Artificial intelligence is no longer just a suggestion tool — it has become a true development teammate. Here’s how we integrated Claude Code into our daily workflow.
The Initial Challenge
At Zadig&Voltaire, our tech team manages a complex ecosystem: 47 countries, 15 million monthly visitors, and a stack ranging from legacy Magento to modern headless. Code review was becoming a bottleneck.
The Agent Approach
Rather than using AI sporadically, we opted for an autonomous agent that:
- Automatically analyzes every Pull Request
- Identifies problematic patterns
- Suggests performance optimizations
- Generates missing documentation
- Checks consistency with our style guide
// Example of our agent configuration
const codeReviewAgent = {
triggers: ['pull_request.opened', 'pull_request.synchronize'],
checks: [
'security_vulnerabilities',
'performance_patterns',
'documentation_coverage',
'test_coverage'
],
autoFix: ['formatting', 'imports', 'simple_refactors']
};Results After 3 Months
The numbers speak for themselves:
- -60% time spent on code review
- +40% documentation coverage
- 3x more PRs merged per week
- 0 security incidents related to code
Limitations Encountered
The agent isn’t perfect. We had to fine-tune its rules to avoid:
- False positives on intentionally maintained legacy code
- Overly aggressive refactor suggestions
- Over-documentation of trivial code
Next Steps
Our next goal: connect the agent to our monitoring system so it can propose optimizations based on real production metrics.
“AI doesn’t replace developers. It allows them to focus on what really matters: architecture and innovation.” — Benjamin, CTO