This final cohort office hours session focuses on the practical integration of AI agents into software development workflows. The discussion emphasizes the necessity of balancing deterministic scripts with stochastic AI agent tasks to maintain code quality and system predictability. Key insights include the importance of observability in managing "AFK" (away-from-keyboard) agent loops, the strategic value of human-in-the-loop code reviews, and the role of linting rules as a cost-effective, context-aware mechanism for steering agent behavior. The session also addresses the shift from tactical, ticket-based programming toward strategic engineering, arguing that deep domain knowledge and architectural understanding remain critical as AI assumes more implementation responsibilities. By leveraging tools like Sandcastle and maintaining rigorous documentation, developers can effectively navigate the evolving landscape of AI-assisted coding while mitigating software entropy.
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