23 short clips, 7 chapters, see Sigasi Visual HDL work on real code
The Ultimate Guide to Better RTL Development
Our new demo movies show Sigasi Visual HDL working on real HDL in 23 short clips. You pick what you want to see, in any order, without installing anything.
See it before you install it
Most engineers judge a tool by opening a real project, break something, and watch what the tool does about it. That takes an install, a license, and a project setup before you see a single diagnostic.
Our new demo movies skip all three. Every clip shows Sigasi Visual HDL on real SystemVerilog, Verilog, and VHDL code, with one sentence on what you are looking at. Each clip takes seconds, not a webinar slot.
Start with the chapter closest to your daily work: open the demo movies page
Seven chapters, from the first keystroke to the agent
The tour follows the order in which you meet Sigasi in your own work.
| Chapter | Clips | What you see |
|---|---|---|
| Write | 3 | Syntax checking with file, line, and column while you type; autocomplete of whole constructs, including an instantiation with its ports; formatting |
| Navigate | 3 | Go to definition, find references across every file in the project, mark occurrences |
| Understand | 6 | Design hierarchy, block diagrams, state machines, UVM structure, a dependency graph with SystemVerilog and VHDL in one view, and the preprocessor view |
| Refactor | 1 | Rename an object and every reference to it, leaving unrelated text that happens to match alone |
| Standards | 3 | Linting with per-rule severity, quick fixes applied to a file, a library, or the whole project, and documentation generated from the code |
| Set up | 3 | An existing repository turned into a Sigasi project, the compilation order and recipe, and a simulator compile script written from that recipe |
| Automate | 4 | A coding agent working through MCP, the same engine in CI through the CLI, an agent implementing from a requirements document, and analysis of what the agent produced |
A diagram at the start of the tour shows where this happens in the flow: RTL design and functional verification. Simulation, synthesis, and sign-off stay with the tools you already run.
Faster feedback, because the project is already understood
Every clip rests on the same mechanism. Sigasi builds a semantic model of the whole project, so a mistake shows up while the line is being written instead of after a compile, a simulation run, or a review round. A state machine diagram is read out of the RTL, so it cannot drift from the code. A rename touches every real reference and nothing else. That is where the time goes back to the engineer: fewer loops through downstream tools to find out something the project could have told you directly.
A guardrail for AI-generated RTL
The Automate chapter is the one to watch if your team uses coding agents. A coding agent queries the same project model through MCP, so what it generates is checked against the real design. In the requirements clip, Sigasi reports each error and the agent corrects it before moving on. In the last clip, static analysis separates structural errors from warnings that are cosmetic or intended.
The agent writes the HDL. Sigasi analyzes it and reports what is wrong. The engineer decides what moves forward.
For the lead who has to choose a tool
If you are deciding whether your team should evaluate Sigasi, the tour is an overview you can forward without a sales call. It covers what a single engineer gets in the editor, what a team gets from shared coding rules and project setup, and how the same engine runs in CI and next to coding agents.
What this does not claim
The clips are recorded on example code, not on your project. They show what Sigasi reports.
Try it on your own code
Results on your own code depend on your project and its setup, that’s why, when you want to see the same diagnostics on your own design, we always give you a free setup session with the trial license.
AI can generate HDL fast. Sigasi keeps engineers in control.
2026-10-23