Imagine saving as much as 75 days of work within a six-month period, all through intelligent automation.

Building on last week’s discussion about the critical shift from passive metrics to active productivity, host Ben Lloyd Pearson and LinearB co-founder Dan Lines now look forward to realities like this: 19% cycle time reduction and reclaiming significant engineering time. They move beyond common narratives surrounding AI to present actionable success stories and strategic approaches for engineering leaders seeking tangible results from their AI initiatives. 

This concluding episode tackles how to safely and effectively adopt AI across your software development lifecycle. Dan explains the necessity of programmatic rules and control, detailing how LinearB's gitStream technology empowers teams to define precisely when, where, and for whom AI operates. This ranges from AI-assisted code reviews with human oversight for critical services, to enabling senior developers to make judgment calls, and even automating merges for low-risk changes. Ben and Dan also explore the exciting future of agentic AI workflows, where AI agents could manage tasks from design and Jira story creation to coding and deployment, making developer control even more critical. 

Check out:

• The DevEx guide to AI-driven software development
• Survey: Discover Your AI Collaboration Style

Follow the hosts:

• Follow Ben
• Follow Andrew

Referenced in today's show:

• The Pentagon launched a military-grade Y Combinator, signaling that defense tech is officially cool on college campuses
• Japan Post launches 'digital address' system
• Reddit sues Anthropic for scraping
• My AI Skeptic Friends Are All Nuts

Support the show:

• Subscribe to our Substack
• Leave us a review
• Subscribe on YouTube
• Follow us on Twitter or LinkedIn

Offers:

• Learn about Continuous Merge with gitStream
• Get your DORA Metrics free forever