Coding Agent Workflow Best Practices
Ng's advice helps developers avoid costly ineffective autonomous coding sessions by implementing proper verification and testing regimes.
Andrew Ng outlined the real workflows used by top AI practitioners for coding agents. The approach emphasizes skilled human judgment and highly iterative planning over autonomous operation. Five foundational skills for directing agent workflow and calibrating autonomy are detailed in Ng's letter. Most time should be spent on architecture and writing specs rather than individual code lines.
🛑 Stop letting your coding agents run autonomously for hours. It is costly and often ineffective. Andrew Ng just broke down the real workflows top AI practitioners use. The secret is skilled human judgment, highly iterative planning, and frequent output verification. 🧵👇 Most of your time can now be spent on architecture and writing specs, not writing individual lines of code. You must learn to direct agents’ workflow, calibrate their autonomy, and build robust testing regimes. Read Andrew's full letter to study the five foundational skills of using coding agent hubs.la/Q04wPQ6v0 XZd #DeepLearningAI g #AIEngineering i #CodingAgents n #DeveloperTools ols 💬 0 🔄 0 ❤️ 0 👀 381 ⚡