Technology
AI-Based Test Automation Tools: Shaping the Future of Software Testing
In the dynamic landscape of software development, things are changing fast for the betterment of everyone. DevOps, Agile, Continuous Testing, TestOps, DevTestOps, all these practices are taking product quality to a new peak every day.
The emergence of AI-based test automation tools marks a pivotal shift towards more intelligent, efficient, and reliable testing processes. These tools are not mere enhancements to traditional testing methods; they are revolutionizing the way developers and testers approach software quality assurance.
By harnessing the power of artificial intelligence, these tools are addressing some of the most pressing challenges in software testing, offering innovative solutions that were once thought impossible.
Adaptive Test Maintenance
Maintaining test scripts and cases is a constant challenge in traditional test automation, often requiring significant manual effort as applications evolve. AI-based test automation tools shine in this area by offering adaptive test maintenance. These tools can automatically update and modify test scripts as changes occur in the application, significantly reducing the manual workload and ensuring that tests remain relevant and effective. This adaptability not only saves time but also increases the overall robustness of the testing process.
Integration with DevOps and Agile Methodologies
Integrating AI-based test automation tools with DevOps and Agile methodologies creates a more seamless and dynamic software development lifecycle. These tools can swiftly adapt to changes and updates, providing immediate feedback to developers. This integration ensures that testing is not a bottleneck but a facilitator of rapid development cycles, aligning perfectly with the goals of Agile and DevOps practices.
This unity not only speeds up the release cycle but also ensures that the quality is maintained, even with frequent and incremental changes.
Enhancing User Experience Through AI
Beyond just identifying bugs and technical issues, AI-based test automation tools are increasingly focusing on enhancing user experience. By analyzing user behavior patterns and feedback, AI algorithms can simulate real-world user interactions to test different aspects of the application, such as usability, accessibility, and responsiveness. This approach ensures that the software is not only technically sound but also aligns with user expectations and preferences.
Bridging the Skill Gap
The complexity and sophistication of AI-based test automation tools necessitate a new set of skills in the software testing community. There is a growing demand for professionals who understand both the nuances of software testing and the intricacies of AI and machine learning.
To bridge this skill gap, organizations and educational institutions are offering specialized training and courses. These initiatives are crucial in preparing the current and future workforce to effectively utilize AI in software testing, ensuring that the industry can fully leverage the benefits of these advanced tools.
Conclusion
AI-based test automation tools are not just reshaping the present landscape of software testing; they are paving the way for a future where testing is more intelligent, efficient, and aligned with user needs. As these tools continue to evolve and integrate with methodologies like DevOps and Agile, they offer a promising outlook for the software development industry.
The journey towards more advanced AI-driven testing is an exciting one, filled with opportunities for growth, improvement, and the delivery of software that not only meets but exceeds expectations.
Technology
Lagos’ Team Nevo Wins 3MTT Southwest Regional Hackathon
By Adedapo Adesanya
Lagos State’s representative, Team Nevo, won the 3 Million Technical Talent (3MTT) South-West Regional Hackathon, on Tuesday, December 9, 2025.
The host state took the victory defeating pitches from other south west states, including Oyo, Ogun, Osun, Ekiti, and Ondo States.
This regional hackathon was a major moment for the 3MTT Programme, bringing together young innovators from across the South-West to showcase practical solutions in AI, software development, cybersecurity, data analysis, and other key areas of Nigeria’s digital future.
Launched by the Federal Ministry of Communications, Innovation, and Digital Economy, the hackathon brought together talented young innovators from across the Southwest region to showcase their digital solutions in areas such as Artificial Intelligence (AI)/Machine Learning, software development, data analysis, and cybersecurity, among others.
“This event not only highlights the potential of youth in South West but also advances the digital economy, fosters innovation, and creates job opportunities for our young people,” said Mr Oluwaseyi Ayodele, the Lagos State Community Manager.
Winning the hackaton was Team Nevo, made up of Miss Lydia Solomon and Mr Teslim Sadiq, whose inclusive AI learning tool which tailors academic learning experiences to skill sets of students got the top nod, with N500,000 in prize money.
Team Oyo represented by Microbiz, an AI business tool solution, came in second place winning N300,000 while Team Ondo’s Fincoach, a tool that guides individuals and businesses in marking smarter financial decisions, came third with N200,000 in prize money.
Others include The Frontiers (Team Osun), Ecocycle (Team Ogun), and Mindbud (Team Ekiti).
Speaking to Business Post, the lead pitcher for Team Nevo, Miss Solomon, noted, “It was a very lovely experience and the opportunity and access that we got was one of a kind,” adding that, “Expect the ‘Nevolution’ as we call it, expect the transformation of the educational sector and how Nevo is going to bring inclusion and a deeper level of understanding and learning to schools all around Nigeria.”
Earlier, during his keynote speech, the chief executive officer (CEO) of Sterling Bank, Mr Abubakar Suleiman, emphasised the need for Nigeria’s budding youth population to tap into the country’s best comparative advantage, drawing parallels with commodities and resources like cocoa, soyabeans, and uranium.
“Tech is our best bet to architect a comparative advantage. The work we are doing with technologies are very vital to levelling the playing field.”
