Anambra Wants AI, But My Database Wants Clean Address Data First
Government press releases are buzzing with talk of AI-driven growth in Anambra. But as devs on the ground, we are still fighting dirty CSVs and missing API endpoints.
My laptop is practically burning my thighs right now, the fan is screaming, and I am looking at yet another slide deck about "AI-driven growth" in Anambra.
Every time a state government announces a new tech push, my developer brain immediately skips the colorful launch photos and goes straight to the architecture diagram. I start asking the annoying questions: Where is the hosting? What does the database schema look like? Where is the API documentation?
Because let’s be real. It’s incredibly easy to say "AI." It’s much harder to write the code that makes it work when your primary data source is a collection of dusty logbooks or a corrupted Excel sheet from 2016.
The Onitsha Market Reality Check
I love the hustle in Anambra. If you’ve ever stood in the chaotic, high-energy air of the Onitsha Main Market, you know that these traders are natural algorithms. They calculate supply, demand, credit risks, and currency fluctuations in their heads faster than any LLM running on an expensive GPU cluster.
But if you want to build actual software that helps a spare parts dealer in Onitsha predict inventory needs, you cannot just sprinkle "AI" on top of nothing. You need clean, structured historical data.
Right now, if you try to build a local logistics app, you run into the classic Nigerian address problem. How do you train a model when a customer’s delivery address is entered as: "Opposite the big bread fruit tree, beside Mama Ngozi shop, close to the yellow bus stop"?
We do not have a data format problem; we have a data foundation problem.
Why the Hype Hurts the Builders
A lot of my developer friends in Akure and Enugu are building incredible things. They are not waiting for government grants; they are just trying to survive "Sapa" and build products that people will actually pay for.
But when the conversation is constantly dominated by high-level AI talk, we miss the boring, critical infrastructure that we actually need to survive.
Give us reliable identity verification APIs that don't go down every time there is a heavy downpour. Give us open, accessible state registries that return clean JSON instead of requiring us to pay a guy named Chinedu to scan physical documents at the secretariat.
If we want Anambra—or any other state—to actually scale digitally, we need to focus on the boring stuff. We need to build the plumbing before we try to design the fountain.
The "No Gree for Anybody" Stack
Despite the missing endpoints and the dirty datasets, we keep building anyway. We write custom middleware to parse messy address strings. We build local offline-first databases because the network at the market square is always patchy. We adapt.
If Anambra wants to make a real push, they should bypass the expensive consulting firms and talk to the guys in the local hubs. Ask the devs who are actually writing code what they need.
I promise you, none of them will ask for a fancy "AI policy document." They will ask for stable electricity, clean public data registries, and APIs that actually return a 200 OK status code.
Now, let me go back to debugging this payment gateway integration before NEPA takes light again.
Related from Nigeria
Let's build your next big product.
Accepting project-based freelance, remote engineering roles, and hybrid positions.