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9 articles tagged Engineering Management.
Will Larson analyzes how zero-interest rates shaped 2010s management habits and why those strategies are now obsolete. He outlines the new requirements for CTOs, the decline of middle management, and the critical shift toward business-aligned technical decision-making in the age of AI.
An executive analysis of the transition from hero developer to software architect. Explores the shift from dictation to influence, the critical role of judgment in the AI era, and strategic frameworks for building AI-native systems.
An analysis of how Agentic AI shifts the CTO role from team protector to entrepreneurial leader. Key insights on managing the new bottleneck in QA, securing confidential computing, and maintaining strategic clarity during rapid technological change.
Explores the dual challenge of AI adoption in software engineering: optimizing technical workflows with deterministic tools while managing the psychological change curve and role evolution across development teams.
Engineering leaders are leveraging AI agents to automate meeting preparation, accelerate deployment cycles, and transition teams toward specification-driven development. This analysis explores how optimized CI pipelines, adversarial prompting, and background coding agents are redefining software delivery velocity and managerial efficiency.
An exploration of the shift from deterministic software to probabilistic AI agents. The discussion highlights the necessity of a dedicated supervision layer to ensure business alignment and the evolving role of the human expert in an AI-driven workforce.
Insights on transitioning to tech leadership, mastering delegation, resolving people-centric tech issues, and navigating AI adoption while maintaining team accountability and high performance.
Insights from Mapbox's Engineering Manager on maximizing AI adoption, the shift in code review bottlenecks, and the rigorous operational excellence culture defining modern US tech scale-ups.
An executive analysis of the shift toward AI compute as a compensation component, the rise of harness engineering for agentic workflows, and the operational risks associated with rapid AI adoption in enterprise environments.
