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Cognition is partnering with Mercedes-Benz to accelerate software engineering across their global engineering teams, representing one of the most extensive deployments of AI software engineering in the automotive industry to date. Scott Wu sat down with Katrin Lehmann, Mercedes-Benz CIO, to discuss the work:

Cognition

190,371 subscribers

156,232 次观看 • 6 个月前 •via X (Twitter)

科学技术汽车交通

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9 条评论

Cognition 的头像

Cognition6 个月前

Read more about the partnership:

Joe Lonsdale 的头像

Joe Lonsdale6 个月前

@MercedesBenz @ScottWu46 🔥

Ryan Junejo 的头像

Ryan Junejo6 个月前

@MercedesBenz @ScottWu46 scott looking fly

Dangcing Chan 的头像

Dangcing Chan6 个月前

@MercedesBenz @ScottWu46 Nice to see Mercedes doubling down on AI dev tools — curious how they’re handling legacy systems alongside new AI workflows. Katrin’s been sharp on this stuff for years.

Ben 的头像

Ben6 个月前

@MercedesBenz @ScottWu46 🔥🔥

hanzi 的头像

hanzi6 个月前

@MercedesBenz @ScottWu46 The underrated part is deployment shape: agents become useful when they’re wired into existing review, CI, and ownership loops, not dropped in as a separate IDE. Curious whether Mercedes is measuring acceptance rate, cycle time, or defect escapes first.

Taycon AI | Agents, Automation & AI Ops 的头像

Taycon AI | Agents, Automation & AI Ops6 个月前

@MercedesBenz @ScottWu46 Automotive engineering at Mercedes scale is a serious proving ground for AI software engineering. Excited to see how this plays out.

Doxy 的头像

Doxy6 个月前

@MercedesBenz @ScottWu46 mercedes betting on ai for engineering is bold but hope they don't ignore legacy code debt just ask if the model can actually fix that 2018

Inflectiv AI ⧉ 的头像

Inflectiv AI ⧉6 个月前

@MercedesBenz @ScottWu46 🔥🔥

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