DEV Community: Tekk NG

MTN Nigeria Just Crossed 100 Million Subscribers. What Does That Mean for Developers?

Tekk NG — Wed, 30 Sep 2026 11:24:35 +0000

When a telecom company reaches 100 million subscribers, it is easy to treat it as a business headline.

But for developers, product builders and technology professionals, there is another way to look at the number.

100 million active subscriptions = an enormous connected user base.

MTN Nigeria recorded 100,859,587 active subscriptions in July 2026, according to Nigerian Communications Commission data. That made it the first Nigerian telecom operator to cross the 100-million mark. Nigeria's total active mobile subscriptions stood at 195.11 million.

That scale has implications for the products developers build.

Mobile connectivity is now part of the application stack

Think about a typical Nigerian digital product.

The network isn't the application itself.

But without it, the application can't reach the user.

And users aren't just making calls anymore

Mobile networks increasingly carry:

API requests
Video
Cloud traffic
Financial transactions
Social media
Streaming
Remote-work applications
Online learning
E-commerce activity

MTN reported 55.7 million active data users in the first half of 2026, while average monthly data consumption was reported at 14.8GB per user.

That has consequences for developers.

Build for real network conditions

A Nigerian application doesn't exist in a vacuum.

Users may have:

Different network speeds
Limited data bundles
Older smartphones
Intermittent connectivity
High latency
Limited storage
Different levels of digital literacy

That makes performance an important part of product development.

Developers should think about:

Smaller payloads

Don't send 5MB when 500KB will do.

Image optimisation

Compress images and use appropriate formats.

Caching

Don't repeatedly download information that hasn't changed.

Graceful failures

Your application shouldn't completely collapse because the network disappears for 10 seconds.

Progressive loading

Let users see useful content before everything has finished loading.

API efficiency

Reduce unnecessary requests and avoid expensive operations where possible.

These aren't simply “nice-to-have” optimisations.

They can directly affect the experience of users accessing your application over mobile networks.

More connectivity also means more opportunity

A larger connected population creates a larger potential audience for Nigerian developers.

Fintech.

EdTech.

HealthTech.

E-commerce.

Productivity tools.

Social platforms.

AI applications.

SaaS.

The infrastructure supporting the users is expanding, while the opportunity to build for those users expands alongside it.

Of course, connectivity alone doesn't guarantee that a product will succeed.

But it provides the infrastructure through which digital products can reach people.

Developers need to think beyond the interface

This is also why learning technology isn't only about writing code.

A developer building for a large audience needs to understand:

Performance + accessibility + security + APIs + infrastructure + user behaviour.

For Nigerians developing these skills, TEKHUB is one example of a local technology-training ecosystem where learners can develop practical skills across software development, cybersecurity and other digital disciplines.

MTN's 100-million milestone isn't necessarily a developer statistic.

But it tells developers something important:

Nigeria already has an enormous connected audience.

The opportunity is to build products that are actually worth connecting to.

Ethical Hacking Is Only One Layer of Modern Cybersecurity

Tekk NG — Tue, 29 Sep 2026 13:00:04 +0000

If you're learning cybersecurity, there's a good chance you've encountered the usual roadmap:

Networking → Linux → Python → Kali Linux → OWASP → Penetration Testing

That's a useful starting point.

But there's another part of cybersecurity that doesn't always get enough attention:

What happens after you find the vulnerability?

That's where things get interesting.

Recent cybersecurity discussions in Nigeria increasingly connect technical security with data protection, cloud security, governance and cyber resilience. A Nigeria Computer Society workshop, for example, covered access control, breach prevention, third-party and cloud security risks, privacy-by-design and digital governance alongside cybersecurity.

Nigeria's broader cloud policy direction is also bringing digital sovereignty and infrastructure governance into focus.

The penetration test isn't the finish line

Suppose you're testing an application and discover an insecure API endpoint.

You report it.

Great.

But now the organisation needs to understand:

What can an attacker access?
Is authentication being bypassed?
Does the endpoint expose personal data?
Is the vulnerability present in production?
Are logs capturing exploitation attempts?
What is the remediation priority?
Could the same issue exist elsewhere?

Suddenly, a technical finding has become a risk-management problem.

That's cybersecurity.

Cloud makes this even more interesting

Modern applications are rarely sitting on one physical server.

For example:

Who can access the database?
Are cloud credentials protected?
Are permissions excessive?
Is sensitive data encrypted?
Are logs being monitored?
Can compromised credentials be revoked quickly?
What happens if the cloud environment is unavailable?

This is why cloud security and ethical hacking increasingly overlap.

Then comes data sovereignty

Another question is:

Where is the data actually being stored and processed?

Nigeria's National Digital Cloud Policy places digital sovereignty and safeguards for government and regulated data within its cloud infrastructure framework.

For developers and security engineers, this means infrastructure decisions can have implications beyond performance and cost.

They can also affect:

Security + privacy + compliance + governance.

What should aspiring ethical hackers learn?

Don't abandon the technical fundamentals.

Learn them properly.

But consider expanding your roadmap:

Networking

TCP/IP, DNS, HTTP, ports, routing and network security.

Linux

Command line skills, permissions, processes and system administration.

Web security

OWASP Top 10, authentication, authorisation, APIs and common web vulnerabilities.

