YAKUB ABDULRASHEED – A South African technology startup, Exten AI, is seeking to change how entrepreneurs turn software ideas into working products by allowing people without coding experience to build applications using everyday language.
Launched earlier this year by Luncedo Simelane, the AI-powered platform converts natural-language instructions into production-ready applications while also providing the underlying infrastructure needed to run them.
Rather than stopping at generating a visual interface, Exten AI provisions essential backend components, including databases, file storage, user authentication and computing environments for autonomous AI agents.
Simelane describes the platform as “basically a digital tech co-founder to a non-technical entrepreneur with a great software idea,” capable of delivering what he calls a “production-ready stack in under 30 minutes.”
The startup is initially targeting South African small businesses and solo founders before expanding across Sub-Saharan Africa.
What to know about Exten AI
Exten AI is built around a relatively simple proposition: entrepreneurs should be able to turn software ideas into functional applications without first becoming programmers or hiring an entire technical team.
Users describe what they want in ordinary language, and the platform uses artificial intelligence to translate those instructions into applications that can be deployed and used.
The technology therefore sits within the rapidly growing category of AI-powered software development tools, but its founders say it is designed to address a problem that extends beyond simply generating code.
According to Simelane, many existing text-to-code platforms either primarily help professional developers write software faster or generate only the visible frontend of an application. Exten AI attempts to provide the less visible infrastructure as well.
“It is basically a digital tech co-founder to a non-technical entrepreneur with a great software idea,” Simelane said, describing the platform’s intended role in helping people move from an idea to a functioning product.
Building the infrastructure behind an app
The major distinction Exten AI is attempting to establish is its focus on the backend infrastructure that makes software functional after its interface has been created.
An application is more than the pages, buttons and dashboards that users see. Behind those elements are databases that store information, authentication systems that manage accounts, file-storage systems and computing environments that allow the software to operate.
Exten AI says its platform automatically provisions these components for applications generated through its system.
Simelane describes the challenge as the “plumbing problem”, arguing that the technical infrastructure behind software can become a major obstacle for entrepreneurs who have ideas but lack engineering expertise.
“Solo builders and small business merchants hit a brick wall because they don’t know how to deploy backend systems, structure relational databases, or handle security authentication,” he said.
“Exten AI solves this exact problem by acting as an automated technical partner.”
The approach is intended to make application development more accessible without reducing software creation to simply producing code.
Early users are already building applications
Exten AI’s proposition has moved beyond a concept, with early users reportedly creating applications during its testing phase.
The company’s first public release attracted more than 100 signups, but the resulting demand quickly exposed limitations in its initial infrastructure.
“Demand immediately outpaced our initial server capabilities,” Simelane said.
The startup subsequently moved into a closed-cohort testing phase as it worked to strengthen its infrastructure and manage the volume of application builds.
Among the applications already launched by early users are LedgerAI, designed for accounting automation; EduAgent, which supports teachers with lesson planning; and LuminaAI, a customised communication dashboard.
The company is also preparing a pilot programme with the University of Fort Hare’s Centre of Entrepreneurship and Rapid Incubator, where student founders are expected to use the platform to develop minimum viable products for their businesses.
An earlier proof of concept was endorsed on Sunday Sessions by Professor Mamokgethi Phakeng, former vice-chancellor of the University of Cape Town.
Scaling the technology has become a major challenge
While the concept has attracted early users, scaling the infrastructure required to support simultaneous application development has emerged as one of Exten AI’s biggest challenges.
Building an application through the platform can require the AI system to map out and provision databases, configure infrastructure and launch different components on the cloud.
When numerous users perform those processes simultaneously, the workload can become substantial.
“Having dozens of users simultaneously asking an AI engine to map out, provision, and launch complex database schemas live on the cloud caused massive infrastructure queues early on,” Simelane explained.
The company subsequently spent weeks redesigning parts of its architecture to separate and streamline the automated application-building processes.
The experience highlights a broader challenge facing AI software platforms, that is generating code may be relatively fast, but providing the computing infrastructure required to reliably execute thousands of complex operations at scale can be significantly more demanding.
Exten AI’s business model and expansion plans
Exten AI operates on a tiered software-as-a-service subscription model, meaning users can generate and test applications before paying a recurring fee when their products are launched publicly.
The company’s pricing is expected to reflect the resources consumed by each application, including server load, database storage and AI-agent usage.
Simelane said the company deliberately prioritised architecture optimisation during its closed-cohort phase to establish sustainable unit economics, meaning revenue during the early stage has remained limited.
The startup is now seeking ZAR1.5 million, approximately US$90,000, in investment to expand its server infrastructure and support thousands of concurrent application builds.
Exten AI is currently focused on South African small and medium-sized businesses and solo founders, but its longer-term ambition extends across Sub-Saharan Africa.
Simelane argues that the opportunity is driven by two parallel trends, which are; a shortage of software developers and a growing population of young entrepreneurs seeking digital tools.
“Emerging markets are experiencing a severe software developer shortage alongside an explosion of young entrepreneurs who need localised digital tooling to survive and scale,” he said.
Talking Point
Exten AI’s promise is compelling, particularly for African entrepreneurs who have ideas but cannot afford developers, yet its “describe it and build it” model deserves serious scrutiny.
Removing coding barriers does not remove the underlying technical complexity; it merely hides it.
A non-coder may successfully describe an application, but may not understand whether the resulting database is properly designed, authentication is secure, dependencies are trustworthy, or the system can withstand real-world attacks and heavy traffic.
AI-generated software still requires testing, security review, maintenance and informed human judgment; research and industry guidance continue to warn that users without technical expertise can struggle to identify flaws in AI-generated outputs.
The deeper concern, therefore, is not that Exten AI gives AI “too much” responsibility, but that it could give too much authority to people who cannot adequately supervise what AI builds.
Exten AI is valuable if it democratises prototyping; it becomes dangerous if “no-code” is mistaken for “no expertise required.”
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