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6 entries

Keyword: boris-cherny
  • X post:Boris Cherny

    Boris Cherny on Prompting: Treat Claude Like a Coworker

    Boris Cherny expresses surprise at people being astonished by his simple prompting style for Claude. He argues that most tasks do not require rigid scaffolding; users should simply set a goal and speak to the model as they would to a coworker.

    5.8kbookmarks603.1kviews

    AI & LLMs· Opinion

  • X post:Shoopy

    Claude Code: Why Manual Confirmation Fails and How Anthropic Redesigned Safety

    Boris Cherny, creator of Anthropic's Claude Code, revealed that users approved destructive commands almost every time during tests. Anthropic now relies on an isolated second model with zero conversation context and neuron-level monitoring to enforce security.

    131bookmarks60.4kviews

    AI & LLMs· News

  • X post:Mr. Buzzoni

    Claude Loop Engineering: Structured Agent Loops for Autonomous Overnight Runs

    Mr. Buzzoni (@polydao) outlines a file-based harness and directory architecture for Claude Code that enables AI agents to execute overnight tasks autonomously. Using clear contracts, verification rubrics, state tracking, and documented receipts, the setup is designed to run predictably without manual night-time interventions.

    373bookmarks29.7kviews

    AI & LLMs· Resource

  • Link:Fredrik Falk

    Anthropic Splits Chat and Agent Billing: The True Cost of AI Agents

    Anthropic has updated its subscription model to separate interactive chat from Agent SDK consumption. Fredrik Falk examines the economics behind the move: while per-token costs continue to drop, the multi-step context re-processing required by autonomous agents is driving enterprise inference budgets rapidly upward.

    AI & LLMs· Opinion

  • X post:vartekx

    Context Engineering: Moving Beyond Prompts to Continuous Agent Loops

    In an X post and guide, vartekx examines the shift from prompt engineering to context and loop engineering. Drawing on frameworks by Andrej Karpathy and Boris Cherny as well as an Anthropic engineer demo, the author details how disciplined context management powers persistent, self-healing AI agents.

    59bookmarks6.5kviews

    AI & LLMs· Resource

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