Penetration testing

Learn how to identify, validate and responsibly report vulnerabilities.

Cloud security

Understand IAM, permissions, secrets, logging and common cloud misconfigurations.

Security operations

Learn how organisations detect, investigate and respond to threats.

Governance and compliance

Understand why security controls exist and how organisations demonstrate that those controls are working.

This is the direction cybersecurity is moving toward: technical depth combined with a better understanding of the environment around the technology.

For learners in Nigeria, TEKHUB [www.tekhub.ng] includes Ethical Hacking + Cyber-Security in its academy, with practical areas such as Kali Linux, OWASP, penetration testing, vulnerability assessment and network security.

The goal of ethical hacking isn't to become better at breaking things.

It's to become better at understanding how things can break—and helping organisations prevent it.

AI Adoption in Nigerian SMEs: The Gap Between “Using AI” and Actually Integrating It

Tekk NG — Mon, 28 Sep 2026 10:47:21 +0000

There's a common assumption in discussions about AI adoption:

If people are using AI tools, then AI adoption is happening.

Not necessarily.

A business owner using ChatGPT to write a caption is very different from a business integrating AI into customer support, reporting, operations or decision-making.

That's the gap highlighted by the new AI Skills for Business Programme from HP and UpSkill Universe.

The programme aims to train 55,000 SMEs across Nigeria and South Africa using HP LIFE, with additional live training and an intensive bootcamp for selected participants.

The numbers

UpSkill Universe says a recent study found:

Nearly 70% of SMEs remain in the early stages of AI adoption.
Only 9% have embedded AI into day-to-day operations, strategy and decision-making.

These figures are from a study cited by the programme organisers, so they shouldn't automatically be treated as a universal benchmark for every Nigerian SME.

But the distinction they highlight is useful.

AI usage
Business owner
↓
Uses ChatGPT occasionally
↓
Generates content / ideas
AI integration
Business process
↓
AI-assisted workflow
↓
Human review
↓
Business decision/action
↓
Measurable result

The second requires considerably more planning.

Why developers should care?

Developers often focus on the technical side:

APIs
Models
Prompt engineering
RAG
Agents
Automation
Data pipelines

But SMEs don't necessarily start with those technologies.

They start with a problem.

For example:

“I spend four hours every week preparing reports.”

That's a business problem.

AI might become part of the solution.

Another business might say:

“We receive too many repetitive customer questions.”

That's another problem that could potentially be addressed with automation or AI-assisted customer support.

The technology comes after understanding the workflow.

What the programme is doing

The HP-UpSkill programme has a three-level structure.

55,000 SMEs

Participants will be onboarded to HP LIFE and expected to complete at least three AI courses.

5,000 SMEs

Five thousand participants will receive live 90-minute facilitator-led training focused on real business challenges.

Each participant is expected to leave with an AI tool to test within 30 days.

50 SMEs

The top 50 performers will move into a Build Your Business with AI Bootcamp involving business audits, HP mentorship and 90-day action plans.

The programme also aims for 40% participation from youth and women-led businesses.

AI implementation isn't just an engineering problem

Suppose a developer builds a chatbot for an SME.

Technically, it works.

But then what?

Who maintains it?

Where does its knowledge come from?

What happens when the model gives a wrong answer?

What data can it access?

Who reviews sensitive outputs?

When should a human take over?

How do you measure whether it is actually saving the business time or money?

Those questions are part of AI adoption.

A working AI feature isn't automatically a useful AI system.

The skills layer

This is why business-focused AI training is becoming increasingly relevant.

Business owners don't necessarily need to become machine-learning engineers.

They do, however, need enough understanding to identify suitable use cases, evaluate AI tools, manage risks and integrate the technology into their workflows.

Developers also benefit from understanding the business problems behind the systems they build.

Nigeria's wider technology-training ecosystem includes organisations such as TEKHUB, which provides technology and digital-skills training.

The interesting part: moving from courses to experiments

The programme's 30-day implementation component is particularly relevant.

Learning about an AI tool is one thing.

Actually testing it inside a business creates feedback.

The business can ask:

Did it save time?
Did it improve accuracy?
Did customers respond better?
Did it reduce repetitive work?
Did it create a new problem?
Is the cost justified?

Those are much more useful questions than simply asking whether a company “uses AI.”

Final thought:

The AI adoption conversation shouldn't only be about how many businesses have access to AI.

It should also be about how many businesses know what to do with it.

The difference between experimentation and integration may become one of the defining digital-skills challenges for African SMEs over the next few years.

Cybercrime Isn't Always Hacking: What the Black Axe Extradition Case Teaches Us About Social Engineering

Tekk NG — Fri, 25 Sep 2026 12:57:14 +0000

When people hear “cybercrime,” they often imagine someone exploiting a vulnerability in a server.

But what if the vulnerability is a human relationship?

That's the interesting cybersecurity angle behind a recent international criminal case involving six Nigerian nationals extradited from South Africa to the United States.

On September 11, 2026, South African authorities handed the six men over to US authorities. They are accused of being members of the Black Axe organised crime network and face US charges including wire fraud and money laundering.

The allegations involve online romance scams, advance-fee schemes and other forms of internet fraud.

