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---
description: 'Code review guidelines with priority tiers, security checks, and structured comment formats'
applyTo: '**/*.{js,mjs,cjs,ts,tsx,jsx,py,ps1,sh,bicep,tf}'
---
# Code Review Instructions
Structured code review guidelines for this repository. These complement
the language-specific instructions already in place:
- **Bicep**: `bicep-code-best-practices.instructions.md` (AVM-first,
TLS 1.2, managed identity, naming limits)
- **PowerShell**: `powershell.instructions.md` (comment-based help,
parameter validation, `$ErrorActionPreference = 'Stop'`)
- **Shell**: `shell.instructions.md` (`set -euo pipefail`, `trap`,
`jq`/`yq` for structured data)
- **Markdown**: `markdown.instructions.md` (120-char lines, ATX headings)
When reviewing code, apply these general guidelines **in addition to**
the language-specific rules. Language-specific instructions take
precedence on any conflicting point.
## Review Language
When performing a code review, respond in **English**.
## Review Priorities
When performing a code review, prioritize issues in the following order:
### ๐ด CRITICAL (Block merge)
- **Security**: Vulnerabilities, exposed secrets, authentication/authorization issues
- **Correctness**: Logic errors, data corruption risks, race conditions
- **Breaking Changes**: API contract changes without versioning
- **Data Loss**: Risk of data loss or corruption
### ๐ก IMPORTANT (Requires discussion)
- **Code Quality**: Severe violations of SOLID principles, excessive duplication
- **Test Coverage**: Missing tests for critical paths or new functionality
- **Performance**: Obvious performance bottlenecks (N+1 queries, memory leaks)
- **Architecture**: Significant deviations from established patterns
### ๐ข SUGGESTION (Non-blocking improvements)
- **Readability**: Poor naming, complex logic that could be simplified
- **Optimization**: Performance improvements without functional impact
- **Best Practices**: Minor deviations from conventions
- **Documentation**: Missing or incomplete comments/documentation
## General Review Principles
When performing a code review, follow these principles:
1. **Be specific**: Reference exact lines, files, and provide concrete examples
2. **Provide context**: Explain WHY something is an issue and the potential impact
3. **Suggest solutions**: Show corrected code when applicable, not just what's wrong
4. **Be constructive**: Focus on improving the code, not criticizing the author
5. **Recognize good practices**: Acknowledge well-written code and smart solutions
6. **Be pragmatic**: Not every suggestion needs immediate implementation
7. **Group related comments**: Avoid multiple comments about the same topic
## Code Quality Standards
When performing a code review, check for:
### Clean Code
- Descriptive and meaningful names for variables, functions, and classes
- Single Responsibility Principle: each function/class does one thing well
- DRY (Don't Repeat Yourself): no code duplication
- Functions should be small and focused (ideally < 20-30 lines)
- Avoid deeply nested code (max 3-4 levels)
- Avoid magic numbers and strings (use constants)
- Code should be self-documenting; comments only when necessary
### Examples
```javascript
// โ BAD: Poor naming and magic numbers
function calc(x, y) {
if (x > 100) return y * 0.15;
return y * 0.10;
}
// โ GOOD: Clear naming and constants
const PREMIUM_THRESHOLD = 100;
const PREMIUM_DISCOUNT_RATE = 0.15;
const STANDARD_DISCOUNT_RATE = 0.10;
function calculateDiscount(orderTotal, itemPrice) {
const isPremiumOrder = orderTotal > PREMIUM_THRESHOLD;
const discountRate = isPremiumOrder ? PREMIUM_DISCOUNT_RATE : STANDARD_DISCOUNT_RATE;
return itemPrice * discountRate;
}
```
### Error Handling
- Proper error handling at appropriate levels
- Meaningful error messages
- No silent failures or ignored exceptions
- Fail fast: validate inputs early
- Use appropriate error types/exceptions
### Examples
```python
# โ BAD: Silent failure and generic error
def process_user(user_id):
try:
user = db.get(user_id)
user.process()
except:
pass
# โ GOOD: Explicit error handling
def process_user(user_id):
if not user_id or user_id <= 0:
raise ValueError(f"Invalid user_id: {user_id}")
try:
user = db.get(user_id)
except UserNotFoundError:
raise UserNotFoundError(f"User {user_id} not found in database")
except DatabaseError as e:
raise ProcessingError(f"Failed to retrieve user {user_id}: {e}")
return user.process()
```
## Security Review
When performing a code review, check for security issues:
- **Sensitive Data**: No passwords, API keys, tokens, or PII in code or logs
- **Input Validation**: All user inputs are validated and sanitized
- **SQL Injection**: Use parameterized queries, never string concatenation
- **Authentication**: Proper authentication checks before accessing resources
- **Authorization**: Verify user has permission to perform action
- **Cryptography**: Use established libraries, never roll your own crypto
- **Dependency Security**: Check for known vulnerabilities in dependencies
### Examples
```java
// โ BAD: SQL injection vulnerability
String query = "SELECT * FROM users WHERE email = '" + email + "'";
// โ GOOD: Parameterized query
PreparedStatement stmt = conn.prepareStatement(
"SELECT * FROM users WHERE email = ?"
