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Iteration Velocity is the Key to Engineering Success | Vercel’s Malte Ubl

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Manage episode 442933820 series 2844204
Content provided by LinearB. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by LinearB or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

This week, our host Dan Lines chats with Malte Ubl, CTO of Vercel, about why iteration speed is a game-changer for teams trying to deliver more efficiently. Malte shares how accelerating the development cycle and embracing platform engineering can supercharge productivity, helping teams ship faster and innovate more effectively.

We explore what it really means to streamline workflows, reduce bottlenecks, and create an environment where developers can focus on what they do best—building great products. Malte also gives us a behind-the-scenes look at how engineering strategies are evolving to keep up with the ever-growing demands.

Topics:

  • 01:14 How do you see platform engineering changing the way modern software engineering functions?
  • 04:52 Decentralized vs. centralized teams?
  • 11:40 How Vercel is using AI
  • 13:30 All about AI SDKs
  • 20:41 How should platform engineering teams should be using AI?
  • 28:02 Power struggles between high level ICs and a high level managers?
  • 30:10 Key factors to focus on when optimizing AI applications?
  • 35:11 Advice for other CTOs or engineering leaders

Links:

OFFERS

  • Start Free Trial: Get started with LinearB's AI productivity platform for free.
  • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

LEARN ABOUT LINEARB

  • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
  • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
  • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
  • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.
  continue reading

256 episodes

Artwork
iconShare
 
Manage episode 442933820 series 2844204
Content provided by LinearB. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by LinearB or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

This week, our host Dan Lines chats with Malte Ubl, CTO of Vercel, about why iteration speed is a game-changer for teams trying to deliver more efficiently. Malte shares how accelerating the development cycle and embracing platform engineering can supercharge productivity, helping teams ship faster and innovate more effectively.

We explore what it really means to streamline workflows, reduce bottlenecks, and create an environment where developers can focus on what they do best—building great products. Malte also gives us a behind-the-scenes look at how engineering strategies are evolving to keep up with the ever-growing demands.

Topics:

  • 01:14 How do you see platform engineering changing the way modern software engineering functions?
  • 04:52 Decentralized vs. centralized teams?
  • 11:40 How Vercel is using AI
  • 13:30 All about AI SDKs
  • 20:41 How should platform engineering teams should be using AI?
  • 28:02 Power struggles between high level ICs and a high level managers?
  • 30:10 Key factors to focus on when optimizing AI applications?
  • 35:11 Advice for other CTOs or engineering leaders

Links:

OFFERS

  • Start Free Trial: Get started with LinearB's AI productivity platform for free.
  • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

LEARN ABOUT LINEARB

  • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
  • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
  • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
  • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.
  continue reading

256 episodes

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