The Story Behind Tensectra
Built on production fintech systems serving banks across Nigeria and Ghana. Every pattern we teach, we ship first.
Tensectra started with a problem: too many developers know how to write code, but not how to build systems that scale.
We have spent years building financial SaaS — multi-tenant, multi-country, Oracle-compatible, Kafka event-driven systems serving real banks across Nigeria and Ghana. We have made the mistakes. We have learned the patterns. We have pressure-tested what works in production.
Now we are teaching those patterns. Not from tutorials. From real production systems. The same architecture that handles thousands of concurrent users, processes millions of transactions, and stays up 99.9% of the time.
This is Tensectra. Learn Boldly. Build Fearlessly. Scale Intelligently.
The Tensectra Standard
Not tutorials. Production.
Built on real banking systems. 99.9% uptime. Real audits. Real data.
Not theory. Deployed products.
Every cohort ends with a live URL, a GitHub repo, and an architecture you can defend.
Not a course. A transformation.
AI writes the boilerplate. You design the architecture. That gap is what we close.
“To close the gap between tutorial knowledge and production engineering. Every developer who completes a Tensectra cohort ships a deployed product, defends their architecture under scrutiny, and leaves with patterns they can apply in production — not a certificate, but proof.”
Say the thing plainly. No corporate hedging. No vague promises. Real technology names. Real patterns.
Not teacher-to-student. We are engineers helping engineers. The same struggles. The same solutions.
Every section leads with the developer's frustration before describing the solution. Real problems. Real fixes.
Founder & Lead Instructor
Software architect with 10+ years building enterprise systems. Led engineering teams at fintech companies serving banks across Africa. Obsessed with clean architecture, event-driven systems, and teaching developers to think in patterns.
FROM ZERO TO RUNNING SERVICE
From dotnet new to a named, running microservice in Visual Studio — 5 layers, JWT, database connected. Not a hello-world.
PATTERNS, PRE-WIRED
CQRS, Kafka Saga, Repository Wrapper, Factory/Strategy, AES boundary encryption — not stubs or samples. Production implementations.
PRODUCTION UPTIME
Achieved on financial SaaS built on this exact architecture — serving real banks, real transactions, under audit, across Africa.
FASTER TO PRODUCTION
Compared to building the architecture from scratch. Ship a new service in days. Skip months of setup, argument, and rework.
What exists today. What is being built. What is on the horizon.
✓ AVAILABLE NOW
⚙ IN DEVELOPMENT
◦ PLANNED
dotnet new tensectrakit-ai“Post goods receipt, item 4071, quantity 200, warehouse B.”
That sentence becomes a validated, audited, Kafka-published transaction — no form, no screen navigation, no clicks. The AI extracts the intent, asks for any missing parameters, shows a preview, waits for your confirmation, then calls your existing API endpoint.
Your current scaffold is already shaped for this. CQRS commands map 1:1 to AI function calls. Redis holds conversation state between turns. Kafka publishes AI-initiated events identically to UI-initiated ones. FluentValidation catches bad AI-parsed parameters before they reach the database. Nothing in your existing code changes. You add one new service on top.
SAP and Oracle charge hundreds of thousands of dollars for this capability. You bolt it onto what you already own.
Questions about the cohort, the kit, or working together? We respond within 48 hours.
Location
Remote-first, Africa-focused
We respond within 48 hours.