DeepLearning.AI founder Andrew Ng publishes a spec-first coding-agent workflow
DeepLearning.AI's founder recommends testing, architectural review and calibrated autonomy instead of leaving coding agents unattended.
By RuntimeWire Staff · Published
Primary source: DeepLearning.AI on X
Why it matters
Coding agents shift scarce engineering skill toward specifications, architecture and review. Ng gives teams a practical framework for deciding how much autonomy to grant and where developers must verify the result.
Andrew Ng, founder of DeepLearning.AI, is urging developers to treat coding agents as fast collaborators whose work requires repeated verification, rather than unattended systems that can absorb a specification and safely return production software.…
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