);
stmt.setString(1, email);
```
```javascript
// โ BAD: Exposed secret in code
const API_KEY = "[REDACTED]";
// โ GOOD: Use environment variables
const API_KEY = process.env.API_KEY;
```
## Testing Standards
When performing a code review, verify test quality:
- **Coverage**: Critical paths and new functionality must have tests
- **Test Names**: Descriptive names that explain what is being tested
- **Test Structure**: Clear Arrange-Act-Assert or Given-When-Then pattern
- **Independence**: Tests should not depend on each other or external state
- **Assertions**: Use specific assertions, avoid generic assertTrue/assertFalse
- **Edge Cases**: Test boundary conditions, null values, empty collections
- **Mock Appropriately**: Mock external dependencies, not domain logic
### Examples
```typescript
// โ BAD: Vague name and assertion
test('test1', () => {
const result = calc(5, 10);
expect(result).toBeTruthy();
});
// โ GOOD: Descriptive name and specific assertion
test('should calculate 10% discount for orders under $100', () => {
const orderTotal = 50;
const itemPrice = 20;
const discount = calculateDiscount(orderTotal, itemPrice);
expect(discount).toBe(2.00);
});
```
## Performance Considerations
When performing a code review, check for performance issues:
- **Database Queries**: Avoid N+1 queries, use proper indexing
- **Algorithms**: Appropriate time/space complexity for the use case
- **Caching**: Utilize caching for expensive or repeated operations
- **Resource Management**: Proper cleanup of connections, files, streams
- **Pagination**: Large result sets should be paginated
- **Lazy Loading**: Load data only when needed
### Examples
```python
# โ BAD: N+1 query problem
users = User.query.all()
for user in users:
orders = Order.query.filter_by(user_id=user.id).all() # N+1!
# โ GOOD: Use JOIN or eager loading
users = User.query.options(joinedload(User.orders)).all()
for user in users:
orders = user.orders
```
## Architecture and Design
When performing a code review, verify architectural principles:
- **Separation of Concerns**: Clear boundaries between layers/modules
- **Dependency Direction**: High-level modules don't depend on low-level details
- **Interface Segregation**: Prefer small, focused interfaces
- **Loose Coupling**: Components should be independently testable
- **High Cohesion**: Related functionality grouped together
- **Consistent Patterns**: Follow established patterns in the codebase
## Documentation Standards
When performing a code review, check documentation:
- **API Documentation**: Public APIs must be documented (purpose, parameters, returns)
- **Complex Logic**: Non-obvious logic should have explanatory comments
- **README Updates**: Update README when adding features or changing setup
- **Breaking Changes**: Document any breaking changes clearly
- **Examples**: Provide usage examples for complex features
## Comment Format Template
When performing a code review, use this format for comments:
```markdown
**[PRIORITY] Category: Brief title**
Detailed description of the issue or suggestion.
**Why this matters:**
Explanation of the impact or reason for the suggestion.
**Suggested fix:**
[code example if applicable]
**Reference:** [link to relevant documentation or standard]
```
### Example Comments
#### Critical Issue
````markdown
**๐ด CRITICAL - Security: SQL Injection Vulnerability**
The query on line 45 concatenates user input directly into the SQL string,
creating a SQL injection vulnerability.
**Why this matters:**
An attacker could manipulate the email parameter to execute arbitrary SQL commands,
potentially exposing or deleting all database data.
**Suggested fix:**
```sql
-- Instead of:
query = "SELECT * FROM users WHERE email = '" + email + "'"
-- Use:
PreparedStatement stmt = conn.prepareStatement(
"SELECT * FROM users WHERE email = ?"
