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.
Windsurf
Full Support
Supports global and workspace-specific rules, allowing flexible instruction application across projects.
Claude Code
⚠️ Partial
Project instructions help Claude understand the specific context and requirements for a particular project.
GitHub Copilot
No Support
GitHub Copilot does not support scoped instructions at global, project, or file levels. All configuration is done through IDE settings and applies uniformly across the workspace.

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.