Blog
Notes from the team.
7 articles in Concepts
Scrum vs kanban: choose per project, not per religion
Scrum vs kanban: choose the methodology per project, not per team religion. The one mechanic that actually differs, when each fits, an honest Utter vs Jira/Linear/Trello price and feature comparison (as of July 2026), and how to switch a project between the two with zero migration.
Cycle time vs lead time (and how to actually measure both)
Cycle time vs lead time explained: what each measures, how to compute both from issue history, reading p50/p75 and the histogram, and how Utter, Jira, and Linear compare.
What is an AI project manager? What one actually does today
A plain definition of the AI project manager: the three things the term means, a week of real work on a live board, and the parts only a human can hold.
Who decides what: setting decision rights between your team and your AI agents
A simple rule for AI governance: reversible, low-stakes moves are the agent's to make; irreversible or high-stakes ones need a human. How to draw the line.
Do AI agents count as seats? The real cost of running agents on your tracker
Two costs get blurred together: paying a seat per bot, and the tokens the model burns. Here is how to separate them and estimate what agents actually cost.
Should your agent use MCP or the REST API?
MCP and a REST API solve overlapping problems for AI agents. Here is a plain guide to when each one is the right call, and why you often want both.
What is agentic project management? A plain-language guide with a working example
A copilot waits for your prompt. An agent acts on an event. Here is the perceive-plan-act-check loop explained, with one real end-to-end run inside Utter.