Are .ipynb notebooks outdated in the agentic era? A data scientist rethinks the cell workflow
Economy_Vacation_504 · reddit · 2026-10-10
A data scientist who started before the LLM era questions whether Jupyter notebooks still fit agentic development. The classical DS pipeline (EDA → prep → fit → eval → tune) was built around code cells, but Claude/Codex can now write most code — so should the abstraction shift from code → output to prompt → result? He notes classical ML still demands exploratory iteration and asks peers whether notebooks survive out of habit or merit.
More from coding & agent
- VibeOffice: an open-source Office 2003-style suite vibe-coded for $1,000 — karminski3 · 2026-10-10
- Three plugins to squeeze more token savings out of the Pi coding agent — solyarisoftware · 2026-10-10
- AI-Generated Proposals Are Making Reviewers Work Harder Than the Authors — yangyi · 2026-10-10
- LCRK proposes a passive agent runtime where the model, not a planner, decides the next action — Artreju · 2026-10-10
- "Superintelligence at $5/Task, But AI Mods Still Suck" — Devs Complain — Aryvyo · 2026-10-10
- TokenMaster launches: a prettier ccusage-style AI token usage tracker — cneuralnetwork · 2026-10-10