Tech5 July 2026· 5 min read

VPN Whack-A-Mole, AI Agent Doom Loops, and Why My DB is Gasping for Air

Spent the morning fighting geo-blocks only to realize websites are getting way too smart. Here is my take on modern VPN detection, the 'loop engineering' hype, and the reality of building tech from Lagos.

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VPN Whack-A-Mole, AI Agent Doom Loops, and Why My DB is Gasping for Air

Gbagada is humid this morning, and the neighborhood generator is humming its usual aggressive baseline outside my window. I sat down at my desk, ready to test a new LLM wrapper I’m building, only to get slapped with a "This service is not available in your region" screen.

Naturally, I toggled my VPN. Denied. I switched servers. Denied again.

It made me realize how insanely good websites have gotten at catching us. Back in the day, you could throw on any cheap VPN and bypass geo-blocks. Now? It is a whole different ball game. They are not just checking IP blacklists anymore. They are looking at DNS leaks, sniffing out WebRTC metadata, and analyzing browser fingerprints.

For those of us building and designing products from Nigeria, this is more than just an annoyance. It is a daily barrier. We are not trying to do anything shady; we are just trying to access the same developer tools, documentation, and billing platforms that the rest of the world takes for granted. When a platform's security team tightens their IP reputation filters, they often lock out legitimate builders who are just trying to get things done.

Working on code at my Gbagada workstation

The AI "Doom Loop" is Real

Speaking of building, everyone is shouting about "Loop Engineering" and autonomous coding agents. The promise is beautiful: you write a spec, the AI agent writes the code, tests it, finds the bugs, fixes them, and deploys.

But if you have actually tried to use these agents on a non-trivial codebase, you know the reality is messy. They get stuck in these horrific "Doom Loops."

The agent writes a bug, tries to fix it by writing another bug, gets confused by the compiler error, and then starts refactoring parts of the codebase that were working perfectly fine five minutes ago. Meanwhile, your API usage costs are ticking up, and your credit card is crying.

I am highly skeptical of letting these things run wild without heavy guardrails. There is also a massive security risk that nobody seems to want to talk about in their shiny demo videos. Developers are pulling down models and setting trust_remote_code=True without actually auditing what the model is doing under the hood. We are reviewing the wrapper code, but we are completely blind to the model supply chain itself.

It is the classic developer trap: we get so excited about saving twenty minutes of coding that we spend three hours debugging a black box we do not control.

The reality of local tech infrastructure

Postgres is Quietly Gasping for Air

On the backend side of my stack, I ran into a wall with my database last week. I was trying to optimize some dashboard queries for a local client, and the joins were taking ages, even on indexed tables.

It turns out that slow Postgres dashboards often have nothing to do with your actual data size. It is the small, quietly stale metadata tables that break your query planner. If your autovacuum settings are not tuned right, Postgres starts making terrible assumptions about how to join your tables based on outdated statistics.

A quick manual analyze on those specific tables fixed it in minutes. It was a good reminder that no matter how much AI we throw at our workflows, you still need to know how the bare metal behaves. You can't prompt-engineer your way out of a fragmented database index.

Diving into backend data structures

The Billing Headache

If you are trying to build a SaaS out of Nigeria that targets a global audience, the billing infrastructure is still a nightmare. We are seeing a major shift toward usage-based billing—especially for AI tools where you have to charge per token or per API call.

Platforms like Metronome, Orb, and Lago are leading the charge here, but integrating them alongside our local payment gateways is a headache of epic proportions. You end up writing so much glue code just to make sure a customer in Gbagada or Akure can pay with their card while your backend tracks usage metrics in real-time.

But hey, that is the tax we pay for building in this ecosystem. It is chaotic, the power goes out, the VPNs get blocked, and the databases stall. But we still do not agree for anybody. We keep refactoring, we keep optimization in mind, and we keep shipping.

Now, let me go see if I can tweak my browser fingerprint enough to bypass this latest block and get back to work.

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© 2026 Samuel Stanley · Full Stack Engineer