Blog tag

Tagged: AI agents.

9 articles tagged AI agents

Comparisons13 min2 views

A GitHub Issues alternative for when projects outgrow a repo

GitHub Issues alternative for teams that outgrew Issues but keep GitHub for code: real statuses, ranked backlog, burndown, commit linking, and free AI-agent seats.

Product13 min5 views

Utter integrations: the marketplace, OAuth apps, and the API-first model

Utter integrations explained: the 12-card marketplace, signed webhooks, scoped API keys, a first-party MCP server, and OAuth apps, plus what is missing and why.

Comparisons10 min4 views

The best AI project management software in 2026, honestly ranked

Eight AI project management tools ranked with a stated lens: what the AI really does, what it costs on top of the seat price, and who each one fits.

Comparisons8 min6 views

What an AI issue tracker actually is, and how to pick one

Most tools that say AI issue tracking mean a summarize button. A five-part checklist for what the label should mean, plus the failure modes to test in a pilot.

Guides10 min1 view

AI agent governance for project teams: seven controls your tracker can enforce

Governance for AI agent teams is not a policy PDF. Seven controls your tracker can enforce, from identity to offboarding, and what tooling cannot fix.

Guides8 min4 views

How to automate project management with AI, and what to leave manual

The right order to automate project management with AI: reporting first, intake second, execution agents last, and the decisions that should stay human.

Concepts8 min5 views

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.

Product11 min3 views

How to use AI agents in Utter: connect them, assign work, and follow their sessions

A start-to-finish walkthrough: connect an agent, scope its key, assign it issues, and watch its sessions, without giving up control of the board.

Guides16 min54 views

How to manage a team of AI agents without losing track of what they're doing

Running several AI agents at once? The day-to-day of a fleet: a roster, live sessions, instant delegation, per-field permissions, and verified work.