Founder-led Testing for RTL & FPGA Engineers

Design. Verify. Debug RTL with AI.

AI-assisted RTL review for engineers working with Verilog, SystemVerilog, FPGA, and RISC-V designs.

Founder-led testing. AI analysis availability depends on this environment; real RTL examples are available to explore.

illustrative_hazard_example.sv— SystemVerilog
Sample Analysis
// 5-Stage RISC-V Pipeline Hazard Control UnitLine 26:1
1module hazard_unit (
2 input logic [4:0] rs1_ex, rs2_ex,
3 input logic [4:0] rd_mem, rd_wb,
4 input logic reg_write_mem, reg_write_wb,
5 input logic mem_to_reg_ex, // Load in EX
6 output logic [1:0] forward_a_ex, forward_b_ex,
7 output logic stall_if_id
8);
9 // Forwarding logic to EX stage
10 always_comb begin
11 forward_a_ex = 2'b00; forward_b_ex = 2'b00;
12 if (reg_write_mem && (rd_mem != 0) && (rd_mem == rs1_ex))
13 forward_a_ex = 2'b10; // EX hazard
14 // Load-Use Hazard: FIXME unhandled stall!
15 assign stall_if_id = 1'b0; // Bug: Always 0
16endmodule
EDA execution: Not runRISC-V RV32I
Sample Analysis
REVIEW EXAMPLE

Potential Load-Use Data Hazard Detected

The constant stall output needs review in pipeline context. Load destination, dependent decode operands, validity and memory latency are needed to assess load-use handling.

Pipeline Forwarding Checks:
EX/MEM Forwarding MuxNOT VERIFIED
MEM/WB Forwarding MuxNOT VERIFIED
Load-Use Pipeline StallCONTEXT NEEDED
Integration Context Needed:No automatic patch
Identify the load destination and dependent source stages.
Then verify stalls, bubbles, forwarding and instruction validity.
Illustration: not a live result

The Hardware Bottleneck

Digital hardware development is held back by manual verification loops.

Hardware engineers can spend substantial time debugging simulation traces and building repetitive verification infrastructure.

01

Reviewing RTL with Hardware Context

A useful review depends on cycle behavior, signal widths, state ownership, and integration assumptions that may span multiple modules.

02

Painstaking RTL & Simulation Debugging

Tracing load-use hazards, forwarding paths, and reset behavior often requires repeated review of source code and simulation results.

03

Repetitive Testbench & Assertion Writing

Hand-crafting UVM-style stimulus generators, clock drivers, and SVA assertions for every sub-module slows down turn-around times for FPGA and ASIC prototypes.

AI-Native Hardware Engineering Workspace

Review RTL earlier, with hardware-specific context.

SiliconCraft starts with AI-assisted RTL review. Other workflow capabilities are previews or roadmap items.

Digital Hardware Engineering Flow
01

Specification

Extract signals & ISA rules

02

RTL Design

SystemVerilog & Verilog

03

Simulation

Verilator & Icarus logs

04

Verification

Testbenches & Assertions

05

FPGA / ASIC

Vivado synthesis & timing

AI-assisted RTL reasoning — no EDA execution or compliance certification
Explore Full Product Architecture

Built Against Real Hardware Designs

SiliconCraft AI is developed and evaluated using real RTL modules from RISC-V processors, FPGA subsystems, CDC logic, and verification environments.

RISC-V 5-stage CPU

Hazard detection, CSR dependencies and ALU execution from the founder's RV32IM core.

riscv-rv32im-core ↗

Asynchronous FIFO / CDC

Independent read/write clocks, Gray-coded pointer crossings and per-domain reset synchronization.

Asynchronous-FIFO ↗

SystemVerilog Verification

Assertion and testbench sources provide context for FIFO behavior and verification questions. The website does not execute them.

async_fifo_sva.sv ↗
Real RTL Demo

Test the Copilot on Real SystemVerilog Snippets

Explore local snapshots from the founder’s hardware projects. AI analysis requires sign-in and a configured backend.

Founder-led testing. AI analysis availability depends on this environment; real RTL examples are available to explore.

Sign-in required. LLM review only; no EDA tools run. Source is sent to Anthropic. Accepted attempts count toward usage.

Interactive RTL Copilot LaboratoryDemo

Real RTL Examples

Load a local source snapshot, then run analysis when ready.

RISC-V Hazard Unit

Real RTL

Pipeline hazard detection and stall control from a real 5-stage RISC-V core.

riscv-rv32im-core

RISC-VSystemVerilogPipelineHazard Detection

Asynchronous FIFO

Real RTL

Clock-domain crossing FIFO using Gray-coded pointers and synchronizers.

Asynchronous-FIFO

CDCFIFOSystemVerilogClock Domains

RV32 ALU / Execution Logic

Real RTL

Combinational execution logic from a real RV32IM processor.

riscv-rv32im-core

RISC-VALURTLSystemVerilog
RTL Source EditorSystemVerilog · hazard_unit.sv

Ready to inspect hardware module

Click "Analyze RTL Logic" for an AI review of logic, reset behavior, width handling and timing risks. No EDA tools run.

Languages & Planned Tooling

Designed for standard HDLs and open-source/commercial EDA toolchains.

Current focus: Verilog and SystemVerilog review. EDA integrations are roadmap targets; no tool execution or compatibility certification is provided.

SystemVerilogReview input
Early access
VerilogReview input
Early access
RISC-VReview context
Early access
VerilatorSimulator
Roadmap
Icarus VerilogSimulator
Roadmap
VivadoSynthesis & FPGA
Roadmap
Quartus PrimeSynthesis & FPGA
Roadmap
YosysOpen Synthesis
Roadmap
VHDLLanguage
Roadmap
VN
Built by a Hardware EngineerSolo Founder

Why I am building SiliconCraft AI

While developing RISC-V CPU and FPGA projects, I repeatedly traced pipeline hazards, forwarding paths, reset behavior, and RTL bugs across source code and simulation results. SiliconCraft AI grew from the need for careful, hardware-specific RTL and microarchitecture review.

General-purpose AI tools could explain pieces of code, but often lacked the hardware-specific context I needed for RTL review. Repeated debugging loops around pipeline control, load-use hazards, resets, widths, and verification assumptions led me to build a workspace focused on digital hardware reasoning.

Vo Hoang Nguyen•Solo Founder & Hardware Engineer

Build better hardware with an AI engineering copilot.

Explore real RTL examples and help shape AI-assisted review. Founder/internal testing only; the first external engineers are yet to be onboarded.