Workflow

Jeffrey Emanuel's methodology for coordinating AI agent swarms puts 85% of effort into detailed markdown planning before agents touch code. Work is broken into self-contained "beads" and executed in parallel, with humans overseeing the swarm rather than writing individual lines. The most comprehensive agentic workflow guide published this month.

Cedric Chin offers a ruthlessly practical framework: ignore predictions, focus on detailed field reports of use, then evaluate through four questions about new outcomes, actionable steps, relative value, and causal relationships.

How to navigate ambiguity and maintain thoughtful design in efficiency-obsessed AI workflows. Practical advice for designers and product people on where human judgment still matters most.

Anil Dash pushes back on the simplistic narrative that AI is replacing programmers, exploring what the profession actually looks like when coding becomes one tool among many. Featured in the New York Times Magazine, this is the most nuanced take on developer identity in the AI era we've read this month.

Will Larson argues that as routine cognitive work gets automated, decision-making quality and creative judgment become the only durable competitive advantages for senior leaders.

An interactive tool displaying growth projections, compensation, and AI exposure metrics for hundreds of US occupations. Built by Karpathy, it's the kind of side project that reframes how you think about career risk.

Alberto Romero offers a concrete economic navigation framework for professionals facing AI disruption — not doom, not hype, just practical steps for staying relevant.