Long-time Python, ML, AI and data builders show how they're actually using agents today. Not vibe coding. Not demos. The real workflows: agent skills, harnesses, voice-memo memory, background reviewers, from people whose software you've been using for years.
Skill scepticism, plan review, implementation review, agentic search, and hidden holdout tests.
Research memory, local boxes, debug panes, live notebooks, video generation, and code repair.
Prompt refinement, eval-driven charts, human-in-the-loop EDA, and local-first inference.
RoboRev, agent memory, personal commands, and LLM-as-judge chart checks.
A selection of skills and workflows from the streams, packaged into the companion repo.
Episode announcements, the workflows we cut for time, and what long-time builders are actually doing with agents. Free, no spam.
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