LoopyLuci Code Review Automation
Automating code review processes — from static analysis and linting through automated PR checks, review assignment, and AI-assisted code review.
When to Use
- Reducing manual review burden on senior engineers
- Catching common issues before human review
- Enforcing coding standards automatically
- Automating reviewer assignment based on expertise
- Building consistent PR quality gates
Automation Patterns
AUTOMATED_REVIEWS = {
'linting': 'ESLint, Ruff, clang-format — style, formatting, basic errors',
'static_analysis': 'SonarQube, CodeQL, Semgrep — bugs, security, complexity',
'type_checking': 'mypy, TypeScript strict, Rust borrow checker — type safety',
'test_cov': 'Ensure tests cover changed code, no coverage regression',
'ai_review': 'LLM-assisted review for logic, edge cases, documentation',
}
class PRGate:
"""Automated PR review gates that must pass."""
def __init__(self):
self.gates = []
def add_gate(self, name: str, check_fn: callable,
required: bool = True):
self.gates.append({'name': name, 'check': check_fn, 'required': required})
def evaluate(self, pr_data: Dict) -> Dict:
results = {}
for gate in self.gates:
try:
passed = gate['check'](pr_data)
results[gate['name']] = {'passed': passed}
except Exception as e:
results[gate['name']] = {'passed': False, 'error': str(e)}
return results
Verification Checklist
- Linting enforced in CI (fail on errors)
- Static analysis configured (security, complexity, duplication)
- Type checking in CI
- Test coverage gate (no decrease, or minimum threshold)
- Automated reviewer assignment (by expertise area)
- AI-assisted review integrated (summarize changes, flag concerns)
- PR template with checklist for human reviewers
- Review turnaround time tracked (SLA: <4 hours for team reviews)