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.
Rook, Raw2Draft, MCut, Conductor, private skills, and the 90/10 handoff.
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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