faster navigation/refactoring in large designs
- faster onboarding (time to first productive change)
How to evaluate
The business ultimately judges the CAD manager by outcomes in silicon. Sigasi supports that goal upstream by improving RTL consistency and catching avoidable issues early; it complements (not replaces) simulation, verification, and sign-off. A low-risk (team) trial giving you confidence - in delivering more often correct silicon - looks like this:
- Select 1–2 representative projects (mixed-language if relevant)
- Apply your baseline guideline rules (or start with a standard set)
- Run Sigasi in VS Code + optional CI checks for 2–3 weeks
- Review metrics: noise reduction, review churn, onboarding time, integration surprises
Ready to see how this fits your organization?
Request a (team) trial to evaluate on your repo and get a free 20 minute demo on top tailored to your flow.