TASKING, Infineon, and DLR Earn Top AWS Hackathon Award for Automotive AI Workflow

By Chad Cox

Production Editor

Embedded Computing Design

August 24, 2026

News

Image Credit: TASKING

A team from TASKING, Infineon, and the German Aerospace Center (DLR) earned the top award at the AWS "Accelerating the V-Cycle with Agentic AI" hackathon. The group demonstrated a governed AI-assisted engineering workflow that reimagines software-defined vehicle development.

According to the press release, the working prototype received the highest score for OEM purchase readiness proving an innovative move to connecting trusted semiconductor products and knowledge with implementation, compliance, testing, and verification across the automotive V-cycle.

“To meet the increasingly complex requirements demanded by software-defined vehicles, we created a prototype that shows how AI can orchestrate engineering tasks without sacrificing the rigor or essential human judgment required for safety-critical development,” said Travis Bone, Principal Solutions Architect, TASKING, who created the prototype together with TASKING Research Engineer Felix Martin, DLR graduate student Pablo Jahnen and Simon Achatz, Principal Engineer and Team Lead AI Systems Automotive at Infineon. “By combining TASKING’s compliance and verification technologies with trusted semiconductor products and knowledge from Infineon, we showed how engineering teams can reduce manual handoffs, accelerate verification and generate the evidence needed throughout the V-cycle while keeping engineers firmly in control. This win validates our commitment to the future of safety-critical software development.” 

The prototype utilized AWS Kiro AI agents to manage engineering protocols across the software development lifecycle, connecting trusted Infineon device specifications, product updates and errors with implementation, TASKING coding-standard analysis, automated unit-test generation, virtual ECU execution, structural coverage analysis, and evidence reporting.

Promoting the TASKING AI Framework, the team evaluated results and refined code or tests until coding-standard findings, requirements coverage, and structural coverage were resolved or appropriately documented.

“As judges, we look for solutions that pair technical innovation with real-world impact,” said Stefano Marzani, Worldwide Head of Emerging Technologies, Automotive and Manufacturing at AWS. “The winning project at the Munich Hackathon stood out because it paired a clear understanding of the challenges facing software-defined vehicles with the ability to bring the right technologies together into a single, executable workflow that can actually solve them.”   

Members of the team include Travis Bone (TASKING), Simon Achatz (Infineon), Felix Martin (TASKING), and
Pablo Jahnen (German Aerospace Center).

For more information, visit tasking.com/compile-debug-test/.

Chad Cox is the Production Editor at Embedded Computing Design. His responsibilities are centered around content creation, writing and editing, and article research and development. Chad covers industry news and events and is known to interact with various industrial leaders via on-premise visits and online interviews. He is responsible for the digital footprint and dissemination of news via social media posts, advertising creation and the production of newsletters including the Embedded Computing Design’s Daily.

He is well versed in many facets of industrial computing including Edge AI, IoT, Processing, Security, Open Source, and more.

Chad graduated from the University of Cincinnati with a B.A. in Cultural and Analytical Literature and holds a master’s in education.

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