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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