Sunday, January 25, 2026

Decoding AI Tribalism: Insights and Implications

Embracing Change in AI and Software Development

In a rapidly evolving tech landscape, 2025 marked a pivotal shift in my programming approach—driven largely by the uprising of Large Language Models (LLMs). Once skeptical, I now find that approximately 90% of my code is generated by tools like Claude Code. Here’s what I’ve learned:

  • Transformation: My resistance was rooted in doubts about LLM utility, but today, they significantly enhance my productivity.
  • Debate Dynamics: Ongoing discussions in tech circles often devolve into tribalism, clouding the potential of AI advancements.
  • Real-World Application: I’ve witnessed tangible improvements in code quality and efficiency, pushing me to rethink the role of traditional programming.

As we navigate this uncertain terrain, let’s encourage innovation while remaining curious. Share your thoughts: How has AI reshaped your experience in tech?

👉 Engage with this post and share your insights!

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