The AI Revolution: A Perspective from Experience
The software industry is experiencing its most significant transformation since the advent of the internet. As someone who has spent over 15 years building software across E-commerce, UK Retail, Betting & Gaming, and Investment Banking, I’ve seen many technology shifts. But none compare to what AI and Large Language Models (LLMs) are doing to our craft.
The Wake-Up Call
For years, I led teams at companies like HSBC, delivering value through deep domain knowledge and hands-on technical expertise. We built systems the “traditional” way — meticulous planning, careful architecture, incremental implementation.
Then ChatGPT arrived. And everything changed.
What I’ve Learned
1. AI is a Multiplier, Not a Replacement
The fear that AI will replace developers is understandable but misguided. What AI does is multiply the capabilities of developers who learn to use it effectively. A developer with AI assistance can prototype in hours what used to take days.
2. The New Skill Set
The developers who will thrive are those who:
- Understand prompting as a skill — Writing effective prompts is an art that requires practice
- Know when to trust AI and when to verify — AI can hallucinate; expertise is still required
- Can fine-tune and customize — Generic AI is powerful, but domain-specific models are transformational
- Embrace continuous learning — The tools are evolving weekly, not yearly
3. Traditional Skills Still Matter
Despite all the AI hype, fundamental skills remain crucial:
- Understanding system architecture
- Debugging complex distributed systems
- Domain expertise in your industry
- Communication and leadership
AI makes these skills more valuable, not less.
My Current Focus
I’m now deeply invested in LLM fine-tuning, exploring how to create specialized AI assistants for specific domains. The combination of traditional software engineering expertise with modern AI capabilities is incredibly powerful.
With an RTX 5070 Ti and a passion for experimentation, I’m building the next generation of AI-assisted tools.
The Bottom Line
The industry has fundamentally changed. The choice is clear: Adapt to the LLM-driven world — or be gradually replaced by it.
This isn’t pessimism; it’s realism. And for those of us who embrace the change, it’s an incredibly exciting time to be in tech.
Want to discuss AI, LLMs, or software engineering? Get in touch — I’d love to hear your perspective.