Technology
re:Invent 2025: AWS Excites Tech Enthusiasts With Graviton5 Unveiling
By Aduragbemi Omiyale
One of the high points of the 2025 re:Invent was the unveiling of Graviton5, the fifth generation of custom Arm-based server processors from Amazon Web Services (AWS).
Many tech enthusiasts believe that the company pushed the limits with Graviton5, its most powerful and efficient CPU, frontier agents that can work autonomously for days, an expansion of the Amazon Nova model family, Trainium3 UltraServers, and AWS AI Factories suitable for implementing AI infrastructure in customers’ existing data centres.
Graviton5—the company’s most powerful and efficient CPU
As cloud workloads grow in complexity, organizations face a persistent challenge to deliver faster performance at lower costs and meet sustainability commitments without trade-offs.
AWS’ new Graviton5-based Amazon EC2 M9g delivers up to 25% higher performance than its previous generation, with 192 cores per chip and 5x larger cache.
For the third year in a row, more than half of new CPU capacity added to AWS is powered by Graviton, with 98 per cent of the top 1,000 EC2 customers—including Adobe, Airbnb, Epic Games, Formula 1, Pinterest, SAP, and Siemens—already benefiting from Graviton’s price performance advantages.
Expansion of Nova family of models and pioneers “open training” with Nova Forge
Amazon is expanding its Nova portfolio with four new models that deliver industry-leading price-performance across reasoning, multimodal processing, conversational AI, code generation, and agentic tasks. Nova Forge pioneers “open training,” giving organizations access to pre-trained model checkpoints and the ability to blend proprietary data with Amazon Nova-curated datasets.
Nova Act achieves breakthrough 90% reliability for browser-based UI automation workflows built by early customers. Companies like Reddit are using Nova Forge to replace multiple specialized models with a single solution, while Hertz accelerated development velocity by 5x with Nova Act.
Addition of 3 frontier agents, a new class of AI agents that work as an extension of your software development team
Frontier agents represent a step-change in what agents can do. They’re autonomous, scalable, and can work for hours or days without intervention. AWS announced three frontier agents—Kiro autonomous agent, AWS Security Agent, and AWS DevOps Agent. Kiro autonomous agent acts as a virtual developer for your team, AWS Security Agent is your own security consultant, and AWS DevOps Agent is your on-call operational team.
Companies, including Commonwealth Bank of Australia, SmugMug, and Wester Governors University have used one or more of these agents to transform the software development lifecycle.
Unveiling Trainium3 UltraServers
As AI models grow in size and complexity, training cutting-edge models requires infrastructure investments that only a handful of organizations can afford.
Amazon EC2 Trn3 UltraServers, powered by AWS’s first 3nm AI chip, pack up to 144 Trainium3 chips into a single integrated system, delivering up to 4.4x more compute performance and 4x greater energy efficiency than Trainium2 UltraServers.
Customers achieve 3x higher throughput per chip while delivering 4x faster response times, reducing training times from months to weeks. Customers including Anthropic, Karakuri, Metagenomi, NetoAI, Ricoh, and Splash Music are reducing training and inference costs by up to 50 per cent with Trainium, while Decart is achieving 4x faster inference for real-time generative video at half the cost of GPUs, and Amazon Bedrock is already serving production workloads on Trainium3.
Technology
NITDA Alerts Nigerians to ChatGPT Vulnerabilities
By Adedapo Adesanya
The National Information Technology Development Agency (NITDA) has issued an advisory on new vulnerabilities in ChatGPT that could expose users to data-leakage attacks.
According to the advisory, researchers discovered seven vulnerabilities affecting GPT-4o and GPT-5 models that allow attackers to manipulate ChatGPT through indirect prompt injection.
The agency explained that hidden instructions placed inside webpages, comments, or Uniform Resource Locators (URLs) can trigger unintended commands during regular browsing, summarisation, or search actions.
“By embedding hidden instructions in webpages, comments, or crafted URLs, attackers can cause ChatGPT to execute unintended commands simply through normal browsing, summarization, or search actions,” they stated.
The warning followed rising concerns about AI-powered tools interacting with unsafe web content and the growing dependence on ChatGPT for business, research, and public-sector tasks.
NITDA added that some flaws allow the bypassing of safety controls by masking malicious content behind trusted domains.
Other weaknesses take advantage of markdown rendering bugs, enabling hidden instructions to pass undetected.
It explained that in severe cases, attackers can poison ChatGPT’s memory, forcing the system to retain malicious instructions that influence future conversations
They stated that while OpenAI has fixed parts of the issue, Large-Language Models (LLMs) still struggle to reliably separate genuine user intent from malicious data.
The Agency warned that these vulnerabilities could lead to a range of cybersecurity threats, including unauthorised actions carried out by the model; unintended exposure of user information; manipulated or misleading outputs; and long-term behavioural changes caused by memory poisoning, among others.
It advised Nigerians, businesses, and government institutions to adopt several precautionary steps to stay safe. These include limiting or disabling the browsing and summarisation of untrusted websites within enterprise environments and enabling features like browsing or memory only when necessary.
It also recommended regular updates to deployed GPT-4o and GPT-5 models to ensure known vulnerabilities are patched.
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