Generative AI is sparking fears of job loss, but history shows work doesn’t disappear, it evolves. While AI challenges what humans uniquely “know,” creativity, judgment, and intuition keep us in the game. The future may not erase our jobs, but redefine them.
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Discover how Mubarak turned his passion for software engineering into a career through Ingage Partners’ Thrive Accelerator, where hands-on mentorship and a supportive developer community helped him build skills, confidence, and real-world experience.
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UX is a popular career path today, but stepping into consulting within the IT sector brings its own unique challenges and rewards. In this first installment, I share what it’s really like to juggle multiple stakeholders, adapt quickly to new environments, and thrive in a role that offers variety and growth - while balancing the trade-offs of less stability and higher expectations.
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At Ingage Partners, we bring developers together each month for C3: Code, Craft, Community: a meetup focused on learning, collaboration, and growth. August’s challenge, Packet Inspector 9000, pushed participants to explore new languages, testing styles, and performance strategies while tackling a playful coding kata. More than the code itself, the real takeaway was the creativity, shared learning, and community built along the way.
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Being a good steward of a codebase means more than just writing functional code, it’s about contributing in a way that respects the team and the work that came before you. In this blog, we share three practical tips: assimilate the existing style to keep the codebase consistent and readable; communicate before making changes to avoid unnecessary risk or confusion; and lead with compassion when working with legacy code, recognizing that every line was written under different circumstances.
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At July’s C3: Code, Craft, Community meetup, we focused on designing for testability. Using a real-world scheduling problem, developers practiced Test Driven Development, pure functions, and the Single Responsibility Principle to break down complexity and write cleaner, more testable code.
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