Allan Leinwand, CTO at Webflow, joins me to explore how AI is reshaping engineering workflows, from code generation to team structure. We dig into how AI tools are boosting productivity, enabling faster onboarding for junior engineers, and freeing up senior talent to focus on distributed systems and business-critical challenges. Allan shares real examples of automation in action, how his team measures success, and why the future of software engineering will be even more dynamic than its past.

Key Takeaways

• AI-powered tools like code generation and multimodal debugging are changing how engineers interact with code

• Junior engineers can now ramp up and make meaningful contributions faster than ever before

• Senior engineers are moving closer to the business by tackling architectural and scalability problems

• Automation is cutting down repetitive tasks, increasing flow time, and boosting ship rates

• AI is influencing not just engineering, but also product workflows and even how methodologies like Scrum might evolve

Timestamped Highlights

01:45 – Inside Webflow’s AI-powered engineering stack and tools every developer gets

03:57 – How AI is shifting the engineer–code relationship from typing to prompting and reviewing

07:15 – Why junior engineers are thriving in the age of AI

13:37 – Senior engineers focusing on distributed systems and architectural challenges

16:15 – Automating “paper cut” bug fixes with AI agents and background processes

21:09 – AI’s role in expanding software creation to non-engineers and influencing product workflows

Quote of the Episode

“The relationship with code is changing. We can talk to the code base, use AI to fix bugs, and still have humans in the loop to make sure it’s the right answer.” — Allan Leinwand

Resources Mentioned

• Webflow — https://webflow.com

• Webflow Forums — https://forum.webflow.com

Call to Action

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