Week 1: Setup & Onboarding
Installed the GitHub App. Zento analyzed their existing codebase (1.2M LOC) and identified their top 5 architectural anti-patterns.
Case Study
FinPilot
Fintech startup processing 3M+ transactions daily
3M+
Daily Transactions
15
Engineering Team
40%
CI Pipeline Failure Rate (Before)
Q1
Year of Incidents
The Challenge
Ship fast, break nothing
By early 2024, FinPilot had doubled in size. Their CI pipeline, originally built for a team of 5, was brittle and failing 40% of the time.
The team was forced to merge features without full automated testing coverage. This resulted in three major production incidents in Q1 alone, including a critical payment processing outage that cost the company $120k in downtime and damaged their Series B reputation.
"We were moving so fast that the code quality was suffering," says Sarah Jenkins, VP of Engineering. "We needed a safety net that could scale with our velocity, not slow us down."
The Solution
AI-driven safety net for fintech
Zento AI Review & Regression Guard
FinPilot integrated Zento to replace their manual code review process and patchy test suite. By adding an AI reviewer that understands their complex financial logic and a regression engine that catches breaking changes, they achieved immediate stability.
- AI Review: Zento analyzed PR diffs for logic errors, security vulnerabilities, and performance pitfalls in real-time.
- Automated Regression Tests: Zento generated edge-case tests for critical payment paths, ensuring no new feature broke existing transactions.
Two-week implementation
Zero disruption to the engineering workflow.
Week 2: Full Rollout
Enabled automated test generation for all new PRs. The regression guard blocked 12 critical bugs before they reached production.
The Results
61%
Reduction in Production Bugs
28%
Faster PR Merge Times
97%
Test Coverage on Payment Module
0
Major Incidents in Q2
"Zento didn't just catch bugs; it forced us to rethink how we write code. The regression testing is now the safety net we never had."Sarah Jenkins — VP of Engineering, FinPilot
Technical Deep-Dive
How Zento handled FinPilot's specific stack.
Python & Go Stack
Zento's Go runtime provided sub-second analysis for their microservices, preventing any pipeline latency.
Security Scanning
Zento flagged a hardcoded API key in a Python utility script during the first week, preventing a potential data leak.
Docker Integration
Zento scanned Dockerfile layers to ensure no unpatched dependencies were being built into production images.
See how Zento can help your team
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