2025 disappeared faster than a KSRTC bus just as you start running toward the stop. This year was a whirlwind of new AI tools, unexpected challenges, and late-night debugging marathons. At some point my browser history became a museum of panic learning:
- “RAG tutorial”,
- “Vector DB explained”,
- “GPT vs Claude vs Grok vs Gemini”
- “How to reduce token cost”
And yet… 2025 became the most transformative, fulfilling, and downright proud year of my 23 year-long career.
My 23 Year Journey Through the Evolution of Software (So Far)
My journey began 23 years ago with command-based programs and blue screens in FoxPro. Writing “Hello World” without any architecture felt like launching India’s next satellite, and floppy disks were my cloud storage. Somewhere in my archives is a photo from 2002 of me working on a command-based FoxPro application on a 150 MHz system. That machine had less power than today’s smartwatches, but it sparked a journey that shaped everything that followed.
Then came Windows apps, then web apps, all wrapped inside monolithic architectures. Later microservices arrived and changed everything.
And just when I thought I had seen it all… 2025 dropped the atomic bomb called AI-native architecture like:
- RAG architecture
- Vector DB architecture
- MCP architecture
- GenAI workflows
- Agent-driven designs etc. many architectures.!
I’ll admit it that I never started as an AI fan.
But technology kept tapping my shoulder saying, “Boss… please update yourself.”
So instead of ignoring AI, I decided to embrace it, learn it, and make it part of my toolbox and not my competitor.
A storm of learning: How AI reshaped 2025
2025 felt like a Kerala monsoon, heavy, surprising, sometimes overwhelming, but ultimately refreshing.
AI became a daily companion at work. Models like Banana Nano, Google Veo, and OpenAI’s Sora 2 surged in popularity. MCP quietly changed how AI integrates with real world tools. New releases arrived so quickly that learning itself became a full time pursuit.
At the same time, AI’s ability to create images and videos with near perfect realism was both exciting and unsettling. What once required studios, equipment, and teams could now be generated in minutes. Creativity was democratized, but so was the potential for misuse. As the line between real and synthetic continued to blur, trust, authenticity, and responsibility became as important as innovation itself.
Looks real!?!
