blackmesalabs

blackmesalabs / eda_ai_assist

Public

AI assisted Shell, aka "Ash". Wraps around your existing shell and brings AI-LLM to the CLI for analyzing EDA files.

27
3
100% credibility
Found Feb 09, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A command-line shell wrapper that integrates AI to analyze Electronic Design Automation (EDA) files using natural-language prompts.

How It Works

1
🔍 Discover Ash

You hear about Ash, a helpful AI sidekick that makes sense of tricky engineering design files right in your command line.

2
📥 Get it ready

Download the simple files to your computer and prepare them with a quick helper tool.

3
🔐 Link the smart brain

Set up a private passcode so Ash can safely talk to the AI thinking service.

4
🚀 Launch the magic shell

Start the enhanced command line where Ash listens for your questions.

5
💭 Ask in plain words

Type everyday questions like 'explain this design file' and watch Ash analyze it instantly.

6
📊 Get clear answers

Ash delivers easy-to-understand explanations, summaries, or insights about your files.

🎉 Master your designs

You now effortlessly understand complex engineering files, speeding up your work like a pro.

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AI-Generated Review

What is eda_ai_assist?

eda_ai_assist, aka Ash, is an AI-assisted shell that wraps around your existing Linux, UNIX, or Windows PowerShell terminal, bringing AI-LLM capabilities like Gemini directly to the CLI for analyzing EDA files. Hardware engineers type natural-language prompts such as "summarize worst setup timing violations in post_route_timing.rpt" or "analyze simulation1.vcd for fault_int assertions," and it auto-detects input files, uploads them securely, and outputs results—or even writes to specified files. Built in Python with Google GenAI, it emphasizes safe, auditable operation in multi-user setups.

Why is it gaining traction?

It stands out as an EDA AI assistant with secure encrypted tokens for team sharing, per-user logging of queries and bandwidth, and fallback credential paths, avoiding raw API key sprawl. The shell wrapper adds history, tab completion, and bang expansion around AI calls, making it feel like a seamless CLI upgrade without disrupting workflows. Predictable behavior, offline config, and easy one-shot or interactive modes hook devs tired of manual EDA report parsing.

Who should use this?

ASIC/FPGA engineers slogging through timing reports, SDCs, or VCDs in tools like Synopsys or Cadence. Team leads in shared environments needing controlled AI-LLM access for analyzing large artifacts. Hardware verification folks scripting AI queries in build pipelines.

Verdict

Promising niche EDA AI assistant for Python-savvy hardware teams, with solid cross-platform setup docs and GPLv3 openness—but at 20 stars and 1.0% credibility score, it's early-stage and lightly tested. Prototype it for your next timing debug if secure CLI AI fits; otherwise, wait for more adoption.

(178 words)

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