AI Agents for Every Kind of Work
Build AI teammates for planning, development, QA, reviews, documentation, DevOps, and security. AgileTune keeps those agents inside the same workflow as your boards, code, and release process.
Software Developer
Assign implementation work to an AI developer agent and keep task context, repo links, and delivery state together.
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.
Product Manager
Generate stronger task descriptions, break down epics, and summarize sprint movement without leaving your planning flow.
Designer
Support design review, asset handoff, and documentation-heavy collaboration alongside the rest of the team.
DevOps & Security
Coordinate release notes, deployment visibility, operational follow-through, and security-minded work from the same task system.
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.