1% of your code is causing 50% of your production incidents.
Bayefix is a technical debt intelligence platform that gives CTOs and enterprise architects a prioritized, surgical prescription to fix the code that's actually killing your revenue—with quantified ROI before you write a single line.
See how it works →Is This You?
- Millions of lines of legacy code power your revenue—but you're stuck in "analysis paralysis" about what to modernize first
- SonarQube says you have 3,000 code smells. NDepend says complexity is high. Neither tells you what to fix first or what it's worth.
- Managers see bugs in Jira. Developers see metrics in dashboards. Nobody can connect the two to prove why a revenue feature keeps failing.
- You've been quoted a multi-million dollar rewrite, but you suspect the real problem is in a handful of files—you just can't prove it
- Every quarter, the same modules cause the same production incidents, and you're spending more on firefighting than innovation
You don't need another diagnostic tool. You need a surgical prescription.
Technical Debt Intelligence & Constraint-Based Modernization
Bayefix shifts modernization from a high-risk "capital expenditure" (wholesale rewrite) to a series of profitable "surgical interventions."
In complex systems, a tiny fraction of code causes the majority of pain. Most tools generate thousands of findings with no prioritization. We identify the critical 1% of code responsible for 50% of production incidents—and give you a prescriptive plan to fix it.
Unlike competitors that operate in silos—where managers see bugs and developers see metrics—Bayefix proves causality by correlating ticket metadata with file modification history to show exactly why a revenue feature is failing.
1. Identify Kill Zones
Plot files on a matrix of Frequency of Change (Churn) vs. Code Complexity. The intersection reveals the specific files most likely to cause your next revenue-impacting incident.
2. Prove Causality
Ticket-to-File Mapping links business symptoms in Jira to specific source code files. "80% of Checkout bugs trace to 3 files." No more guessing.
3. Quantify the ROI
Move from "code smells" to business speak. "Save $15K/quarter by refactoring this specific class." CFO-ready numbers, not developer jargon.
4. Fix Incrementally
Bayesian intelligence continuously updates risk estimates as new commits and production signals arrive. Zero-downtime execution via the Strangler Fig Pattern.
The platform doesn't rely on static snapshots—it provides a probabilistic roadmap that continuously adapts as your system evolves.
What You Get: The Bayefix Assessment
A strategic intelligence engagement that delivers:
Kill Zone Analysis
- Files plotted on a Churn vs. Complexity matrix to identify the code most likely to cause your next outage
- Ticket-to-File Mapping linking Jira symptoms to specific source code culprits
- Bus factor risk: critical code only one person knows how to maintain
Quantified ROI Report
- Quarterly savings from fixing specific debt (e.g., "Save $15K/quarter by refactoring this class")
- Shadow cost: what you're paying in firefighting and slow velocity
- CFO-ready business case with payback period and 3-year return
Probabilistic Modernization Roadmap
- Bayesian risk estimates that continuously update as new commits and production signals arrive
- Zero-downtime execution strategy using the Strangler Fig Pattern
- Tiered remediation plan: quick wins (today), high-impact (this sprint), strategic (next quarter)
Recent Results
Automotive SaaS Platform
- Analyzed 170+ source files in a .NET codebase
- Identified 54 high-risk files with major test coverage gaps
- Delivered 506-hour prioritized remediation roadmap
- Client now uses findings to guide quarterly technical investment
Fintech Payment Gateway
- Platform processes $35B+ annually
- Supported migration from monolith to microservices
- Zero downtime during transition
What Clients Say
"We had the pleasure of working with Tri and his exceptional team as contractors on several key initiatives, including enhancing our data engineering capabilities, addressing critical code vulnerabilities, and successfully migrating our API from MS SQL to RDS PostgreSQL. Throughout the engagement, Tri and his team demonstrated deep technical expertise, outstanding problem-solving skills, and a collaborative approach that consistently exceeded our expectations. They delivered high-quality solutions on time and were instrumental in modernizing our infrastructure to align with evolving business needs. We highly recommend Tri and his team to anyone seeking skilled professionals for data engineering, complex system migrations, and software development."
"Futurify demonstrated exceptional professionalism, technical expertise, and industry knowledge while partnering with our team on fintech application modernization. Their team seamlessly integrated with ours, bringing essential skill sets that accelerated our development timeline. What stood out was their proactive problem-solving and willingness to go the extra mile. The quality of their work ensured our app was both robust and user-friendly. I can wholeheartedly vouch for Futurify—their dedication, technical prowess, and industry insights are truly unmatched."
"Futurify's professionalism has contributed significantly to our initiatives we partnered with them on. Their dedication to execution, verification and validation was above and beyond the standards set by their peers. I can confidently recommend Tri and his team to future candidates without hesitation."
"Futurify has been a phenomenal partner and very responsive to our needs. It's been a highly rewarding journey—growing together, scaling, and figuring out how to provide the best RV sharing platform."
