Annatar.md

THIS "GETTING STARTED WITH LOOPS" DOC TURNS CLAUDE INTO AN EMPLOYEE THAT SHIPS WHILE YOU SLEEP spoiler: prompt engineering didn't survive the 4 loop types, from you-drive to fully hands-off: > turn-based - 25% autonomy. one task per round, control returns to you. best for exploration when requirements are unclear > goal-based - 70%. you define "done" with /goal and a separate evaluator keeps sending Claude back until it clears the bar. tests passing, target scores, bugs cleared > time-based - 60%. /loop fires on a schedule: check the PR every 5 minutes, address review comments, fix failing CI > proactive - 95%. an event fires, a router dispatches child agents in parallel, a review model oversees the output. no human online at all the advice in it that matters most: loop quality depends on system quality, and tokens are the real cost knowing the 4 types is level one this article is the full 14-step roadmap from typing prompts by hand to designing loops - /goal, SKILL.md, worktrees, MCP, all of it start climbing 👇

THE ANATOMY OF A LOOP RUNNING WHILE YOU SLEEP an anthropic engineer runs autonomous code cycles on a closed laptop using a five-file folder this loop architecture opens pull requests and runs tests without a single chat prompt: > contract.md - defines the shift rules and operational boundaries > schedule.yml - triggers the cron events to launch the next cycle > rubrics/ - stores the graders to evaluate output quality before staging > state/ - logs active checkpoints to recover from system crashes the window to run Fable 5 reasoning loops under the $20 subscription closes on July 12th build your autonomous pipelines now before it shifts to expensive API billing grab the full folder blueprint below 👇

I’m incredibly excited to share this: MiniMax has just closed a new $2B funding round. 🚀 At the same time, our CEO, IO, shared three long-term commitments with the team: • No salary until we achieve AGI. • Over the next four years, he will dedicate shares equivalent to 4% of the company’s total equity from his personal holdings to reward employees who are building MiniMax for the long term. • Another 1% will be committed to supporting the open-source community. The funding is exciting. But what excites me even more is what it represents: a long-term commitment to AGI, to our people, and to the open-source ecosystem. We’re living through one of the most exciting moments in the history of AI, and we’re just getting started. If you’re passionate about frontier AI, open source, and building the future, we’d love to build with you. Intelligence with Everyone. 🚀