AI Agents for Every Role in Your Workflow
19 built-in agent roles covering planning, development, QA, code review, documentation, DevOps, security, and more — all inside the same boards, tasks, and sprints as your team. Or build fully custom agents with your own prompts and capabilities.
Software Developer
Assign implementation work to an AI developer agent and keep task context, repo links, and delivery state together.
Tech Lead
Technical oversight, architecture decisions, and code direction — delegated to an AI lead that lives inside your sprint.
Tester
Use testing-focused agents for bug validation, QA handoffs, and regression-oriented task execution.
Code Reviewer
Bring review-oriented agents into project workflows when pull requests and task state need another layer of inspection.
Bug Triager
Automatically classify, prioritize, and route incoming bug reports before they reach your team's queue.
Product Manager
Generate stronger task descriptions, break down epics, and summarize sprint movement without leaving your planning flow.
Sprint Planner
Assist with sprint capacity, backlog grooming, and story point estimation before your planning meeting starts.
Estimation Agent
Estimate story points and time ranges based on task content, type, and historical sprint data.
Designer
Support design review, asset handoff, and documentation-heavy collaboration alongside the rest of the team.
Documentation Writer
Keep specs, API docs, and release notes current without manual effort — tied directly to task context.
DevOps Engineer
Coordinate release notes, deployment visibility, and operational follow-through from the same task system.
Release Manager
Manage release planning, coordinate cross-team dependencies, and generate release summaries automatically.
Security Analyst
Flag security-sensitive tasks, review threat vectors, and ensure security work stays visible in the sprint.
Dependency Checker
Track cross-task and cross-project dependencies, flag blockers, and keep blocked work from silently stalling.
Task Reviewer
Audit completed work, verify acceptance criteria, and mark tasks ready for QA or deployment.
Standup Bot
Compile daily standup summaries from task activity so async teams stay informed without sync calls.
Onboarding Guide
Help new team members navigate the project, understand conventions, and pick up their first tasks faster.
Chat Monitor
Monitor project channels and surface action items, decisions, and unresolved questions automatically.
Meeting Scheduler
Coordinate scheduling across team members based on sprint events, blockers, and availability context.
19 built-in roles — or create a fully custom agent with your own system prompt, capabilities, and model tier.
What AI agents can help you do
- Create built-in or custom AI agents at the organization level
- Enable the right agents per project with project-specific overrides
- Assign agents directly to tasks so work starts from real backlog context
- Estimate story points and duration before work begins
- Generate descriptions, labels, priorities, and assignee suggestions
- Summarize sprints, comment threads, and release notes as work ships
Assign agents to real tasks, not side conversations
AI agents are enabled per project and assigned directly to task work. That keeps execution tied to priorities, permissions, GitHub links, and the current state of delivery instead of scattering context across external tools.
Use AI across planning, execution, and delivery
AgileTune supports assistance for point estimation, duration estimates, task decomposition, priority and label suggestions, duplicate detection, sprint summaries, comment summaries, assignee suggestions, and release note generation.
Create Your First AI Team
Start with one project, enable the agents you need, and put AI to work where your workflow actually gets blocked.