This content originally appeared on DEV Community and was authored by Mike Vardy
Cover Photo by Pexels from Pixabay
AI coding assistants are fast. They can clear your backlog before lunch—and today's AI agents are way more than autocomplete.
But here's the catch: speed alone isn't enough. LLMs are optimized to get tasks done with minimal effort. They don't see your carefully crafted architecture, remember the anti-patterns that once broke production, or know that you're trying to retire legacy code.
The result? They write code that works… until subtle bugs creep in and quietly erode your standards.
The solution: Stop treating AI like a helpful assistant. Treat it like a Principal Engineer—someone who enforces rules, questions shortcuts, and keeps your codebase healthy.
Four Principles of AI Code Governance
1. Role Definition
Define your AI's responsibility explicitly.
❌ Not this:
"You are a helpful AI assistant."
✅ This:
"You are a Principal Engineer responsible for enforcing
architectural boundaries, blocking anti-patterns, and
maintaining code quality standards."
Try this now:
## Role
You are the Tech Lead. Your job is to:
- Enforce domain-driven design boundaries
- Reject code that violates team standards
- Question requests that introduce technical debt
2. Negative Constraints
The most powerful rules say "NO":
⚠️ Never use
anyin TypeScript
⚠️ Core modules cannot import UI code
⚠️ Noconsole.login production
These constraints prevent drift into bad habits.
Action checklist:
- [ ] List 3 anti-patterns from your last code review
- [ ] Convert them into "NEVER" rules
- [ ] Add them to your config today
3. Context Scoping
Don't dump your entire rulebook into every request.
| Approach | Impact |
|---|---|
| ❌ Bad | 500-line .cursorrules file loaded for every file |
| ✅ Good | Architectural rules only for src/core/**/*.ts
|
This keeps AI focused and prevents context overload.
4. Safety Barriers
Make it impossible to ship broken code:
- ✅ Require tests to pass
- ✅ Run linters automatically
- ✅ Block destructive commands
- ✅ Enforce code review protocols
Tool Comparison: Choose Your Weapon
| Tool | Best For | Key Feature | Use When |
|---|---|---|---|
| Cursor | Architecture enforcement | File-pattern scoped rules | You need surgical precision on specific file types |
| Windsurf | Continuous governance | Cascade engine | You want persistent rule enforcement |
| Warp | Terminal operations | Folder-scoped agents | You have a monorepo with different contexts |
| Claude Code | Self-correction | Post-execution hooks | You want automated fix loops |
| Gemini | Cloud environments | Layered constraints | You're working in cloud-native setups |
| Copilot | Path-specific rules | Directory targeting | You need GitHub integration |
🛠️ Tool-by-Tool Implementation Guide
Cursor: Surgical Precision with MDC Rules
Click to expand Cursor setup
TL;DR: Enforce architecture boundaries only where they matter.
Quick setup:
mkdir -p .cursor/rules
Create: .cursor/rules/architecture.mdc
description: DDD boundaries
globs: src/core/**/*.ts
alwaysApply: false
## FORBIDDEN
`src/core` cannot import from `src/ui`
## REQUIRED
All I/O uses `src/core/ports` interfaces
## Protocol
Reject violations. Explain why.
Why this works: Rules activate only for relevant files—no context pollution.
Windsurf: Continuous Governance
Click to expand Windsurf setup
TL;DR: Cascade rules across your entire codebase.
Create: .windsurfrules
<role>
Maintainer. Readability over cleverness.
</role>
<security>
⚠️ NEVER output secrets
✅ ALWAYS validate with Zod
</security>
<style>
- Use `pnpm`
- Composition > inheritance
</style>
💡 Pro tip: Add .codeiumignore to hide legacy code. AI learns from what it sees—don't let it learn from old mistakes.
Warp: Folder-Scoped Terminal Agents
Click to expand Warp setup
TL;DR: Different AI behaviors per directory in monorepos.
Setup:
-
ops/WARP.md→ DevOps persona -
frontend/WARP.md→ UI persona
Safety example:
# ops/WARP.md
⚠️ If user requests deployment commands:
DO NOT generate them.
Suggest `safe_deploy` workflow instead.
This prevents dangerous one-off CLI instructions.
Claude Code: Self-Correcting Loops
Click to expand Claude Code setup
TL;DR: AI sees linting errors and fixes them automatically.
Create: .claude/settings.json
{
"hooks": [
{
"type": "postToolUse",
"command": "eslint --fix"
},
{
"type": "postToolUse",
"command": "npm test"
}
]
}
The magic: Claude reads test output and self-corrects. No human needed.
Quick start: Run claude /init for repo-specific baseline.
Gemini Code Assist: Layered Cloud Constraints
Click to expand Gemini setup
TL;DR: Global + local rules prevent context rot.
Structure:
-
~/.gemini/GEMINI.md→ Universal style -
./GEMINI.md→ Project constraints
Security:
"coreTools": ["ls", "grep", "cat"]
💡 Pro tip: Limit tool access in cloud environments.
GitHub Copilot: Path-Specific Safety
Click to expand Copilot setup
TL;DR: Isolate high-risk areas with targeted rules.
Create: .github/instructions/migrations.instructions.md
applyTo: "db/migrations/**/*.sql"
## Migration Safety
⚠️ Every migration needs down-migration
⚠️ NEVER `DROP TABLE` without backup
✅ Create indices CONCURRENTLY
The Unified Approach: One Config to Rule Them All
Problem: Managing six config files is tedious.
Solution: Create a single AGENTS.md and symlink it everywhere.
touch AGENTS.md
ln -sf AGENTS.md .cursorrules
ln -sf AGENTS.md WARP.md
ln -sf AGENTS.md CLAUDE.md
ln -sf AGENTS.md GEMINI.md
💡 For Cursor MDC: Reference with @AGENTS.md
Result: ✨ Every AI tool follows identical standards. One source of truth.
Your 3-Step Action Plan
Step 1: Add One Negative Constraint ⏱️ 5 minutes
Pick your biggest pain point from last code review:
## Constraints
⚠️ NEVER use `console.log` in production code
Step 2: Enable CI Hooks for One Directory ⏱️ 15 minutes
{
"hooks": [{
"type": "postToolUse",
"command": "eslint --fix src/core"
}]
}
Step 3: Create Unified AGENTS.md ⏱️ 20 minutes
# AI Agent Configuration
## Role
Principal Engineer enforcing team standards
## Security
- NEVER output secrets
- ALWAYS validate inputs
## Architecture
- Core cannot import UI
- Use repository pattern
## Style
- Functional over class-based
- TypeScript strict mode
Symlink everywhere. Done. ✅
💡 The Bottom Line
Unconfigured AI = Fast but reckless
Configured AI = Fast and reliable
The difference? A few well-crafted configuration files.
Start Today:
- ✅ Add one "NEVER" rule
- ✅ Watch errors caught earlier
- ✅ Enjoy quieter code reviews
Stop letting AI write bugs. Give it a job description and make it role play. Make it accountable.
📚 Additional Resources
- 📖 Cursor Rules Documentation
- 📖 Claude Code Hooks Reference
- 📖 GitHub Copilot Custom Instructions
- 📖 Windsurf Cascade Customizations
- 📖 Warp AI Documentation
This content originally appeared on DEV Community and was authored by Mike Vardy
Mike Vardy | Sciencx (2025-11-17T11:38:25+00:00) Make Your Agents Think Like a Maintainer: The Setup That Stops Bugs Early. Retrieved from https://www.scien.cx/2025/11/17/make-your-agents-think-like-a-maintainer-the-setup-that-stops-bugs-early/
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