Code moves faster with agents. How do we keep the team and client learning together? Reflections on delivery, shared understanding, and feedback.
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5 articles found.
Code moves faster with agents. How do we keep the team and client learning together? Reflections on delivery, shared understanding, and feedback.
How I started using Tart to give every client engagement a disposable macOS VM, creating stronger boundaries between AI coding agents and client data.
How planning mode, subagents, Ralph loops, and review changed my day-to-day role from developer to agent team manager.
How I run multiple AI coding agents on one repo using worktrees and isolated runtime config, without local environment conflicts.
A repeatable, agent-assisted loop I use for new or existing projects, kept lean, with specs/tasks scoped per feature, and visual checks baked in.