Andrew Ng: Mastering Coding Agents Is a Core AI Skill — Plus GLM-5.3-Flash and a 397B Legal Model
DeepLearningAI · x · 2026-09-05
Highlights from this week's The Batch newsletter:
- Coding agents as a key AI engineering skill: Andrew Ng argues that steering coding agents — for both code and non-code tasks like data analysis or ops — is evolving faster than any other top-level AI skill and requires continuous experimentation. After interviewing dozens of top AI engineers, his team found a consistent high-level workflow:
- Planning: brainstorm (research, experiments, understanding the codebase), write a spec (requirements, design, architecture), generate an execution plan, then interrogate assumptions and check for security and overengineering.
- Execution: balance agent autonomy with human oversight, verifying output via automated and/or human checks.
- Deployment & monitoring: deploy with CI/CD gates or human gates, then monitor.
- Enterprise privacy updates: OpenAI and Anthropic rolled out new enterprise data retention policies.
- GLM-5.3-Flash: Zai released a cost-efficient, open-weights multimodal model.
- Ox Alpha: Thomson Reuters launched a 397B-parameter model trained specifically for law, finance, and news work.
Related event: Andrew Ng: Driving Coding Agents Is a Core AI Engineering Skill(3 posts)→
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