Cline Rules: Codify Your Team's Standards

TL;DR

• Cline Rules let you document your team's coding standards, security practices, and architectural constraints in a way Cline understands
• Developers get an AI assistant that follows your actual conventions instead of generic defaults
• Start with critical rules (security, stability, quality) and evolve them as your team's practices change

What Dropped

Cline now supports Rules — a dedicated section where you document the invisible framework that guides your codebase. Think of it as onboarding an AI team member with your team's institutional knowledge: coding principles, security protocols, database constraints, API integration patterns, and style conventions.

The Dev Angle

Your codebase doesn't exist in isolation. It connects to databases, integrates with external APIs, follows security protocols, and adheres to coding standards that experienced team members navigate instinctively. Cline Rules make that invisible framework explicit.

The key distinction: Cline Rules govern how code should be written (technical standards, practices, constraints). Business requirements, feature specs, and project goals belong in Cline Docs instead. This separation keeps Cline focused on implementation details, not product decisions.

Common rule categories include coding principles (readability over cleverness, composition over inheritance), security practices (parameterized queries, environment variable handling), documentation guidelines (inline comments vs. READMEs), database schema rules (which tables can be altered, migration requirements), and external system integrations (API protocols, error handling, rate limiting).

The critical insight: vague rules create inconsistent results. A rule like "optimize code where possible" leaves too much room for interpretation. Better: "Optimize code when unit tests take longer than 100ms to execute." Specificity removes ambiguity. Similarly, conflicting rules (CamelCase vs. snake_case) need explicit hierarchy — "use CamelCase for class names, except Python code uses snake_case."

Should You Care?

If you're using Cline for production work, yes. Rules transform Cline from a capable but generic assistant into one that understands your context and follows your standards. This reduces corrections and revisions.

Start with the most critical rules — those preventing security vulnerabilities, maintaining system stability, or ensuring code quality. You don't need exhaustive documentation; focus on rules with the biggest impact on reliability and team productivity.

Treat Cline Rules as living documentation. When you adopt new frameworks, change security practices, or shift deployment processes, update the corresponding rules. This maintenance effort pays dividends in consistency. For deeper guidance on how to structure prompts and instructions for AI assistants, check out Cline Prompt Fundamentals: Master Zero-Shot, One-Shot, Chain-of-Thought.

The payoff: Cline makes decisions aligned with your team's current thinking, reducing friction and increasing the value of AI-assisted coding in your workflow.

Source: Cline