Building with AI
Building with AI
AI is reshaping how software gets built, and managers need a working grasp of it. This section covers leading in the AI era: the AI literacy every EM needs, AI-assisted and AI-native engineering practices, and how to guide a team adopting these tools well — capturing the upside without losing rigor.
In this section
AI Literacy for EMs 🚧 ExpandingThe working mental model of modern AI tooling that every engineering manager needs — enough to make good calls, ask sharp questions, and not get sold a story.
AI-Assisted Engineering 🚧 ExpandingCoding assistants and agents in the everyday dev workflow — what changes, what doesn't, and how to help your team get real leverage instead of faster slop.
Claude Code 101A practical on-ramp for Claude Code — install it, point it at an existing repo with /init, and learn the handful of commands that matter on day one.
AI-Native Engineering 🚧 ExpandingDesigning products and systems with AI at the core — when the model is a first-class component, not a feature bolted on, and what that demands of the team.
BMAD 101A practical on-ramp for BMAD — install it into a project, meet the agent roles, and walk the planning-to-implementation flow that turns 'build me a thing' into a spec you can trust.
Leading AI-Adopting Teams 🚧 ExpandingChange management, trust, and team norms as your engineers adopt AI tools — moving the team forward without mandates, fear, or quiet erosion of craft.