Linda Vivah (Haviv)

The 4 skills: 🔹 Building & deploying AI applications: AI systems have unpredictable outputs, so the work is learning the building blocks (RAG, evals, agentic workflows, context engineering) and using them to measure, steer, and govern how the system behaves 🔹 Software engineering fundamentals: so much of software engineering is actually trade-offs (cost, speed, scalability, reliability, security). It's making decisions, and if you don't know the trade-offs, it's hard to make those decisions 🔹 Using coding agents: building a mental model of what agents can and can't do, managing context, balancing planning vs execution, and keeping current as the tools evolve 🔹 Shaping the build: participating in the spec decisions themselves, which takes product sense and an understanding of business context and customer goals. Part of the skill is knowing when to spin up an MVP and when to build carefully 🔗 Check out Andrew's article here: nitter.cf/AndrewYNg/status/20883…