im-hashim

im-hashim / automotive-claude-code-agents

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Automotive software engineering is one of the most complex and regulated domains in the world. Engineers juggle **ISO 26262 functional safety**, **AUTOSAR architectures**, **MISRA compliance**, **cybersecurity standards**, and **real-time embedded constraints** -- all while shipping on aggressive timelines.

17
203
100% credibility
Found Mar 27, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A pack of specialized AI helpers, skills, and quick commands for automotive engineers that safely enhances AI coding workspaces with domain expertise.

How It Works

1
🔍 Discover the Helper Pack

You stumble upon this collection of smart helpers while searching for ways to speed up your car engineering projects.

2
👀 Preview What's Inside

You check a quick preview to see exactly what handy tools and experts it adds to your workspace, without changing anything yet.

3
✅ Add It Safely

With one simple action, you add these automotive experts to your AI workspace—they fit right in without touching your existing setup.

4
🧑‍💻 Try Your First Expert

You ask one of the new specialists, like the safety checker, to review your design idea, and it gives spot-on advice instantly.

5
🚀 Tackle Real Work

Now you use commands and teams of experts for tasks like planning car controls or checking standards, saving hours of research.

🎉 Your Projects Fly

Your automotive projects move faster with expert guidance always ready, and you can easily check or remove it anytime.

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AI-Generated Review

What is automotive-claude-code-agents?

This GitHub repo packs Claude Code with 75+ automotive-specific skills, 39 AI agents, and 33 slash commands tailored for autosar architectures, ISO 26262 safety, and cybersecurity standards. It solves the nightmare of juggling regulated domains like ADAS perception, battery management, and cloud fleet analytics by delivering instant, standards-compliant guidance right in your coding workflow—no research rabbit holes. Clone, run the append-safe installer, and query agents like "design AUTOSAR Adaptive service for camera fusion" or "/automotive autosar-swc-scaffold" in your existing ~/.claude setup.

Why is it gaining traction?

Unlike generic AI tools, it namespaces everything automotive- prefixed, preserving your workspace while adding domain depth across 14 areas like automotive cybersecurity github and github automotive grade linux. Developers hook on the zero-config install, Docker Compose for sims (CAN, K8s), and production-ready hooks for MISRA checks—turning hours of spec hunting into minutes. Early adopters praise the clean uninstall and manifest tracking for enterprise safety.

Who should use this?

Automotive software engineers at OEMs or suppliers tackling autosar, functional safety audits, or EV BMS algorithms. Ideal for ADAS planners debugging trajectories, calibration experts tuning ECUs, or cloud devs building AWS IoT fleets—especially if you're in automotive software development roles eyeing automotive software strategies 2026 amid tight timelines.

Verdict

Worth starring for awesome automotive github fans; at 17 stars and 1.0% credibility, it's alpha but polished with full docs, tests, and MIT license. Try if you're in automotive software engineering—it accelerates automotive software testing without lock-in, though wait for more battle-tested updates.

(198 words)

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