Why Bayefix Over the Alternatives
| Static Analysis Tools | Big Consultancies | Bayefix | |
|---|---|---|---|
| Output | 3,000 code smells, no prioritization | PowerPoint that sits on a shelf | Surgical prescription: fix these 5 files first |
| Causality | Metrics in a silo—no link to business impact | Interviews and opinions | Ticket-to-File Mapping proves why revenue features fail |
| ROI | "Technical debt: $2M" (no actionable breakdown) | "Transformation will cost $5M" | "Save $15K/quarter by refactoring this specific class" |
| Approach | Static snapshots, stale on day one | 6-month assessment programs | Bayesian intelligence: continuously updating risk roadmaps |
| Code Access | Full source code required | Full access + org disruption | 70% of value without seeing any code |
SonarQube and NDepend generate overwhelming noise without prioritization or a clear path to ROI. Bayefix uses a proprietary AI correlation engine to connect business symptoms to code—so you fix the critical 1%, not the irrelevant 99%.
The Team
Toronto leadership. Vietnam engineering.
We're not a body shop. We're a senior team that's been working together for years on mission-critical enterprise systems—payment platforms processing $35B+ annually, SaaS products, and regulated financial services infrastructure.
Our Vietnam team isn't cheap labor. It's experienced engineers in one of Asia's fastest-growing tech hubs, delivering North American quality at significantly lower cost. That's how we fix less and charge less—without cutting corners.
Meet the Founders
Tri Ho
Co-founder, based in Toronto
12+ years leading software teams in financial services and enterprise modernization. Specialized in the systems nobody else wants to touch—legacy payment platforms, fragile SaaS products, codebases where one wrong commit means a 3am phone call. Handles client relationships and technical strategy.
Dzung Dang
Co-founder, based in Ho Chi Minh City
12+ years as a hands-on technical leader. Leads our Vietnam engineering team. Same background as Tri, but more keyboard time and less meetings. The person who makes sure the work actually gets done right.
"We built Bayefix because every enterprise we worked with had the same problem: millions of lines of legacy code, thousands of alerts from static analysis tools, and zero clarity on what to fix first. We built the missing link—the intelligence layer that connects business pain to specific code, with quantified ROI."
How to Start
Book a 30-minute call. Tell us about your legacy system and where it hurts.
We'll tell you honestly if we can identify your Kill Zones—and what the ROI would look like.
No pitch deck. No pressure. Just a conversation about your code.
Book a call →Common Questions
What is technical debt intelligence?
It goes beyond traditional static analysis. Technical debt intelligence doesn't just list problems—it correlates ticket metadata with file modification history to prove causality. Instead of "you have 3,000 code smells," you get "this specific class is responsible for 40% of Checkout bugs, and fixing it will save $15K/quarter." It's the difference between a diagnosis and a prescription.
How is Bayefix different from SonarQube or NDepend?
SonarQube and NDepend are diagnostic tools—they tell you what's wrong. Bayefix is prescriptive—it tells you what to fix, in what order, and what it's worth. Key differences:
- Causality — Ticket-to-File Mapping links business symptoms (Jira bugs) to specific source code culprits
- Prioritization — Kill Zone identification shows which 1% of files cause 50% of incidents
- ROI — Every recommendation comes with dollar savings, not just severity scores
- Adaptive — Bayesian intelligence continuously updates risk estimates as new data arrives
- Privacy-first — Delivers 70% of value without requiring any source code access
Do you need access to our source code?
Not initially. Bayefix delivers significant value using only ticket metadata (Jira/ADO) and git log statistics—no code content required. Stage 1-2 analysis identifies Kill Zones, bus factor risks, and ticket-to-file correlations without seeing a single line of code. If you choose to proceed to Stage 3, we analyze only the high-risk files identified in earlier stages—minimal exposure, fully encrypted.
What does the Bayefix modernization roadmap include?
A probabilistic roadmap that continuously adapts:
- Kill Zone Matrix — Files plotted by Churn vs. Complexity, showing exactly where your next outage will come from
- Ticket-to-File Mapping — Proof of which code files are causing which business-level failures
- Tiered remediation plan — Quick wins (today), high-impact (this sprint), strategic (next quarter)
- Quantified ROI — Dollar savings per fix with payback period and 3-year projections
- Zero-downtime execution strategy — Using the Strangler Fig Pattern to modernize incrementally
- Bayesian risk estimates — Updated continuously as new commits and production signals arrive
It's not a static report. It's a living intelligence platform that gets smarter over time.
Find Out Which 1% of Your Code Is Costing You the Most
Ready to move from "3,000 code smells" to "fix these 5 files first"?
Our Offices
Toronto, ON M4Y 0G7
Canada
Ban Co Ward, Ho Chi Minh City
Vietnam