Truth is tentative, and certainty elusive. Nothing is pinned. To know is to kill. What remains is keeping the conversation open. It is the only path to make sense of the last edit and to listen honestly. Genuine understanding is not a solitary, objective method, but an interplay of perspectives. The participants in a true conversation are less the leaders of it than the led, allowing the exchange to take its own course and reach its own unpredictable end.
To engage in genuine dialogue, one must be open to the “Other” and “Otherness”. This requires an ethical stance of humility and sensitivity, where one risks one’s own prejudices being called into question. Today, in human learning, the pace of digital transformation exceeds our capacity to make sense of everything.
Once, the identities and talents of leadership team members were hammered out through reflective practice, grit, serendipitous moments, mentor feedback, wisdom accumulated from failure, blunders, resilience, and judgement. We now ask: What disappears when artificial intelligence (AI) does this for us? What is left for us to do?
AI is disrupting the slow, demanding process of revisions, recursions, and reruns. It removes the frustration, the long hours, and the experiences that shape us. All of it is at risk of being engineered away by vibe coding tools like “Lovable”, “Cursor” and “Cognition”. Vibe coding tools enable developers to collaborate with AI agents through natural language, shifting our focus from low-level syntax to high-level vision and intent.
They democratise software development, accelerate workflows, and reconfigure cognitive tasks among human agents and AI. “Lovable” allows anyone to build websites and Apps with just a written prompt. “Cognition” is a key player primarily through its flagship product, Devin. Instead of writing code line by line, developers converse with Devin to describe their goals in natural language. Devin translates these high-level intents into executable code, handling intricate implementation details autonomously.
Devin is capable of planning, debugging, and executing multi-step tasks. By offloading technical execution, developers can focus on creative vision and rapid prototyping. Teams quickly convert functional requirements described in natural language into Minimum Viable Products (MVPs) for testing and validation.
Offloading monotonous and time-consuming “boilerplate” coding, such as generating unit test templates, API scaffolding, or implementing standard functionalities frees human developers to focus on higher-value work. This can power cross-functional collaboration. Non-developers, including business analysts, agile product managers, product owners and designers can create functional software using plain language, which accelerates feedback loops and innovation across sprint teams.
“Cursor” is an AI-powered code editor built by the “Anysphere” team. Cursor quickly turns ideas into working code, allowing immediate testing of flows and interactions. It offers innovative, contextual code suggestions and completions directly in the editor, reducing key strokes. It can explain a function, make changes in place, help fix errors, and intelligently apply corrections across multiple files in a project. “Cursor” helps build specialised internal tools that perfectly fit specific team needs.
AI will undoubtedly accelerate learning and change the way we work. But accelerated learning is not development. Acceleration will increase the outputs. Development transforms our identity. These are not interchangeable. AI may not be able to take over the experiences that build mastery. During the COVID-19 pandemic, we worked under extraordinary conditions. The number of meetings increased, and workloads were crushing.
The digital solutions created an overload. There was more activity, not necessarily better quality thinking. What was taken away was the time to think deeply and read critically, and the chance to build a reflective practice that develops from a repertoire of skills and competencies that emerge over time in a community of practice.
Spaces for reflection and deep work contracted during the pandemic. With AI, we risk repeating this error on a larger scale. COVID-19 expanded the volume of meetings. AI expands the volume of content. “Cursor”, “Cognition”, and “Lovable” enable faster, more agile sprints, reduce friction, and require fewer corrections. AI-generated slide decks and summaries are multiplying faster than squads can interpret and prioritise them. We are producing more but thinking less.
Automated knowledge leaves less space for reflective practice and creative work. The new reality is a multiplying of noise that crowds out the conditions for learning, including stillness, mindfulness, and the white space for deep thinking. Days will become crowded with AI-generated content, but with fewer moments to interpret, integrate, and question.
Vibe coding tools also shift workspace developmental opportunities and exposure. Leaders nurture discernment, intuition, caring, moral reasoning, and empathy among team members. These capabilities are notoriously knotty to foster. Empathy is developed through repeated exposure to emotional nuance, dialogue, navigating ambiguity and tension inside the interstices of friction points in interpersonal relationships. Vibe coding is reshaping how we work, make choices, and learn.
Dr Fazal Ali completed his Master’s in Philosophy at the University of the West Indies. He was a Commonwealth Scholar who attended the University of Cambridge, Hughes Hall, and was the provost of the
University of Trinidad and Tobago, the acting president, and chairman of the Teaching Service Commission. He is presently a consultant with the IDB. He can be reached at fazalalitsc@gmail.com
