Andrew Ng on AI Engineering: Weak Fundamentals Lead to Bad Agent Trade-offs
DeepLearningAI · x · 2026-08-29
This week's The Batch from DeepLearning.AI highlights:
- Andrew Ng's take: Without strong software engineering fundamentals, coding agents often make poor trade-offs in latency, cost, and reliability. Developers need full-stack skills to steer agents effectively.
- Model updates: GLM-5.3 brings cybersecurity capabilities to open weights; DeepSeek-V4-Pro ships with an open source harness; OpenAI, Google, and Nvidia improve throughput for real-time interaction.
- Research: Self-GC uses an LLM to prune long contexts more effectively.
Related event: Andrew Ng: Solid Software Engineering Still Matters in the Coding Agent Era(4 posts)→
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