AI case study

Woven by ToyotaCode refactoring

Fixing 60,000 compliance errors per module bottlenecked scarce engineers. Now, three AI agents draft transparent fixes for human approval.

Published|9 months ago

Key results

Generation Success Rate
97.1%
Errors Auto-Corrected
81.5%

Result highlights

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The story

Context

A mobility technology developer building autonomous driving and advanced driver assistance systems that must ensure all embedded control software complies with stringent Motor Industry Software Reliability Association (MISRA) coding standards.

Challenge

MISRA guidelines span hundreds of pages, requiring specialized C/C++ engineers who are increasingly scarce. Checking and manually correcting...

Solution
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Scope & timeline

  • 1-day creation time for GitHub integration demo
  • 1-day implementation time for VS Code extension

Quotes

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The company

Woven by Toyota logo

Woven by Toyota

woven.toyota

Mobility software and automated driving systems developer for Toyota.

IndustryAutomotive & Mobility
LocationTokyo, Japan
Employees1K-5K
Founded2021

The vendor

Enterprise software, cloud infrastructure, and consumer electronics platform.

IndustrySoftware & Platforms
LocationRedmond, WA, USA
Employees100K+
Founded1975

The implementation partner

Zen Architects logo

Zen Architects

zenarchitects.co.jp
Role in this case study

Provided architectural support for Woven by Toyota's Azure OpenAI and multi-agent system build.

IndustryTechnology
LocationTokyo, Japan
Employees1-10
Founded2007

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