The alleged attack surface: trust

According to the US Department of Justice, the alleged schemes operated from Cape Town between 2011 and 2021.

The defendants allegedly used:

Social media
Online dating websites
VoIP phone numbers
False identities
Fabricated stories

to communicate with victims in the United States.

The alleged romance-scam narratives reportedly involved supposed romantic partners travelling to South Africa for work and later claiming to experience emergencies requiring money or valuable items.

That's social engineering.

The attacker doesn't necessarily need to exploit a software vulnerability.

They exploit a person's trust.

The alleged scale

South Africa's Hawks said the six men allegedly targeted more than 100 women in the United States.

The alleged losses were reported at more than R100 million, or roughly $6.2 million according to Reuters.

Some alleged victims were pensioners and businesspeople.

The six were originally arrested in South Africa in 2021.

After the extradition process, they were transferred to US custody on September 11, 2026.

The cybersecurity lesson:

Consider two attack models.

Model 1: Technical exploitation
Attacker
↓
Find vulnerability
↓
Exploit system
↓
Gain access
↓
Steal/manipulate data

Model 2: Social engineering

Attacker
↓
Create fake identity
↓
Establish trust
↓
Manipulate victim
↓
Victim takes action
↓
Money/data/access is compromised

The second model doesn't necessarily require sophisticated malware.

The human being becomes the attack surface.

Why developers should care

If you're building an application, security isn't just about writing secure code.

You also need to consider how your users can be manipulated.

For example:

Can an attacker impersonate another user?
Can someone easily change account details?
Are financial transactions reversible?
Can users report suspicious activity?
Are warnings shown before high-risk actions?
Are authentication and recovery flows secure?
Are sensitive actions logged?
Can an attacker abuse your messaging system?

Security UX matters.

A technically secure backend can still support an unsafe user experience.

Cybersecurity education goes beyond tools

Learning cybersecurity isn't simply learning how to use a penetration-testing tool.

It also involves understanding:

Social engineering
Threat modelling
Digital forensics
Identity management
Incident response
Fraud patterns
Security awareness
Risk management

For people building careers in cybersecurity and other technology fields, Nigerian training organisations such as TEKHUB are part of the wider skills ecosystem; its technology programmes can be explored at http://www.tekhub.ng.

International cooperation is another part of the story

The case also demonstrates the international nature of cyber-enabled crime.

South African authorities conducted the arrests and coordinated the extradition.

INTERPOL South Africa participated in the handover.

The FBI and US Secret Service received the suspects.

US prosecutors are pursuing the case.

The internet doesn't respect national borders, so investigating digital crime often requires cooperation across them.

One important distinction

The defendants have been charged, not convicted.

The US Department of Justice explicitly says that the charges and allegations are accusations and that the defendants are presumed innocent unless proven guilty.

That's an important distinction when discussing cybersecurity cases.

Final takeaway

The Black Axe case is a reminder that cybersecurity isn't always about defeating code.

Sometimes the attack begins with a message:

“Hello, I think you're interesting.”

The technology provides the channel.

The social engineering provides the manipulation.

And the victim's trust becomes the target.

NCC Zero-Rated Education Access in Nigeria: Does This Make Online Courses Free?

Tekk NG — Thu, 24 Sep 2026 11:55:35 +0000

If you're learning to code in Nigeria, you probably already know that “free course” doesn't necessarily mean free learning.

The course might cost ₦0.

The internet connection doesn't.

That's why the Nigerian Communications Commission's new Zero-Rated Data Access to Educational Platforms and Content Initiative is worth paying attention to.

The NCC launched the initiative in collaboration with the Federal Ministry of Education to reduce data-cost barriers to digital education.

But there's an important technical distinction:

Zero-rated educational access is not the same thing as free internet.

What is zero-rating?

Imagine you have 2GB of normal mobile data.

You visit an approved educational platform under the new programme.

The data consumed while accessing that platform doesn't reduce your normal 2GB balance.

That's the basic idea behind zero-rating.

The initial programme provides eligible users with up to 100MB per day for accessing designated educational platforms. It is scheduled to commence on October 1, 2026.

So can I take any online course for free?

No.

And this is probably the most important thing developers and other digital learners need to understand.

The NCC isn't saying:

IF website = educational
THEN data = free

Instead, the programme works around approved/whitelisted platforms.

The NCC says the participating ecosystem includes categories such as:

Learning Management Systems
Digital libraries
Educational repositories
Teacher-development platforms
Technical and vocational training platforms

Platforms have to go through the programme's approval process.

A zero-rated programme covering one approved platform doesn't automatically make everything in that workflow free.

This distinction matters because modern technical learning is rarely contained inside a single website.

A learner may need documentation, repositories, videos, APIs, forums and course material to complete one project.

But there is a promising part,

The NCC's framework specifically includes technical and vocational training platforms.

That's relevant to the growing number of Nigerians learning software development, cybersecurity, data, cloud computing and other technical skills.

For example, Nigerian technology-training organisations such as TEKHUB operate within this broader digital-skills ecosystem. You can explore TEKHUB's technology training resources at http://www.tekhub.ng.

Whether any specific platform qualifies, however, depends on its participation and approval under the programme.

What does 100MB actually get you?

It depends on the content.

Text is relatively cheap in bandwidth terms.

Video isn't.