);
stmt.setString(1, email);
```
**Reference:** OWASP SQL Injection Prevention Cheat Sheet
````
#### Important Issue
````markdown
**๐ก IMPORTANT - Testing: Missing test coverage for critical path**
The `processPayment()` function handles financial transactions but has no tests
for the refund scenario.
**Why this matters:**
Refunds involve money movement and should be thoroughly tested to prevent
financial errors or data inconsistencies.
**Suggested fix:**
Add test case:
```javascript
test('should process full refund when order is cancelled', () => {
const order = createOrder({ total: 100, status: 'cancelled' });
const result = processPayment(order, { type: 'refund' });
expect(result.refundAmount).toBe(100);
expect(result.status).toBe('refunded');
});
```
````
#### Suggestion
````markdown
**๐ข SUGGESTION - Readability: Simplify nested conditionals**
The nested if statements on lines 30-40 make the logic hard to follow.
**Why this matters:**
Simpler code is easier to maintain, debug, and test.
**Suggested fix:**
```javascript
// Instead of nested ifs:
if (user) {
if (user.isActive) {
if (user.hasPermission('write')) {
// do something
}
}
}
// Consider guard clauses:
if (!user || !user.isActive || !user.hasPermission('write')) {
return;
}
// do something
```
````
## Review Checklist
When performing a code review, systematically verify:
### Code Quality
- [ ] Code follows consistent style and conventions
- [ ] Names are descriptive and follow naming conventions
- [ ] Functions/methods are small and focused
- [ ] No code duplication
- [ ] Complex logic is broken into simpler parts
- [ ] Error handling is appropriate
- [ ] No commented-out code or TODO without tickets
### Security
- [ ] No sensitive data in code or logs
- [ ] Input validation on all user inputs
- [ ] No SQL injection vulnerabilities
- [ ] Authentication and authorization properly implemented
- [ ] Dependencies are up-to-date and secure
### Testing
- [ ] New code has appropriate test coverage
- [ ] Tests are well-named and focused
- [ ] Tests cover edge cases and error scenarios
- [ ] Tests are independent and deterministic
- [ ] No tests that always pass or are commented out
### Performance
- [ ] No obvious performance issues (N+1, memory leaks)
- [ ] Appropriate use of caching
- [ ] Efficient algorithms and data structures
- [ ] Proper resource cleanup
### Architecture
- [ ] Follows established patterns and conventions
- [ ] Proper separation of concerns
- [ ] No architectural violations
- [ ] Dependencies flow in correct direction
### Documentation
- [ ] Public APIs are documented
- [ ] Complex logic has explanatory comments
- [ ] README is updated if needed
- [ ] Breaking changes are documented
## Additional Resources
For more information on effective code reviews and GitHub Copilot customization:
- [GitHub Copilot Prompt Engineering](https://docs.github.com/en/copilot/concepts/prompting/prompt-engineering)
- [GitHub Copilot Custom Instructions](https://code.visualstudio.com/docs/copilot/customization/custom-instructions)
- [Awesome GitHub Copilot Repository](https://github.com/github/awesome-copilot)
- [GitHub Code Review Guidelines](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/reviewing-changes-in-pull-requests)
- [Google Engineering Practices - Code Review](https://google.github.io/eng-practices/review/)
- [OWASP Security Guidelines](https://owasp.org/)
## Prompt Engineering Tips
When performing a code review, apply these prompt engineering principles from the [GitHub Copilot documentation](https://docs.github.com/en/copilot/concepts/prompting/prompt-engineering):
1. **Start General, Then Get Specific**: Begin with high-level architecture review, then drill into implementation details
2. **Give Examples**: Reference similar patterns in the codebase when suggesting changes
3. **Break Complex Tasks**: Review large PRs in logical chunks (security โ tests โ logic โ style)
4. **Avoid Ambiguity**: Be specific about which file, line, and issue you're addressing
5. **Indicate Relevant Code**: Reference related code that might be affected by changes
6. **Experiment and Iterate**: If initial review misses something, review again with focused questions
## Project Context
This repository's primary tech stack:
- **Infrastructure as Code**: Azure Bicep (AVM-first), future Terraform
- **Scripting**: PowerShell 7+, Node.js (`.mjs`), bash
- **Diagrams**: Python 3.10+ (diagrams library)
- **Architecture**: Multi-agent orchestration (8 agents + 3 subagents)
- **Build/Lint**: `npm run lint:md`, `npm run validate:all`
- **Code Style**: Conventional Commits, 120-char markdown lines
- **Security Baseline**: TLS 1.2+, HTTPS-only, managed identity,
Azure AD-only SQL auth