The routine of technology teams used to be defined by "wrestling with code syntax." Hours were spent polishing bits, resolving grammatical errors in programming languages, and undergoing extensive development cycles to deliver minimum viable products (MVPs). However, the rise of Generative Artificial Intelligence and integrated ecosystems is drastically redefining these boundaries.
In the innovation ecosystem, new concepts are emerging to respond to this change: Vibe Coding and Vibe Management. This is not a fad, but a methodological leap.
To further this discussion, the Builders by Skyone podcast brought together influential voices in the tech market: Robson Del Fiol (Executive Director of Education at Skyone), Wagner Lovat (Partner at Sosys and Skyone partner), and César Martins (Technical Education Specialist at Nubank, with experience at Happy Code and programming bootcamps).
Below, we analyze the main reflections from this meeting on how syntax abstraction, context orientation, and business alignment are shaping the new technology professional, the Builder.
The term Vibe Coding refers to the act of programming using Artificial Intelligence as a proactive partner. Instead of manually typing each line of code in traditional languages, the developer expresses their intentions in natural language. AI takes on the role of translating the intention and fitting the necessary code structures.
César Martins illustrated this dynamic by drawing on his experience teaching logic to children:
“What AI does today is have a very good ability to fit the Lego pieces together very quickly based on what you ask for in natural language. But knowing what each piece does — what a variable, a loop, a decision structure is — helps you be more critical of what it's delivering to you.”
— César Martins, Technical Education Specialist at Nubank
With Vibe Coding, syntax ceases to be the biggest barrier to entry for software creation. Concepts such as pseudocode, input/processing/output structures, and data architecture become more relevant than memorizing specific parameters.
Although industry figures suggest the end of the developer career due to automation, the consensus among experts is the opposite. The typewriter did not eliminate writers; similarly, LLMs will not eliminate engineers, but will radically transform their roles.
Read also: DevSecOps with AI: Automated security in software development
With the abstraction of traditional steps, from database design and interface design to infrastructure configuration, the figure of the Builder. The Builder is the professional who uses AI to translate a hypothesis or requirement directly into the delivery of commercial value. Wagner Lovat highlighted this change in profile:
“Vibe Coding provides a framework where these concepts are already embedded. What will truly set a developer apart now is how much business knowledge they have. A developer who understands business becomes an analyst who provides the foundation for the results that management needs.”
— Wagner Lovat, Partner at Sosys
When operational complexity is reduced through integration and data platforms, such as workflow automation via iPaaS and Lakehouse in Skyone Studio, prototyping speed increases exponentially. The focus shifts from how to write the line of code to what business problem is being solved.
If employees use Artificial Intelligence to generate deliverables, contracts, analyses, and code, what happens to leadership? It is from this question that the concept of Vibe Management.
Robson Del Fiol summarized the essence of this new administration:
“As a Vibe Manager, you have to be responsible for delivery. You can't just say 'it was the AI.' Artificial Intelligence is not a person and has no legal responsibility; everything falls on the manager or employee. You have to provide the context and guarantee the output.”
— Robson Del Fiol, Executive Director of Education at Skyoe
Vibe Manager doesn't prevent the use of AI due to compliance concerns, but rather empowers and enables the team. Its primary functions include:
Historically, the market has become accustomed to the concept of Minimum Viable Product (MVP), focused on the rapid delivery of the smallest functional version of a solution. In the era of agility driven by Vibe Coding, organizations are now aiming for MLP (Minimum Lovable Product).
| Concept | Main Focus | User Experience |
| MVP (Minimum Viable Product) | Technical feasibility and basic problem resolution. | It fulfills the primary requirement, often without refinement of the interface or usability. |
| MLP (Minimum Lovable Product) | Customer delight and immediate value generation. | It unifies engineering, design, and stability to ensure spontaneous adoption and retention. |
As highlighted during the podcast, the role of engineering in MLP goes beyond "avoiding embarrassment": it involves decomposing value to deliver resilience, high performance, low latency, and responsive interfaces.
To conclude the discussion, the guests shared a practical productivity "hack" for leaders and technology teams: the pursuit of Minimum Possible Complexity (MCP).
In an era filled with multi-agent orchestration, LLMs, and advanced integrations, the most common pitfall is over-engineering processes. Before building ultra-complex automated flows, the most efficient approach is to solve the real problem with the minimum layer of complexity necessary, ensuring scalability and ease of maintenance.
Want to delve even deeper into this discussion about Vibe Coding, Vibe Management, data engineering, and behind-the-scenes tech stories? Click to listen to the full episode of the Builders Podcast on Spotify and discover how to apply these concepts in practice in your company's day-to-day operations!
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