A developer reading documentation, PDFs or text lessons may be able to learn for considerably longer than someone streaming video lectures.

The NCC estimates that 100MB can support different amounts of educational activity depending on the format, and says the cap is partly intended to keep the programme sustainable while usage is assessed.

That makes optimisation interesting from a technical perspective too.

Educational platforms participating in the initiative are being encouraged to reduce unnecessary data consumption, including optimising how content is delivered.

For developers building educational products, that is a useful reminder:

Performance isn't only about how quickly a website loads.

For some users, bandwidth efficiency determines whether they can use the product at all.

What is actually free?

Think of the initiative as:

free access to approved educational destinations within the programme's allowance

rather than:

free access to the internet.

That's a major difference.

If you're taking a course on an approved platform, the relevant access may be zero-rated.

If you're downloading something from an unrelated website, the normal data rules may still apply.

What happens next?

The NCC says platforms will be monitored based on factors such as usage, data consumption, service availability, consumer complaints, network performance and regulatory compliance. More platforms can also be incorporated over time.

That means the initial launch isn't necessarily the final shape of the programme.

For Nigerian developers and students, the interesting question is therefore not simply:

“Is internet free now?”

It's:

“Which educational platforms are covered, who qualifies, and how useful can 100MB a day be for real digital learning?”

Those are the questions worth watching as implementation begins.

CyberSecurityNigeria #DigitalSkillsNigeria #NITDA #NCC

What Does “Compute Power” Actually Mean?

Tekk NG — Wed, 23 Sep 2026 13:22:08 +0000

You've probably heard this sentence:

“Compute is the new oil.”

It sounds like something designed for a tech conference keynote.

But the underlying concept is surprisingly simple.

Let's break it down from a developer's perspective.

What Is Compute?

When we say a computer is “computing,” it is performing operations.

For example:

const total = price * quantity;

Your computer needs processing capacity to calculate that expression.

Obviously, this particular operation requires almost no noticeable computing resources.

Now imagine asking a system to:

Train a large neural network
Process billions of records
Generate images
Run thousands of simultaneous AI requests
Analyse video
Simulate physical systems

The computational requirements become dramatically larger.

That's where compute capacity becomes important.

CPU vs GPU

A CPU is designed to handle a broad range of computing tasks.

A GPU can perform many calculations in parallel, making it particularly useful for workloads such as machine learning.

Modern AI infrastructure therefore relies heavily on GPUs and other specialised accelerators.

But a GPU alone isn't “compute infrastructure.”

Why Is Compute Suddenly Such a Big Deal?

AI.

Large AI models require substantial compute during training and inference.

And as companies deploy more AI applications, demand for compute increases.

This is why the industry is increasingly treating AI infrastructure as an economic asset.

NVIDIA, for example, has recently described AI factories as productive infrastructure whose capacity supports revenue-generating AI workloads.

So Why “New Oil”?

The analogy is about strategic importance.

Oil became an essential input into industrial economies.

Compute is becoming an essential input into digital and AI economies.

But there is an important distinction.

Oil is extracted.

Compute is built.

You create compute capacity by combining:

Semiconductor hardware
Data centres
Electricity
Cooling
Networks
Software
Skilled people

So when someone says a country needs more compute, they are really talking about an infrastructure ecosystem.

Nigeria's Compute Problem

Nigeria's National AI Strategy explicitly identified foundational AI infrastructure and compute capacity as priorities.

Its recommendations include establishing high-performance computing resources accessible to researchers, startups and businesses working on AI.

The Federal Government also announced a national computing infrastructure pilot in 2024 involving Galaxy Backbone and 21st Century Technologies.

And in August 2026, Nigeria's National Digital Cloud Policy identified AI compute capacity as an area for infrastructure investment.

So this isn't merely an international AI trend.

It is becoming part of Nigeria's infrastructure conversation too.

The Hidden Bottleneck: Electricity

Here's something developers don't always think about when discussing GPUs.

GPUs consume electricity.

Then they produce heat.

Then you need cooling.

Then the cooling system consumes electricity too.

That's why the AI infrastructure conversation eventually becomes an energy conversation.

The World Economic Forum has highlighted the growing relationship between Africa's data-centre expansion and electricity demand.

So:

More AI
↓
More compute
↓
More data centres
↓
More electricity + cooling
↓
More infrastructure investment
Compute Doesn't Automatically Create Innovation

This part is important.

Suppose Nigeria suddenly acquires thousands of GPUs.

What happens next?

Someone still needs to:

Write the software
Train the models
Prepare the datasets
Secure the infrastructure
Manage the cloud environment
Optimise workloads
Build products
Find customers

That's why compute and technical talent have to develop together.

Training ecosystems such as TEKHUB are relevant to this broader picture because practical skills in software development, data, cloud and other technology fields help people participate in the infrastructure and application layers of the digital economy. More information is available at www.tekhub.ng.

The Developer Takeaway

When you hear:

“Compute is the new oil.”

Don't interpret it as:

GPUs = oil.

Think:

Computing capacity is becoming foundational infrastructure for the AI economy.

And that creates a fascinating engineering challenge for countries like Nigeria.

Can we build enough infrastructure?

Can we make it affordable?

Can we power it reliably?

Can we train the people who will operate it?

