Dev Interrupted AI is the future of the SDLC
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Jun 10, 2025 Dan Lines, co-founder of LinearB, joins to discuss the transformative potential of AI in software development. He reveals how intelligent automation can save up to 75 days of work in just six months. Dan emphasizes the importance of programmatic rules to safely integrate AI, detailing his company's gitStream technology that optimizes code reviews and automates low-risk merges. They also explore future AI workflows, envisioning a world where AI handles everything from design to deployment, enhancing developer control and productivity.
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AI Adoption Lacks Cohesive Strategy
- Many engineering leaders buy AI tools due to pressure rather than a cohesive strategy.
- Without coordination, AI adoption may not improve productivity as expected.
Control AI Use via Policy Rules
- Use programmatic rules to control AI use across development safely.
- Tailor AI powers by service risk level, enabling human review or safe merges as appropriate.
AI Future in SDLC Workflows
- AI in software development is evolving beyond simple code assistants to automated workflows.
- Future AI may autonomously handle design, coding, review, and deployment, making control essential.