Supports Scoped Instructions

Configuration
Also known as:instruction scoping,contextual rules,scoped custom instructions

The ability to apply custom instructions at different levels, such as globally, project-wide, or to specific files or contexts.

Overview

Scoped instructions allow developers to define custom coding rules that apply at various levels of granularity, from global preferences (e.g., across all projects) to project-specific or file-specific rules. This feature supports flexibility in enforcing standards, accommodating diverse project requirements or team workflows. Scoping is often achieved through configuration files, settings, or metadata like glob patterns.

Why It Matters

Different projects or parts of a codebase may require distinct coding standards. Scoped instructions enable developers to tailor AI behavior to these needs, ensuring consistency and relevance. This is crucial for teams with mixed-language projects or varying style guides across repositories.

Common Use Cases

  • Applying global naming conventions across all projects for a developer
  • Enforcing project-specific rules, like using Tailwind CSS in a front-end repo
  • Setting file-specific instructions, such as TypeScript rules for `.ts` files
  • Adapting instructions for different team members’ preferences
  • Managing legacy codebases with unique standards separate from modern code

Agent Support

AgentSupport LevelNotesActions
Cursor
Full Support
Supports global and project-specific instructions via .cursorrules, allowing flexible rule application.
GitHub Copilot
Full Support
Copilot supports scoped instructions at repository level (.github/copilot-instructions.md), agent-specific level, and path-specific level via multiple .instructions.md files with YAML frontmatter (generally available since November 2025).
Windsurf
Full Support
Supports global and workspace-specific rules, allowing flexible instruction application across projects.
Amazon Q Developer
⚠️ Partial
Amazon Q Developer supports workspace-level and administrator-level instruction scopes, but does not provide file- or directory-level instruction scoping.
Claude Code
⚠️ Partial
Project instructions help Claude understand the specific context and requirements for a particular project.
Devin
⚠️ Partial
Devin's Playbooks allow task-type-level instruction scoping, but not directory or file-pattern scoping. Different Playbooks can be applied to different types of tasks (e.g., frontend vs. backend).
Aider
No Support
Aider applies instructions globally via CONVENTIONS.md or .aider.conf.yml. There is no mechanism for scoping instructions to specific directories, file types, or tasks.
Google Jules
No Support
Jules does not support scoped or hierarchical instruction systems. Instructions are provided per-task in the task description.
Replit Agent
No Support
Replit Agent does not support scoped or hierarchical instruction systems. All instructions are global to the project and provided via the agent chat.
Zed AI
No Support
Zed does not provide scoped instruction mechanisms at the directory or file-type level. All instructions are global.

Frequently Asked Questions

What are scoped instructions in AI coding agents?
Scoped instructions are custom coding rules that can be applied at different levels, such as globally across all projects, to specific projects, or to particular files or contexts, allowing flexible enforcement of standards.
Why is scoping important for custom instructions?
Scoping ensures that instructions are applied only where relevant, preventing misaligned suggestions (e.g., applying Python rules to JavaScript) and supporting diverse project requirements within a single workflow.
What happens if an agent doesn’t support scoped instructions?
Without scoping, instructions are applied uniformly, which can lead to inappropriate code suggestions or require manual adjustments, reducing efficiency in projects with varied standards.