The founder of MLH shares his journey from aspiring lawyer to software engineer and explains the company's mission to empower developers through hands-on learning.
Hackathons are evolving beyond traditional developers to empower roles like marketing and product management to build software prototypes using AI.
AI enables more people to create disposable, personalized software, similar to how smartphones made everyone a photographer, while still preserving the need for professional developers.
AI lowers the barrier to entry for specialized skills, leading to a shift from siloed departments to more mission-driven, cross-functional teams.
The need for generalist 'full-stack' developers versus specialists is driven by a company's risk appetite and resources, not just a desire for a superhero employee.
The key to measuring hackathon ROI is to define the primary goal upfront, whether it's skill acquisition, talent recruiting, or rapid experimentation.
Major League Hacking is shifting Hacktoberfest's focus from generating contributions to encouraging the use and understanding of open source AI tools.
Open source is shifting from small utility libraries, which AI can now generate, to large, critical infrastructure projects that require community support.
MLH advocates for small, learning-focused prizes over large cash rewards, while also noting that Web3 hackathons remain popular in specific global markets.
Creating diverse and inclusive events requires an intentional strategy of using inclusive language, targeted outreach, and showcasing aspirational stories from underrepresented groups.
Jobs that call for the skills explored in this talk.