Andrew Ng's The Batch: coding agent workflows, enterprise data policies, GLM-5.3-Flash
JMannhart · x · 2026-09-05
Highlights from DeepLearningAI's The Batch:
- Andrew Ng argues steering coding agents is a fast-evolving core AI engineering skill, distilling a workflow from interviews with top AI engineers: planning (brainstorming, specs, execution plans), execution (build/test/verify with calibrated agent autonomy), deployment and monitoring.
- OpenAI and Anthropic unveiled new enterprise data retention policies.
- Zai released GLM-5.3-Flash, a cost-efficient open-weights multimodal model.
- Thomson Reuters launched a 397B-parameter model trained for law, finance, and news.
More from coding & agent
- A Multi-Model "Plan-Implement-Review" Workflow Wired Through Claude Code — dr_cintas · 2026-09-05
- Viral dev joke: AI has solved writing code, not meetings, requirements or DNS — StewartalsopIII · 2026-09-05
- Git worktree workflow for running multiple branches and coding agents in parallel — JeremyCMorgan · 2026-09-05
- One dev's agent idea-exploration workspace: git worktrees plus append-only memory files — viksit · 2026-09-05
- Factory partners with Carahsoft to bring autonomous coding agents to US government — maddiehfaulkner · 2026-09-05
- Open-source Baton lets two AI agents on different platforms talk via signed HTTP relay — seanmcdonaldxyz · 2026-09-05