Navigating AI Collaboration: A Personal Journey
In the evolving landscape of AI tools, I’ve encountered a recurring challenge: many LLMs, like Cursor and Claude, often feel like they’re taking control rather than collaborating. While they can execute tasks efficiently, the disconnect emerges when I’m left to reverse-engineer extensive edits.
Key Insights from My Experience:
- Collaboration over Delegation: I seek a partner, not an intern. The goal is a productive partnership that enhances my work without losing my voice.
- Tighter Feedback Loops: Staying engaged with tools means managing smaller, more iterative edits that allow for real-time corrections.
- Custom Spec DSL: I’ve developed a streamlined process with a DSL for specs, integrating them into my workflow to ensure the LLM supports rather than overshadows my intent.
As AI trends push toward autonomy, I advocate for a balanced approach. Are you prioritizing collaboration or delegation? Share your experiences below!
