Atono helps you plan with timelines and execute with Scrum or Kanban. This release brings them together, showing you whether you'll actually deliver what you planned, not just what you hoped to ship.

Atono now uses historical delivery data to project capacity, flag risks early, and explain what's driving them—including capacity shortfalls, unassigned work, scheduling gaps, or coordination problems.

Teams can build plans faster, see risks earlier, and adjust while there's still time to act, without adding heavier process or new workflows.

In this release

  • Build plans faster and see risks earlier with capacity projections that show if you’re overloaded, release scope visible where you work, and timeline warnings that flag cross-team coordination issues before deadlines slip.
  • Navigate sprints more efficiently by collapsing and expanding sprints to focus on what matters, browsing past sprints to see what shipped, and tracking how items moved through sprints over time.
  • Coordinate with teammates through contextual notifications by mentioning users in comments to pull them into conversations, with intelligent batching that reduces email noise.
  • Let AI coding assistants store context directly on backlog items with MCP resources that capture investigation notes and change summaries, making handoffs between sessions seamless.
  • Polish daily workflows with clearer icons, saved graph preferences, streamlined story splitting, and the ability to paste images directly from your clipboard.

Those are just the highlights. Read on for the full details, or jump ahead to the sections you're most interested in.

On this page


Planning intelligence and adaptive execution

These features use historical delivery data to help you build plans quickly and adjust as you execute—projecting capacity, flagging cross-team risks, and showing you mid-sprint whether you're on track, while there's still time to make tradeoffs.

Project future sprint capacity

Build an initial plan quickly without lengthy planning sessions. See if your timeline is realistic using projected capacity instead of detailed upfront planning.

Atono uses your team's historical velocity to project capacity for future sprints automatically. On the Sprint calendar, future sprints display projected capacity based on your team's average velocity. If a sprint is over capacity, you'll see a visual indicator showing where the sprint would actually end based on your historical delivery rate.

The same projections appear on your backlog view and sprint detail pages, updating in real time as you add, remove, or resize stories.

Instead of manually calculating how much work fits in each sprint, you can see at a glance whether your planned sprints are under capacity, properly loaded, or overcrowded. You discover problems with the plan while you're still building it, not after the sprint has started.

Track sprint progress

Have tradeoff discussions early when you're falling behind, while there's still time to adjust.

For teams executing work in active sprints, burndown charts now show whether you're trending ahead or behind and what to do about it.

Once your sprint is at least halfway complete, the burndown chart projects whether you'll finish all the work by the sprint end date. If you're tracking behind, the chart shows which stories are at risk of not being completed based on your current pace. If you're tracking ahead, it suggests stories from your next sprint or backlog that could be pulled in to fill the remaining capacity.

These aren't just projections. They're conversation starters. Should we extend the sprint? Reduce scope? Pull in help from another team? The chart gives you the data to make those calls while there's still time.

Flag cross-team delivery risks

See coordination problems early and know which conversation to have about each one.

Planning across multiple teams with different workflows, all working toward a shared release is where coordination gets complex. The timeline view now flags timeboxes that have potential delivery issues before deadlines arrive. When you view a timeline, timeboxes ending within the next three months show a warning indicator if there are problems with the plan.

Click into the timebox to see exactly what's wrong: unassigned items, Kanban teams whose projected completion falls outside the timebox, items on Scrum teams that aren’t in a sprint yet, or sprints ending after the timebox ends.

This helps you distinguish between different kinds of risk. An unassigned item is a planning gap. A Kanban team's projected completion date falling outside the timebox might be a prioritization issue or a capacity problem. A sprint ending after the timebox closes means the work might not get done in time. Each requires a different conversation.

Visualize release scope

Whether you're running Scrum or Kanban, see what's actually going into each release and whether your plan is realistic. Team backlogs can now display release markers, with different visualizations depending on how your team works.

Scrum

For Scrum teams, release markers appear as horizontal lines on the backlog between sprints. A release appears immediately after the sprint that ends on or before the release date, giving you a visual sense of what ships when. This makes it easier to have conversations about whether you're planning the right amount of work for each release.

Kanban

For Kanban teams, you can select a release from a dropdown, and Atono highlights which items would make it into that release based on their projected completion dates. As you drag items up and down to reprioritize, the highlighting updates in real time, showing you how reordering affects your release scope. You can see immediately whether moving one story up bumps another story out of the release.


Managing sprints

For teams running Scrum, we’re delivering modern sprint management capabilities that make it easier to navigate sprint context, track changes over time, and control who can modify plans.

Navigate and organize sprints

A collection of improvements that help you focus on current work, understand what happened in past sprints, and keep sprint assignments organized.

