Embrace the AI Era: A Shift to Estimated Tokens to Merge (ETM)
When coding with AI, traditional time estimates fall short. That’s why I’ve adopted Estimated Tokens to Merge (ETM)—a transformative approach that views productivity through an AI-centric lens.
Why ETM Works:
- AI as a Partner: Time estimates become irrelevant; focus shifts to the agent’s token budget for feature development.
- Token Calibration: Current bands—from XS (20k) to XL (700k+)—help fine-tune project expectations and foster informed iterations.
New Development Mindset:
- Instead of merely coding, my role transitions to reviewing architecture, rules, and designs, enhancing productivity and collaboration.
- Rigorous documentation, TDD workflows, and quality gates ensure excellence in output.
The Bigger Picture:
- AI isn’t here to replace developers but to provide advanced tools that drive productivity and innovation.
- This evolving landscape demands a mindset rooted in long-term solutions rather than quick fixes.
Join the Conversation!
Have you experienced a similar shift in your work? Share your thoughts or favorite tools in the comments below!