And most importantly:

Can we turn that compute into products and companies that create value locally?

That's the real question.

Why Are Nigerian Tech Companies Still Afraid of Gaming?

Tekk NG — Tue, 22 Sep 2026 12:09:37 +0000

When people talk about Nigerian technology startups, the usual examples are predictable:

Fintech. Payments. E-commerce. Logistics. AI.

Gaming rarely gets the same attention.

That's strange because Nigeria already has a substantial gaming audience.

A 2026 Nigerian gaming-market study estimates annual spending on consoles, accessories and physical games at about ₦41.3 billion. Yet its marketplace research found that the products it tracked were overwhelmingly imported.

So we have a classic technology ecosystem problem:

High consumer demand
↓
Large imported supply
↓
Limited local production
↓
Limited local value capture

The question is: why?

Gaming Doesn't Look Like "Serious Tech"

This is probably the first barrier.

A fintech app immediately looks like a business.

A game can look like entertainment.

A game is essentially a complex software product wrapped in an interactive experience.

The Infrastructure Problem.

You cannot build a serious game-development ecosystem on unstable infrastructure alone.

Power matters.

Internet connectivity matters.

Hardware matters.

Storage matters.

Cloud and GPU access matters.

And multiplayer gaming adds latency and server requirements.

A recent discussion of Nigeria's gaming ecosystem highlighted electricity, connectivity, venues and funding as significant infrastructure constraints.

For developers, these aren't abstract policy problems.

They directly affect build times, testing and deployment.

Funding Is Difficult.

The African games industry also has a funding problem.

The 2025 Africa Games Industry Report found that only 3% of surveyed game developers had received government funding.

That makes it difficult for studios to move from:

Prototype → Team → Product → Users → Revenue

because many teams struggle to get past the first two stages.

Game investors also need a different mindset from conventional SaaS investors.

A game may have millions of downloads and still need a sophisticated monetisation strategy.

There Is a Training Gap.

If someone in Nigeria wants to become a frontend developer, there are countless learning resources.

Want to become a cybersecurity analyst?

There are bootcamps and certifications.

Want to learn data analysis?

There are courses everywhere.

But what if you want to become a:

Gameplay programmer? Technical artist? Game designer? Level designer? Game producer? 3D environment artist?

The specialised training ecosystem is much smaller.

That is an opportunity for technology academies and innovation hubs to expand the definition of what "learning tech" means.

TEKHUB, for example, is part of Nigeria's broader practical technology-training ecosystem. As that ecosystem develops, opportunities exist to expose learners to more specialised technology disciplines.

Nigeria Actually Has Examples

The ecosystem isn't empty.

Maliyo Games has been developing mobile games for African and international audiences and supporting game-development initiatives across the continent.

Nigeria also took part in Gamescom 2026 with a "Games from Nigeria" pavilion, signalling increasing international visibility for local game developers.

What Could Developers Build?

The opportunity isn't limited to AAA console games.

Think:

Mobile games
Educational games
African storytelling
Esports platforms
Game infrastructure
Gamification
AR/VR
Interactive learning
Game analytics
Developer tools

Nigeria's mobile-first market also makes mobile development particularly interesting. African industry research has consistently shown mobile as a dominant platform.

The Bigger Technical Opportunity

There's another reason Nigerian developers should pay attention to games.

Game technology doesn't stay inside games.

Game engines, real-time rendering, simulation, networking and interactive 3D increasingly have applications outside entertainment.

That means building game-development expertise can contribute to broader technical capabilities.

Final Thought

Nigeria doesn't necessarily need to produce the next GTA tomorrow.

It needs to create an ecosystem where a Nigerian developer can build a small game, launch it globally, find users, monetise it and grow a company around it.

The question isn't whether Nigerians love games.

They clearly do.

The question is whether Nigerian technology will eventually become part of what they are playing.

Content Creators, Public Filming, and Data Privacy in Nigeria

Tekk NG — Mon, 21 Sep 2026 12:03:34 +0000

A smartphone camera, an editing application, and an internet connection can turn an ordinary moment into viral content.

But from a privacy and engineering perspective, there is an important question:

When a creator records an identifiable person and publishes the footage, what responsibilities arise?

The Nigeria Data Protection Commission (NDPC) recently warned content creators against photographing or recording unsuspecting members of the public and publishing the content without consent. The Commission referenced street-based reality-style content and stated that processing images in such circumstances requires consent unless another lawful basis can be established.

Public Data Is Not Automatically Free-to-Use Data

Developers and creators should distinguish between information that is visible and information that can be freely collected, processed, and redistributed.

A person’s face, voice, or other identifiable features may constitute personal data. The fact that an individual appears in a public location does not automatically resolve questions about purpose, fairness, consent, or lawful processing.

The legal assessment depends on context. The NDPC’s statement should not be interpreted as a blanket prohibition on every photograph taken in public. However, creators should not assume that public location provides unrestricted permission to publish identifiable people for entertainment.

A Basic Privacy-Aware Content Workflow

A content production system could include a privacy review before publication.

This is a simplified conceptual workflow, not a substitute for legal advice.

What Developers Can Build:

If a platform supports user-generated video, developers can incorporate privacy-related features such as:

Consent Records

Store when and how a participant agreed to be recorded, where appropriate.