Collapse and expand sprints

Scrum backlogs now let you collapse and expand sprints individually, or collapse and expand all sprints at once. This helps you focus on planning the next sprint, reviewing the current one, or checking what shipped last month without scrolling through everything.

When you drag an item onto a collapsed sprint, it automatically expands so you can see where you're dropping it. You can also jump directly to unscheduled items to quickly get to work that hasn't been assigned to a sprint yet.

Browse past sprints

You can browse completed sprints directly from the backlog view to understand what shipped and when. Historical sprints are visually distinct from active and future sprints, and they display workflow step icons so you can see how work was distributed when the sprint closed.

Create sprints faster

Sketching out a plan gets faster: double-click on a Sprint calendar where you want a new sprint to start, and it's created instantly. The sprint defaults to two weeks, or adjusts automatically if the next sprint is closer.

Bonus: This also works on timelines to quickly create two-week timeboxes.

Manage sprint assignments

Managing sprint assignments is simpler. On a backlog item's detail page, you can view and change which sprint it's in, search for sprints by name, see start and end dates, and create new sprints without leaving the page.

Track sprint changes

When you need to understand how an item moved through sprints over time, the Activities section now tracks sprint changes. You can see when items were added to, moved between, or removed from sprints and who made each change. A new "Sprint" filter lets you view just sprint-related activity, making it easier to spot items that keep getting postponed or understand why scope changed.

Protect sprint data from accidental changes

To keep your velocity projections and burndown charts accurate, Atono warns you before you make changes with unintended side effects—like removing completed work from historical sprints, which would skew future capacity projections.

You'll see warnings before actions that affect burndown accuracy or historical data. Each warning explains what will happen so you can make an informed decision.

These warnings help prevent accidental data loss and make the consequences of workflow changes visible before you commit to them.

Control who can modify sprint plans

For teams with managed backlogs, those permissions now extend to sprints. Backlog owners can create, modify, or delete sprints, or change which items are in them.

This applies everywhere sprints appear: the Sprint calendar, Backlog, In-progress, sprint detail pages, and story detail pages. If you're not a backlog owner, you can still move items through workflow steps and reorder them, but you can't change sprint scope or structure.


Collaboration

We’re introducing email notifications and collaboration features that keep communication tied directly to backlog items instead of creating another Inbox to manage.

Mention teammates in comments

You can now @mention users in comments to pull them into conversations. When you mention someone, they receive an email notification with a link directly to the backlog item.

Mentions are batched intelligently to reduce email noise. If multiple people mention you within a short window, you'll receive a single email with all the comments and a link to the conversation.

Get notified when assigned work

Stay on top of new work without constantly checking your backlog. Enable email notifications in your user profile to get notified when someone assigns work to you. You're only notified when someone else assigns work, not when you assign it to yourself, keeping notifications relevant and reducing noise.

Link directly to comments

Copy a direct link to any comment from its menu. When someone follows the link, the backlog item opens with the comment highlighted. Links remain valid even if you split the story and the comment moves to a different item, so conversations stay connected to the relevant context no matter how work evolves.

View user information on hover

Throughout Atono, hovering over a user shows an infocard with their full name, email, workspace roles, and team memberships. This makes it easy to verify you've got the right person or check someone's role.


AI-assisted development

We’re introducing MCP resources—a way for AI coding assistants to store investigation notes and implementation changes directly on backlog items. The next person or AI session can pick up where the last one left off, because the important context lives on the item itself.

Store AI context on backlog items

When you use the Atono MCP server with your AI coding assistant and ask it to add context to a story or bug, a new MCP resources section appears on the backlog item.

MCP resources have two sections: Investigation captures what AI agents learned before making changes—findings, constraints, relevant files, and recommended next steps. Change summary tracks what was actually implemented—files modified, tests updated, and current status.

Both sections are versioned, so you can see how understanding evolved across multiple attempts. You can edit them manually in Atono, or let your AI coding assistant update them automatically through the Atono MCP server.

This is useful when work spans multiple sessions, tools, or people. Instead of relying on chat history that fragments or disappears, the context persists on the backlog item.

MCP resources are in beta. We'd love to hear what you think as you try it out. Learn more about MCP resources.


Usability improvements

We've made a handful of small improvements that smooth out daily workflows.

Clearer workflow icons

Know at a glance whether work is ready or still being refined. Story refinement and Bug triage now have distinct icons: a lightbulb for refinement, a bug for triage. This makes it clearer when an item is still being refined versus when it's in the regular workflow, helping you focus on work that's actually ready to be picked up.

Remember engagement preferences

Stop reconfiguring the same settings every time you look at engagement data. Engagement graphs throughout Atono now remember your display settings—view type, graph type, timeframe, and filters. Whether you're viewing feature engagement on a story or the top features graph across your workspace, your preferences stay consistent.

