AI Engineering Skills Map Software Fundamentals
Coding agents can write functional code, but relying on "vibe coding" without knowing core software ...
The guide helps developers in ASEAN build production-ready applications by mastering fundamentals that AI coding agents often overlook.
DeepLearningAI published Pillar 2 of the AI Engineering Skills Map focusing on software engineering fundamentals. The guide covers building full-stack applications, data management, system architecture design, security, reliability, and production scaling. Andrew Ng authored the breakdown to help developers bridge the gap between coding agents and core software engineering.
Coding agents can write functional code, but relying on "vibe coding" without knowing core software ...
Coding agents can write functional code, but relying on "vibe coding" without knowing core software engineering fundamentals can compromise long-term system reliability, security, and extensibility. We’ve mapped out Pillar 2 of the AI Engineering Skills Map: Software Engineering Fundamentals to help you bridge the gap. To build production-ready full-stack applications, focus on building these foundational skills: 🌐 Building Full-Stack Applications 🗄️ Managing Data 📐 Designing System Architectures 🛡️ Making Systems Secure and Reliable 🚀 Scaling and Operating in Production Master these to steer your agents effectively. Read the breakdown from Andrew Ng h hubs.la/Q04wbD4h0 8 #AIEngineering e #SoftwareArchitecture c #BuildWithAI ithAI 💬 1 🔄 0 ❤️ 6 👀 721 📊 3 ⚡