Face Blurring

Provide tools to obscure individuals who are not intended subjects of the content.

Review Queues

Allow moderators or content owners to review videos before publication.

Reporting Systems

Give individuals a clear way to report unauthorised or harmful appearances.

Audit Logs

Track changes to content, moderation decisions, and removal requests.

These features do not guarantee legal compliance, but they can support better privacy practices.

Consent Should Be Designed Into the Product

Consent should not be treated only as a checkbox added at the end of a project.

A responsible product design may explain:

What data is being collected.

Why it is being collected.

Where the content will be published.

Whether it will be monetised.

How a participant can raise concerns.

The level of information and consent required depends on the circumstances and applicable law.

Platform Accountability

The NDPC directed platforms including TikTok, X, and Meta to strengthen enforcement of community guidelines. It also warned that platforms could face sanctions for failing to respond promptly to harmful unlawful or unfair processing.

This creates an opportunity for developers to think beyond engagement metrics and consider privacy-by-design principles.

Practical Checklist for Creators and Developers

Before publishing content featuring identifiable people:

Identify the purpose of the recording.
Determine whether consent is required.
Explain the intended use to participants.
Avoid unnecessary personal information.
Consider blurring or anonymisation.
Provide a reporting or removal process.
Review applicable privacy laws and platform policies.

Digital professionals need skills in both technology implementation and responsible technology use. Training environments such as TEKHUB can support practical learning in areas including software development, cybersecurity, and digital technology.

Final Thought:

A technically functional content platform is not necessarily a responsible one.

When building tools for recording, publishing, and sharing content, developers should ask:

Can this system help users create freely while also protecting the people captured by the camera?

WhatsApp Business Platform Pricing in Nigeria: What Developers and Businesses Should Know

Tekk NG — Fri, 18 Sep 2026 15:13:30 +0000

Meta is expected to introduce new per-message charges for businesses using the WhatsApp Business Platform in Nigeria from October 1, 2026.

The reported rates are:

Service messages: ₦14 per message

Marketing messages: ₦84 per message

Payment method deadline: September 30, 2026

For developers building customer support tools, CRM integrations, notification systems, and marketing automation, this is more than a pricing update. It is also an opportunity to review how messaging systems are designed and monitored.

First: Identify the WhatsApp Product

The WhatsApp Business app and WhatsApp Business Platform are not identical.

The platform is used for more advanced integrations, including:

Automated messaging

CRM systems

Customer support dashboards

Chatbots

Transaction notifications

Marketing workflows

The reported charges primarily concern platform-based business messaging. Developers should verify the exact pricing and eligibility rules through Meta’s official documentation rather than assuming that every WhatsApp message is billable.

Why Message Classification Matters

A messaging application should not treat every outgoing message as the same.

In a production system, the message category should be determined through a properly designed business workflow and validated against the applicable WhatsApp policies.

The system should also maintain records of:

Message category

Delivery status

Timestamp

Campaign identifier

Customer consent where applicable

Cost estimate

Error response

Build Cost Visibility Into the System

If message costs affect business operations, developers can help by creating dashboards that track message volume and estimated expenditure.

This is only a simplified illustration. Real systems should use the current official pricing rules, handle different message categories, and avoid treating estimated costs as confirmed invoices.

Reduce Unnecessary Messaging

Developers can also improve system efficiency by implementing:

Idempotency

Prevent duplicate notifications when a request is retried.

Message Queues

Manage high-volume messages without overwhelming downstream services.

Logging

Track which system or workflow generated a message.

Monitoring

Identify failed deliveries, unusual message spikes, and unexpected campaign activity.

Approval Workflows

Require human review before launching large marketing campaigns.

Privacy and Consent Still Matter

Cost management should not override user privacy.

Businesses and developers must consider consent, data protection, access control, secure storage, and applicable messaging policies when building communication systems.

A cheaper messaging workflow is not useful if it creates privacy risks or damages customer trust.

Preparing Before October 1

Teams using the WhatsApp Business Platform should:

Confirm the account and billing model.

Review Meta’s latest pricing documentation.

Add or verify a payment method before September 30.

Audit message templates and automation.

Track delivery and message categories.

Review campaign budgets.

Developers building digital products in Nigeria also benefit from practical training in APIs, backend development, databases, automation, and security. Technology learning environments such as TEKHUB provide opportunities to explore these skills. Learn more at www.tekhub.ng
.

Final Thought

Platform pricing is part of software architecture when your application depends on an external communication provider.

Developers should not only ask, “Can we send the message?”

They should also ask:

“Why are we sending it, how is it classified, what does it cost, and how can we monitor the entire process?”

What Is Stopping Nigeria From Building More of Its Own Technology?

Tekk NG — Thu, 17 Sep 2026 12:35:34 +0000

Nigeria has a growing developer community and an expanding digital economy. Yet, much of the infrastructure, hardware, software platforms, and technical tools used across the country are imported or depend heavily on foreign providers.

This creates an important engineering and ecosystem question:

Why is Nigeria producing more technology users and developers than locally owned, scalable technology products?

The answer involves more than programming skills.

Building an App Is Not the Same as Building Technology Infrastructure

Many technology products can be built using existing cloud platforms, APIs, frameworks, payment gateways, and third-party services.