Streamlined story splitting

When you split a story, you can edit the user story statement directly in the split workflow. Define what each new story is for while you're actively thinking through the split.

Paste images directly

Share visual information faster. Paste images directly from your clipboard into a story or bug's additional notes or acceptance criteria. Atono automatically creates an attachment with a generated name, creates a thumbnail if appropriate, and adds an activity entry. No more saving screenshots to files, finding them in your downloads folder, and uploading them one by one.


What's next

We're working on new capabilities that aren't quite ready for general availability but show where Atono is headed. Here's what's in development:

Product knowledge

We're experimenting with a product knowledge feature that analyzes your help documentation and builds a shared vocabulary of key product concepts you can export and use as context for AI tools. Instead of guessing, AI tools can understand your product's language and how the pieces fit together.

Early testers are exporting glossaries to use as context for AI coding assistants—helping with story refinement, documentation drafting, test scenario generation, and catching terminology inconsistencies. If you'd like early access to see how it can help your workflow, let us know.

Sprint planning and tracking are more powerful this release, with dedicated calendars, burndown charts, and sprint-optimized views. When creating a team, you now choose between Scrum and Kanban workflows—so your tooling matches how your team works.


Plan and manage sprints from your backlog

For Scrum teams, the Backlog view now organizes work by sprint, letting you plan sprints, manage scope, and view capacity at a glance. Current and upcoming sprints appear in order, with names, dates, item count, and total story points visible—so commitments are clear without switching views. Items not assigned to a sprint appear in an Unscheduled section below planned work.

Drag items into sprints, move work between sprints as priorities change, and create new sprints as needed. Atono prevents overlapping sprints and warns when scope or duration changes mid-sprint, helping protect burndown accuracy.


Focus on current work

The In progress view shows only your current sprint, creating a focused workspace for daily execution. Track what’s committed, monitor progress, and adjust work as needed to achieve your sprint goal. From the same view, you can edit sprint details and check the burndown chart—keeping everything you need for the current sprint in one place.


See progress with burndown charts

Burndown charts show whether your sprint is on track. They plot daily progress against a guideline and project your finish date based on actual velocity—helping teams spot early signs of underestimation, discovery, capacity changes, or shifting priorities while there’s still time to respond.

Hover over any day to see points completed, remaining work, and how far ahead of or behind schedule you are. Historical burndown charts support retrospectives and velocity planning for future sprints.


Sprint calendar for timeline planning

Scrum teams also get a dedicated Sprint calendar to visualize all sprints on a timeline, plan releases, spot capacity constraints, and communicate projected delivery dates to stakeholders.

The calendar prevents overlapping sprints as you adjust dates, shows weekday counts while dragging sprint edges, and lets you rename sprints inline.


Switch workflows as your needs change

You can switch teams between Scrum and Kanban workflows after creation, so your tooling adapts as your process changes. You’re not locked into a choice—when your teams’ needs change, Atono adapts with you.

Teams can now sign in using their company’s identity provider instead of email login links. SAML-based SSO centralizes access management, strengthens security, and supports enterprise compliance.

Workspace administrators can validate the SSO setup in a testing mode before enabling it for the full team. Setup instructions are provided for Okta, with support for other SAML-compatible identity providers.

Single sign-on is available for paid workspaces. Contact your workspace administrator to enable it.

Stay updated on specific stories and bugs without constantly searching or trying to remember where you last saw them.

Stay on top of what matters

Click the Follow icon on any backlog item to start tracking it.

Followed items appear in a dedicated widget on your homepage, sorted by recent activity, so updated work rises to the top automatically.Use it to keep track of work owned by other teams, requested features, or bugs affecting your customers—all from your dashboard.


Find and manage followed items

Filter the Everything page to see only items you're following, or add the Following column to spot tracked work across your entire backlog. Your view preferences stay with you across sessions, so your workflow stays consistent.


See exactly where each activity came from—whether it was performed in the Atono interface, triggered by an integration, sent through the API, or completed by the MCP server. You can filter the Activities list by source to focus on specific origins.

Source filtering helps when reviewing imports, debugging automation, or understanding how different tools and AI-driven actions are affecting your backlog.


Common planning tasks get faster with tools that help you break down work, organize around themes, and understand bug priority at a glance.

Split stories faster

Break large stories into smaller ones without losing context. The new Split story feature lets you move selected acceptance criteria into a new story, with key details—like team, product theme, and timebox—carried over automatically.

When you split a story, Atono links the original and new story for traceability, and records the split in the Activities list. New stories appear at the top of your backlog (or in the same sprint for Scrum teams), keeping backlog refinement fast, work connected, and stories small and focused.


