According to AndrewYNg, DeepLearning.AI launched a short course titled Spec-Driven Development with Coding Agents, built in partnership with JetBrains and taught by Paul Everitt, to help developers replace "vibe coding" with rigorous specifications that guide agent-assisted implementation (as reported by DeepLearning.AI and Andrew Ng’s post). According to DeepLearning.AI, the curriculum trains learners to write detailed specs defining mission, tech stack, and roadmap; run iterative plan-implement-validate loops; apply the workflow to new and legacy codebases; and package the process into portable agent skills that work across agents and IDEs. As reported by DeepLearning.AI, business impact includes faster delivery with fewer misalignments, improved governance of large code changes via shared specs, and better cross-team reproducibility—key for enterprises adopting AI coding agents at scale. According to the course page, the approach preserves context across agent sessions, enabling controllable code evolution and reduced rework for engineering leaders integrating LLM coding assistants into SDLC pipelines.