This is useful because developers can build faster. However, it also means that the underlying infrastructure may be owned and controlled outside the country.

There is nothing inherently wrong with using global tools. The problem emerges when local businesses lack the ability to develop alternatives, adapt critical systems, or maintain technical independence in important sectors.

The Research-to-Production Gap

A research paper or prototype is only one stage of technology development.

A simplified production pipeline looks like this:

Research
↓
Prototype
↓
Testing and Validation
↓
Security and Compliance
↓
Funding
↓
Deployment
↓
Maintenance and Scale

Many innovations struggle between the prototype and production stages.

Developers and researchers may lack access to:

Testing facilities

Production-grade infrastructure

Investment

Hardware components

Experienced technical mentors

Enterprise customers

Regulatory guidance

This is where stronger collaboration between universities, industry, investors, and government becomes necessary.

Infrastructure Affects Engineering Decisions

Software engineers need reliable electricity, internet access, computing power, and affordable development tools.

Hardware and deep-tech innovators face additional challenges involving laboratories, components, manufacturing, testing, and certification.

When these resources are expensive, teams often optimise for short-term delivery rather than long-term ownership.

For example, a startup may use an external API because building its own model or infrastructure is financially unrealistic. That may be the right business decision at the time, but the ecosystem still needs pathways for local companies to eventually develop more advanced capabilities.

Localisation Matters

Imported technology is not always designed for Nigeria’s specific conditions.

Local developers can create value by building systems that account for:

Local languages

Connectivity limitations

Payment behaviour

Energy constraints

Local regulations

Sector-specific workflows

Nigerian user experience patterns

Local technology development should therefore include both new invention and thoughtful adaptation.

Skills Must Extend Beyond Frameworks

Learning HTML, CSS, JavaScript, Python, or a framework is a useful starting point. But building nationally important technology requires broader technical and professional knowledge.

Developers may also need to understand:

System architecture

Data engineering

Cybersecurity

Cloud infrastructure

Testing

Observability

Product management

Open-source collaboration

Intellectual property

Technical documentation

Practical training environments such as TEKHUB can help learners build a stronger foundation through applied technology education and project-based development.
.

Open Source Can Help, but It Is Not Enough

Open-source software provides an opportunity for Nigerian developers to contribute to global projects, build local tools, and reduce development costs.

However, sustainable technology production also requires businesses, maintainers, funding, infrastructure, and users.

A project can be technically impressive but still fail if it has no maintenance plan, business model, documentation, or reliable deployment process.

What Should Nigeria Focus On?

Nigeria does not need to recreate every technology independently.

Instead, it can focus on strategic areas where local knowledge and market needs create an advantage:

Agricultural technology

Healthcare systems

Education technology

Energy management

Financial infrastructure

Cybersecurity

Local-language AI

Public-sector technology

Industrial automation

The objective should be to move from simply integrating foreign tools to also designing, owning, maintaining, and exporting competitive solutions.

What do you think is the biggest barrier for Nigerian developers: funding, infrastructure, access to users, research opportunities, or the difficulty of scaling products?

Agentic AI in Nigeria: Why Huawei’s Cloud Launch Matters to Developers

Tekk NG — Wed, 16 Sep 2026 14:20:44 +0000

AI development is moving beyond prompt-and-response interfaces.

The next wave involves systems that can:

Plan tasks.

Call APIs.

Read and write to approved data sources.

Execute workflows.

Coordinate multiple tools.

Request human approval.

Monitor the results of their actions.

This is the basic idea behind agentic AI.

Huawei recently launched Agentic AI Cloud-related solutions in Nigeria at its AI and Cloud Summit in Lagos. The move highlights how cloud providers are preparing infrastructure for applications that do more than generate text or answer questions.

What Makes an AI System “Agentic”?

A simple LLM interaction might look like this:

User prompt → Model response

An agentic workflow could look more like this:

User goal
↓
Task planning
↓
Tool/API selection
↓
Action execution
↓
Result evaluation
↓
Next step or human approval

The architecture will differ depending on the application, but agentic systems commonly combine a model with tools, memory or state, orchestration logic and access permissions.

For example, a support agent might:

Receive a customer request.

Search a knowledge base.

Retrieve account information through an API.

Suggest an action.

Escalate sensitive or unusual cases to a human operator.

The agent should not automatically receive unrestricted access to the company’s systems.

Why Does Huawei’s Launch Matter?

AI agents need infrastructure

Developers building agents need more than an AI model. Production applications may require:

Compute resources

Databases

Vector search

API gateways

Identity management

Logging

Monitoring

Security controls

Evaluation pipelines

Cloud providers are positioning their platforms to support these requirements. Huawei’s Agentic AI Cloud initiative shows how infrastructure companies are responding to the growing interest in agent-based applications.

Nigerian developers can build local use cases

Agentic AI does not have to be limited to imported demonstrations. Developers in Nigeria could explore applications for:

Banking and financial support

Healthcare administration

Education

Agriculture

Logistics

Customer service

Government information services

Cybersecurity operations

The most useful applications will be those designed around specific local problems, available data and realistic deployment conditions.

Security becomes more complicated

When an AI agent can call tools or interact with external systems, its attack surface expands.

