Static

Claude Code now reads AGENTS.md if there is no Claude.md

First reported by Code.claude ·

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Why you might care

Developers can now configure project-specific instructions using AGENTS.md when CLAUDE.md is absent.

What happened

Claude Code has introduced a new feature that allows it to read AGENTS.md files if a project lacks a CLAUDE.md file. This change, detailed in their latest changelog, enables developers to provide project instructions using a different configuration file. The update also includes several fixes for issues related to session handling, API key management, update checks, plugin installations, and tool functionalities such as Grep, Glob, Write, and Edit. Specifically, it addresses problems with hanging sessions, malformed configuration values, incorrect error reporting, and unexpected tool behavior. The update aims to improve the overall stability and user experience of the Claude Code development platform.

What it means

This update signifies a subtle but important shift in how Claude Code handles project-specific configurations and agent instructions. By allowing AGENTS.md to be read in the absence of CLAUDE.md, Anthropic is providing more flexibility for developers to define agent behavior and project guidance. This could lead to more diverse agent implementations and potentially a more modular approach to managing agent configurations across different projects. The broader impact includes making it easier for teams to adopt Claude Code by offering an alternative file structure that might better fit their existing workflows.

The numerous bug fixes across session management, tool execution, and plugin handling indicate a maturing platform that is actively addressing stability and usability concerns. These improvements, particularly around error reporting and graceful failure for tools like Grep and Write, will reduce developer friction and build greater confidence in the platform's reliability. Users can expect fewer unexpected hangs and clearer error messages, streamlining the development process and making the agent development lifecycle more predictable.

AI-written summary. May contain errors.

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