New course: Spec-Driven Development with Coding Agents, built in partnership with @jetbrains, and taught by @paulweveritt. Vibe coding is fast, but often produces code that doesn't match what you asked for. This short course teaches you spec-driven development: write a detailed spec defining what to build, and work with your coding agent to implement it. Many of the best developers already build this way. A spec lets you control large code changes with a few words, preserve context across agent sessions, and stay in control as your project grows in complexity. Skills you'll gain: - Write a detailed specification to define your mission, tech stack, and roadmap, giving your agent the context it needs from the start - Plan, implement, and validate features in iterative loops using a spec as your agent's guide - Apply the same repeatable workflow to both new and legacy codebases - Package your workflow into a portable agent skill that works across agents and IDEs Join and write specs that keep your coding agent on track! https://t.co/hI4GwuvhtN
Andrew Ng Launches Course to Replace Vibe Coding With Spec-Driven Development
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Andrew Ng launched a short course on Spec-Driven Development (SDD) in partnership with JetBrains. The curriculum teaches a disciplined alternative to vibe coding (relying on intuitive, unstructured prompts) by using markdown-based specifications to guide AI agents. This approach provides agents with a project constitution to ensure high intent fidelity.
As agentic coding moves into production, simple prompting often fails to maintain context across sessions. SDD addresses this by formalizing the human-in-the-loop role, ensuring agents follow a technical specification rather than making isolated changes. This reduces cognitive debt and keeps the agent aligned as complexity grows.
You can enroll to learn a repeatable plan-implement-verify workflow for new and legacy codebases. The lessons cover creating portable agent skills (reusable capabilities packaged for AI agents) that work across different IDEs. The course is available for free on the DeepLearning.AI platform.
Andrew Ng
@AndrewYNg
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