Potential risks include:

Prompt injection

Excessive permissions

Data leakage

Unsafe tool execution

Inaccurate decisions

Uncontrolled loops

Malicious instructions in retrieved content

A useful development principle is:

Give an agent only the permissions it needs to complete its task.

Developers should also separate planning from high-risk execution, validate tool inputs, record actions and require approval for consequential operations.

A production agent needs stronger controls, including authentication, error handling, timeouts, tool validation, isolation and comprehensive testing.

Why Cloud Skills Matter

As agentic AI becomes more common, developers may need to understand how models interact with cloud services, databases, APIs and enterprise applications.

Learning software development, cloud computing, cybersecurity and data engineering can provide a stronger foundation than focusing only on prompt writing.

For learners building their technical foundation in Nigeria, TEKHUB
is one platform they can explore as part of the wider technology-learning ecosystem.

Huawei’s Bigger AI Strategy

Huawei has forecast that autonomous agents could account for more than 90% of global AI token traffic by 2035. This is a corporate forecast, but it reflects the company’s expectation that agentic systems will create substantial demand for computing infrastructure and security technologies.
Reuters
+1

For developers, the important takeaway is not to assume that every application needs an AI agent. Instead, ask:

Does the problem require multi-step reasoning?

Are the required tools reliable?

Can the agent’s actions be constrained?

Is there a human escalation process?

Can the system be tested and audited?

Final Thoughts

Huawei’s Nigerian launch is another indication that agentic AI is moving from research discussions into enterprise infrastructure.

The opportunity for developers is to build practical systems that solve real problems, not simply to add an AI agent to every application.

The strongest implementations will combine useful automation with sound software engineering, security and human accountability.

Africa's AI Future: From Consuming Tools to Building Them

Tekk NG — Tue, 15 Sep 2026 13:28:16 +0000

There is an interesting shift happening in how we talk about technology in Africa.

For years, the dominant model was:

Build technology elsewhere → bring it to Africa → Africans adopt it.

AI creates an opportunity to change that model.

Instead of only asking "Which AI tool should we use?", we can start asking:

"What AI tools should we build?"

That was one of the strongest ideas emerging from a recent Techeconomy Business Series discussion on AI, talent and the future of work.

The Four Cs developers shouldn't ignore

Kamal Dandina described four competencies that will remain important as automation increases:

Critical thinking
Creativity
Communication
Character

At first glance, none of these sounds particularly technical.

But they matter enormously to developers.

Critical thinking

An LLM can generate code.

That doesn't mean the code is correct.

A developer still needs to understand:

Why the code works
When it fails
Whether it is secure
Whether it scales
Whether it actually solves the problem

AI increases the amount of code we can produce.

Critical thinking determines whether we should ship it.

Creativity

If AI can generate a hundred implementations, the valuable question becomes:

What should we build in the first place?

Developers who understand users and can identify meaningful problems will remain valuable.

Communication

Modern software is rarely built alone.

Developers communicate with designers, product managers, users, security teams and other engineers.

AI doesn't remove that requirement.

Character

This one is particularly relevant to AI.

Just because you can automate something doesn't mean you should.

Developers increasingly have to think about privacy, security, bias, consent and the consequences of automated decisions.

Africa needs to move up the stack

There is a huge difference between having millions of people using AI and having companies capable of building AI products.

Africa needs both.

The continent needs users who understand how to apply AI productively.

But it also needs:

AI engineers
Data scientists
ML researchers
Software engineers
Cloud engineers
Cybersecurity professionals
Product builders
AI safety and governance specialists

Robert B. Duke argued during the discussion that African companies should invest in creating and owning AI technologies rather than simply licensing foreign tools.

That's a much bigger ambition than becoming good at prompt engineering.

Build for African problems

Imagine AI systems designed specifically for:

African languages
African agriculture
African healthcare
African education
African logistics
African financial systems
African cybersecurity
African public services

The goal isn't to build "African versions" of every global product.

It's to identify problems where local context creates an advantage.

That is where context matters.

A model designed around the assumptions of another market may not understand the realities of a Nigerian user.

Local builders can.

But don't skip the guardrails

More AI development also means more responsibility.

The panel specifically raised concerns around data protection, confidentiality and human oversight. Automated systems should not simply be allowed to make consequential decisions without appropriate human accountability.

For developers, this means responsible AI needs to be considered during development, not after deployment.

What does this mean for someone learning to code?

It means you shouldn't think of your career as:

HTML → CSS → JavaScript → framework → job.

Those fundamentals still matter.

But the long-term opportunity is much wider.

Learn how systems work.

Learn how data moves.

Understand APIs.

Understand databases.

Explore AI.

Learn cybersecurity fundamentals.

Build actual projects.

And most importantly, learn how to identify problems worth solving.

Technology-training ecosystems such as TEKHUB[www.tekhub.ng] are helping Nigerian learners build foundations across software development and emerging technology fields.

From users to builders

GITEX Nigeria 2026's theme, "Beyond Connectivity: The Bridge to Sovereign AI and Innovation," captures the larger direction: Nigeria and Africa need to strengthen their capacity to build and deploy technology, not simply consume it.

So here's the question I'd leave developers with:

Are we preparing ourselves to use the next generation of AI or to build it?

Because those are two very different opportunities.

GITEXNigeria2026 #NigerianAI #TechInNigeria #AIforGood