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Stop Prompting, Start Building Loops: Goals, Automations, and Long-Running AI Workflows The script discusses shifting from repeatedly prompting LLMs to using long-running “loops” and automations, inspired by viral posts from the creator of Claude Code and an X post by Lance Martin following the release of Fable 5. It outlines a spectrum of loop complexity, from experiment-driven systems like Andrej Karpathy’s Auto Research and ideas like parameter golf, to practical features in Claude Code and Codex such as “goal” (a task that runs autonomously until completion) and “/loop” (interval-based runs like every five minutes). The speaker explains using goals for multi-day tasks like building parsers with verification via tests, and using IDE automations to handle repetitive work such as triaging a YouTube inbox into a Linear board, generating project docs, scanning for vulnerabilities, and creating memory-like daily summaries tied to continual learning. 00:00 Why Loops Beat Prompts 00:43 Loops Spectrum and Examples 01:18 Goals Long Running Agents 01:56 Claude Code Slash Loop 03:34 When to Use Goal vs Loop 04:18 IDE Automations Tab 05:11 Daily Inbox to Linear 06:00 Security Scans and Memory 06:44 Continual Learning Future 07:49 Human in the Loop Tips 08:12 Wrap Up and Questions 08:45 Like Subscribe Outro
Technical content at the intersection of AI and development. Building with AI agents, Claude Code, and modern dev tools - then showing you exactly how it works.
