Atono

Developer Tools

Neotask keeps your Atono product delivery engine running automatically - managing stories, bugs, timeboxes, and team context so engineers stay in flow.

• Product backlogs stay groomed without manual effort - your agent creates stories, updates acceptance criteria, and moves work through workflow steps based on your team's progress
• Bug resolution moves faster - your agent documents fixes, updates assignees, and tracks step progress across the entire bug lifecycle without interrupting developers
• AI context stays current - your agent updates the workspace context so every team member's AI tools work with accurate, up-to-date project knowledge

What You Can Do

The Atono integration gives Neotask 19 product management actions spanning workspace setup, stories, bugs, timeboxes, and AI context resources.

Area	Actions	What They Do
Setup & Context	atono_configuration, atono_list_users, atono_list_teams, atono_get_team_workflow	Configure workspace, browse team members, understand workflow structure
Stories	atono_get_story, atono_list_story_personas, atono_create_story, atono_update_story_step, atono_update_story_assignee, atono_update_story_content, atono_update_story_ac	Full story lifecycle from creation through acceptance criteria updates
Bugs	atono_get_bug, atono_update_bug_step, atono_update_bug_assignee, atono_document_bug_fix	Bug tracking with step progression, ownership, and fix documentation
Timeboxes	atono_list_timeboxes, atono_list_timebox_items	Sprint and iteration management
AI Context	atono_get_ai_context, atono_update_ai_context	Keep the team's shared AI context accurate and current

Every action runs autonomously or requires your approval - you decide.

Try Asking

• "Create a story for the new user authentication flow and assign it to the backend team"
• "Update the acceptance criteria on story ATN-145 to include the edge case we discussed"
• "Show me all bugs currently assigned to the infrastructure team and their workflow steps"
• "Document the fix for bug ATN-201 and mark it as resolved"
• "What stories are in the current timebox? Show me their statuses"
• "Update the team AI context to reflect our new microservices architecture decision"
• "List all story personas for the mobile product line"

Pro Tips

• Schedule a daily standup briefing: your agent pulls open stories and bugs per team member, summarizes blockers, and posts the report before your morning call
• Use atono_update_ai_context regularly - keeping context fresh means every AI interaction your team has will be grounded in current project reality
• Pair Atono with your code review integration so merges automatically trigger story step updates
• Multi-agent teams work well here: one agent handles story grooming, another tracks bug resolution, a third maintains AI context freshness

Plans

Works Well With

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