Bulk organize by product theme

Select multiple stories and assign them to a product theme in one action. This lets you group related work around strategic initiatives without editing items one at a time.


See bug status during triage

Bugs that aren’t yet assigned to a team backlog now show their triage state (Reported, More info required, Won't do) throughout Atono, giving teams clear context when reviewing new reports and deciding what to assign.


This release includes several updates to Feature engagement that give teams more control over how usage data is tracked and displayed.

Control feature engagement visibility

Show or hide the Feature engagement section on individual stories depending on what you need to see. When engagement data is relevant, use the graph icon to jump directly to it. When it’s not, hide the section to keep the story focused on work details.

Your visibility preferences are saved per story and persist across sessions, so stories stay configured the way you left them.


Remove mapped actions from stories

Actions mapped using the Atono Chrome extension can now be removed from a story’s Feature engagement settings, making it possible to correct mistakes or stop collecting data for actions that are no longer relevant.

When an action is removed, Atono stops collecting new engagement data for that action. Any historical usage remains available in charts and reports unless it’s cleared.


A set of focused improvements across Atono that make navigation, visibility, and everyday actions clearer and faster.

Jump to search instantly

Press Cmd-K (Mac) or Ctrl-K (Windows/Linux) from anywhere to open search, without breaking your flow.


Filter with fewer clicks

Filters now open with all options visible, so you can narrow results immediately instead of drilling into search fields first. Multi-select checkboxes and an optional search make it faster to refine results as you work.


Discover attachments more easily

New visual cues clarify where attachments can be added—whether you’re creating a draft, updating an existing item, or attaching files to specific acceptance criteria.

A paperclip icon in the header and inline prompts in drafts indicate the appropriate place to add attachments, helping ensure files are associated with the right part of a story.

Atono now connects more directly to your development workflows with the launch of our Model Context Protocol (MCP) server, expanded REST API capabilities, and new GitHub commit linking. Together, these updates strengthen automation and transparency across AI-assisted work, integrations, and code activity.

Introducing the Atono MCP server

Your AI coding assistant can now talk directly to Atono.

The Atono MCP server connects tools like Claude, Windsurf, Cursor, and VS Code with GitHub Copilot straight to your backlog. Your AI assistant can read stories and bugs, update workflow steps, manage assignments, and document fixes without leaving your editor.

How teams use it:

  • Developers pull acceptance criteria while coding, update story status after pushing changes, or document bug fixes automatically.
  • QA engineers access bug reproduction steps and acceptance criteria, then update status as they verify fixes.
  • Product managers summarize completed work or check status across teams without leaving their AI workspace.
  • Documentation and marketing teams generate changelogs and feature content based on what actually shipped.

See when MCP works on your behalf

Actions performed through the MCP server now appear in Activities with a unique icon and tooltip labeled “Performed by MCP server.” This lets teams trace which changes came from their AI assistant, keeping automation visible and accountable.

For configuration details across different AI coding tools—and a full list of the Atono tools available through the MCP server—see the help documentation.


GitHub commit linking

Atono now links pull requests to stories and bugs when backlog item IDs appear in commit messages, extending the existing GitHub integration. Previously, PRs were detected only when an item ID (like STORY-123 or BUG-456 appeared in a pull request’s title, description, branch name, or comments.

With this update, commit messages are included too—so links appear as soon as code is committed, even before a PR is opened. That means teams can see development activity sooner and stay aligned from commit to release.


Expanded REST API endpoints

Story and bug endpoints in the Atono API now include workflow step information, giving integrators the context they need to build smarter automations. The GET stories endpoint also returns an HTML version of each story, supporting richer integrations with tools that use formatted content.

Two new endpoints—GET workflow step and GET workflow steps—let integrations understand team workflows directly, so automation stays aligned with how each team actually works.

Understanding who’s using your features and how that changes over time helps your team learn from real behavior. This release adds a Top customers view to a story’s feature engagement, showing usage by customer alongside the existing environment view.

Top customers

Feature engagement now defaults to showing usage by customer, helping you identify your most engaged users and understand adoption patterns across your customer base. It highlights the top 10 customers for each feature, showing who’s interacting most and who’s best positioned to provide meaningful feedback.

You can select a graph type to visualize your data:

  • Bar chart: shows total usage counts for the selected period. It’s a quick way to see which customers use a feature most.
  • Line graph: tracks engagement trends over time for each customer. Toggle individual customer lines on or off to focus on specific segments, and filter by location or environment to see how adoption varies across different contexts.

These views work together to reveal both overall usage and engagement trends, helping product and customer teams connect real adoption with customer insight.