brazil’s Future of Work Starts Here
How The Infnet Institute achieved Brazil’s highest academic rating on Coderbyte’s purpose-built coding interview platform

Academic Coordinator


Upgrading to purpose-built technology
Before Coderbyte, Infnet primarily relied on Replit’s educational mode as a collaborative coding environment. “The environment was helpful for collaborative coding, project submission, and basic performance tracking,” explains Alan Alonso, Academic Coordinator. “However, it was limited in scope and was never designed as a comprehensive talent assessment platform.”
Replit suffered from various limitations including the inability to conduct live coding assessments, which are essential for evaluating real-time problem-solving skills mirroring the demands of job interviews. Further, the platform lacked cheating detection capabilities for plagiarism, proctoring, and AI usage.
“This limited our ability to ensure fairness, integrity, and reliability in the evaluation process, making it harder to confidently measure whether students had truly mastered the required competencies,” Alonso says.
So Alonso’s team decided to find a purpose-built solution to scale their program. After evaluating TestGorilla, Codio, and others, The Infnet Institute selected Coderbyte.
to our operations, and Coderbyte offered a flexible plan structure that adapted well to our educational context while remaining cost-effective.
Building a next-generation edtech platform
Since adopting Coderbyte, Infnet has achieved measurable improvements in student learning and program quality. Assessments now serve as a progression filter, ensuring only students with solid technical foundations advance into higher-level courses.
By moving from Replit’s general purpose IDE to Coderbyte, Infnet differentiates itself through its pioneering approach to live online education. They’ve taken a pragmatic approach to AI recognizing its potential but focusing students on first mastering foundational skills.
“By integrating modern assessment platforms and robust evaluation methods, institutions can create a balance where AI is embraced as a transformative tool, but not allowed to replace the fundamental learning process,” Alonso concludes. “This approach ensures that students graduate not only with the ability to leverage AI effectively but also with the independent technical expertise required to thrive in advanced academic and professional settings.”
From an academic perspective, we have observed a tangible improvement in student performance: those who are initially not successful in the assessments often come back better prepared, demonstrating stronger mastery of the core competencies after additional study and practice.