On a humid Saturday afternoon in Yaba, Lagos’ technology nerve centre, a room full of senior engineers gathered to interrogate a question that has quietly unsettled the global software industry: is artificial intelligence coming for their jobs?
The Senior Golang Developers Meetup, held on February 21, 2026, tackled the issue directly under the theme, “Go Systems Design at Scale: Engineering in the AI Era.” Far from a beginner’s coding session, the event drew experienced engineers focused on architecture, resilience and long-term relevance in a rapidly shifting industry.
Yaba, often described as Nigeria’s Silicon Valley, has evolved beyond startup hype into a more deliberate ecosystem of mature engineering talent. The mood at the meetup reflected that shift. Conversations were less about learning syntax and more about survival in a world where AI tools are advancing at a speed that leaves little room for complacency.
Convener Ige Oluwasegun Oluwajubelo framed the discussion beyond the Go programming language. While Go anchored the technical sessions, he stressed that the broader mission was to separate AI myth from AI reality. Artificial intelligence, he said, is no longer a distant disruption but already embedded in daily developer workflows. Tools are shipping faster than ever, and what worked six months ago can quickly become obsolete.
Upskilling, he argued, has become a defensive strategy rather than a career enhancement. The meetup, organisers say, will become an annual fixture aimed at ensuring Lagos engineers remain proactive participants in the global AI shift rather than reactive observers.
Technical sessions reinforced that AI’s rise has not diminished the importance of strong infrastructure. Akinlua Bolamigbe, senior software engineer at Careem, part of Uber, emphasised that distributed systems remain the backbone of modern platforms. What has changed, he said, is the intensity of pressure on those systems.
AI-enabled products demand low latency, reliable data pipelines and resilient backend architecture. Languages such as Go, alongside Rust and TypeScript, continue to power backend services because of their performance and concurrency strengths. Bolamigbe pointed to his work on Invok, a self-hosted serverless framework, as evidence that scalability must be deliberately engineered, not assumed.
Tejiri Odiase, a specialist in Golang infrastructure, expanded on the integration challenge. AI may deliver the “intelligence,” he said, but production-grade systems built with robust engineering principles ensure that intelligence performs under real-world constraints. Designing reliable data and retrieval pipelines is now central to deploying AI-enabled applications at scale.
The most anticipated session, however, was a panel provocatively titled “AI Will Take Your Job.” Moderated by Tobi Adara, who works in payment infrastructure, the conversation avoided easy reassurances.
Abiodun Oyekunle, chief technology officer of Autobuyafrica.ai, argued that junior engineering roles are currently the most vulnerable. As AI tools increasingly handle basic implementations, entry-level engineers must accelerate their growth into mid-level problem solvers. Technology, he noted, is about architecture and logic, not merely writing syntax.
Other panellists shared how AI is already reshaping workflows. Samuel Alapakristi said his teams now use AI to generate unit tests and manage technical debt, freeing developers to focus on higher-impact business logic. Efemena Elvis, a senior engineer and team leader, observed that AI agents have reduced delivery timelines and employment costs, enabling smaller teams to execute work that previously required larger groups.
Aminat Shotade, founder of IDEA8LAB, warned against overreliance. She cautioned that excessive dependence on AI risks what she described as a “depreciation of brain capacity,” urging engineers to continue writing core logic themselves to preserve deep understanding.
Temilade Olarenwaju of American Tower offered a data-centred perspective, arguing that while AI can analyse information, it lacks the human-centred judgment required to interpret insights for business outcomes. Engineers, she said, must remain inquisitive and consistently question assumptions to align technical solutions with user needs.
By the end of the afternoon, consensus emerged: AI is unlikely to replace senior engineers, but it will redefine their roles. The most valuable skills in the AI era, participants agreed, are critical thinking, systems architecture and the ability to question the outputs of intelligent tools.
For Lagos’ senior developers, the message was clear. In the age of AI, relevance will belong not to those who code the fastest, but to those who understand the systems best.
