AI is no longer a futuristic concept - it’s embedded in how we work, write, code, communicate, and even think. I’ve been reflecting on a question that feels more urgent by the day:
What if AI usage, as it becomes more widespread, slowly erodes the very foundations of human learning and creativity?
“I know you remember.”
That’s what I say to ChatGPT when I want a brutally honest reflection of myself.
Not as a coach. Not as a therapist. But as an objective record keeper of the questions I’ve asked, the code I’ve shared, the decisions I’ve debated, and the doubts I’ve wrestled with.
And here’s the twist: if an AI knows you well enough to help you improve - could it also help others see you better?
Türkçe Versiyon - Yapay Zeka Sizi Özgeçmişinizden Daha İyi Tanıyor
Search has evolved.
We started with simple keyword search, improved it with full-text search, and are now entering the era of semantic search powered by vectors.
But here’s the reality: most software systems today are still stuck somewhere between keyword and full-text.
In this post, we’ll walk through:
pgvector + Ollama
Vibe coding feels fast and creative — like pair programming with an AI that never sleeps. But if you skip understanding and review, you’re not coding faster — you’re just deferring disaster.
Bu yazımda Gartner’ın Software Engineering Practices kategorisi altında yayımlanan “Software Engineering Teams Must Learn to Deliver More Value” makalesinde ele alınan konuların bendeki yansımalarını ve makale içinde yer alan bazı görüşleri sizlerle paylaşıyorum.
