
The story behind the new Genius AI website: CMS developed in 10 days through AI
In the classic software development model, the creation or evolution of a corporate website with proprietary technology carried operational dependencies and high context-switching costs. The flow between business needs and final deploy went through extensive prioritization queues, technical refinement, manual coding, and slow quality testing cycles.
Often, the easiest path was to use ready-made CMSs (Content Management Systems), like the widespread WordPress. The problem is that this decision carried critical bottlenecks: performance and security.
With the advancement of artificial intelligence, the foundations of software engineering are being redefined, increasing the developer's ability to quickly understand business requirements, explore architectures, and decide on viable and secure paths.
AI as a partner in software engineering
When the challenge of building the new Genius AI website was presented to Ergito Vilanculos, Full-Stack Dev at Squadra, the goal went beyond publishing a landing page about the platform. The objective was to structure a scalable architecture with features that would allow the marketing team to have autonomy in content management, features that only robust CMSs possessed.
By applying advanced AI tools in the development cycle, technology shifted from a mere coding assistant to an agent for exploring and orchestrating the solution. Instead of long cycles of research, trial, and error, and manual refactoring, the developer and AI operated in an iterative and collaborative dynamic:
Advanced understanding: use of business context to feed AI tools, clarifying architectural doubts immediately with the guarantee that the AI is receiving the complete and correct context;
Exploration of alternatives: generation and comparison of multiple architectural scenarios without high developer time costs, who uses their holistic vision to evaluate the best path;
High-speed execution: conversion of design decisions into code, tests, and software increments in reduced cycles, opening space for deeper collaboration with the design team;
Continuous feedback: early product validation with the marketing team, project stakeholders, allowing for early course corrections and delivering a final product more aligned with the team's autonomy needs.
At all times, the marketing team was invited to give opinions, validate, and suggest changes and new features. As this iterative and collaborative cycle progressed, the delivery capability of this dynamic created between the developer, AI, and stakeholders deepened.
In the end, the result was a complete, proprietary CMS platform highly customized for the needs of the Squadra marketing team, featuring solutions such as: a page builder, automated internationalization, an AI agent integrated into the site, and total autonomy for site content management.
Culture as a safe space
The technological acceleration promoted by AI only reaches its full potential when supported by organizational culture. Squadra's AI Fluency pillar focuses on creating a safe space for people to study, explore, and live technology without fear of making mistakes.
AI fluency allowed the team to take calculated risks – such as building a platform from scratch instead of adopting a traditional market CMS – and deliver a tailor-made solution with the highest standard of security and performance.
Artificial intelligence enhances execution capabilities but does not replace critical vision, business context, and responsibility for the final product, which remain centered on humans.
The future of technical leadership belongs to professionals who, like Ergito Vilanculos, combine AI fluency, a culture of safe experimentation, and high rigor in software development. Technology acts as the amplifier, but strategy and human judgment guide the direction of business.


