Dev Interrupted The fundamentals of agent-driven software workflows
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Jul 8, 2025 Explore the transformative shift from AI coding assistants to intelligent, agentic systems. Discover why just buying tools isn't enough for productivity gains, as Dan and Ben emphasize the importance of cohesive knowledge management and modernized infrastructure. They discuss engineer sentiments towards AI and the need for a robust strategy to integrate AI into development workflows effectively. With insights from engineering leaders, the conversation highlights the future of orchestrated systems where AI agents enhance the entire software delivery lifecycle.
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Systems Trump Tool Buying
- Buying AI tools alone won't deliver productivity gains without the right systems and infrastructure.
- Successful AI adoption depends more on building better systems than on better prompting.
Unify Knowledge for AI Success
- Unify and centralize your engineering knowledge to enable AI agents with complete context.
- Fragmented or siloed data leads AI to poor decisions and hinders adoption.
Linear B's Integrated AI Review
- Linear B connects multiple tools like Jira and Slack to provide AI with critical context for code reviews.
- This integration exemplifies how AI benefits when it accesses unified and connected data.