@seclink: Developers are shifting from "one-shot prompts" to "agentic loops"—where AI like Anthropic's Claude sets its own goals, uses tools to execute actions, observes results, and iterates until the task succeeds. Boris Chern, developer of Claude Code...
Summary
Developers are moving from one-shot prompts to an 'agentic loop' model, letting AI autonomously set goals and iteratively execute tasks using tools. Claude Code developer Boris Cherny has abandoned traditional IDEs entirely, now running hundreds of agents to monitor issues and merge PRs—even doing so from his phone.
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Cached at: 06/10/26, 01:50 PM
Developers are shifting from “one-shot prompts” to “agentic loops”—where AI models like Anthropic’s Claude set their own goals, use tools to execute actions, observe results, and iterate until tasks succeed.
Claude Code developer Boris Cherny has completely abandoned the traditional integrated development environment (IDE), instead running hundreds of such agents to monitor issues and merge up to 150 pull requests (PRs)—even doing all this from his phone.
Anthropic’s free video resources (such as Cherny’s 28-minute demo and a 24-minute “Prompting Primer” workshop) teach these techniques even better than paid courses, though critics note that without proper safeguards, this approach can carry risks like high token costs.
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@FinanceYF5: Anthropic's Boris Cherny points out that programming is moving towards a higher level of abstraction. A year ago, developers' workflow was to first write code in an IDE, then prompt multiple Claude instances in parallel. Now, the workflow has evolved to writing loops to call Claude, and letting it make autonomous decisions...
Anthropic's Boris Cherny points out that programming is moving towards a higher level of abstraction, with workflows shifting from manually writing code to letting Claude make autonomous decisions, and predicts that the next paradigm shift will arrive this year.
@seclink: Last week, Peter Steinberger wrote about the workflow Boris Cherny adopted at Anthropic: using Claude Code to run looped tasks, such as monitoring Pull Requests (PRs) or scanning GitHub, among others...
Boris Cherny at Anthropic uses Claude Code to run looped tasks, automating workflows like PR monitoring and GitHub scanning, allowing him to orchestrate dozens of tasks from just his phone. Anthropic reports that over 80% of its production code is now written by Claude, showcasing the potential of agentic coding.
@Mikocrypto11: Boris, the creator of Claude Code, shared a crucial shift: "I no longer write prompts for Claude. I write loops and let the loops do the work. My job is to write loops." This is actually where many people get stuck with Claude Code...
Boris, the creator of Claude Code, shares a crucial shift: moving from writing prompts to writing loops, letting the model iteratively progress tasks in a repeatable loop instead of providing a one-time answer.
@seclink: Share a particularly useful CLAUDE.md. Spec Driven Build system prompt - Let Claude Code / Gemini CLI design first, then code, driving AI development through the three phases: Requirements → Design → Tasks.
Share a Spec Driven Build system prompt for Claude Code and Gemini CLI, letting AI follow a three-phase development process of Requirements → Design → Tasks, designing first before coding to improve code quality.
@cellinlab: https://x.com/cellinlab/status/2064144608242679822
This article introduces the concept of Loop Engineering — instead of directly writing prompts for AI agents, it designs a system (loop) that recursively lets the agent iterate on tasks until completion. The article provides a detailed comparison of how Claude Code and Codex implement five building blocks: automations, worktrees, skills, sub-agents, etc. It suggests this could be the future trend of collaborating with coding agents, but also warns about token costs and AI slop issues.