How about teams just pick what works?

Here's the problem engineering managers quietly live with.

One team runs Scrum because they ship customer features on fixed deadlines. Another runs Kanban because they handle support, incidents, and tech debt. A third is somewhere in between.

All three teams are effective. All three approaches make sense.

And then the CEO asks: "When will the Q2 release be ready?"

Now you're doing mental gymnastics. Different velocity models. Different planning horizons. Different definitions of "done." You can force everyone into the same methodology (and make at least one team worse), or stitch together spreadsheets and status meetings whose only job is translating between tools.

We just shipped a third option.

Atono now supports Scrum and Kanban as first-class, per-team choices — with release planning that rolls up automatically across all of them.

One release view. No spreadsheets. No reconciliation meetings. When leadership asks for a date, you have an answer that isn't a guess stitched together from three different sources.

When a team creates a workspace in Atono, they choose how they work. That choice shapes their experience — views, metrics, and planning cadence — without breaking cross-team visibility.

Scrum teams get:

• Sprint planning directly in the backlog
• Story points and sprint capacity at a glance
• Burndown and velocity that surface problems early

Kanban teams get:

• Flow-based boards with WIP limits
• Cycle time tracking
• Estimated completion dates based on real throughput

Scrumban teams get structure without ceremony — sprints for planning, flow for execution.

The important part isn't that we support multiple methodologies. Plenty of tools claim that.

The important part is the rollup.

All of these approaches feed the same underlying model. You can plan a release across two Scrum teams and a Kanban platform team and see one coherent timeline — without translating anything by hand. A Scrum team's sprint commitments and a Kanban team's flow forecasts both contribute to the same release date — without you doing math in a meeting.

And when a team's work changes, their methodology can change too. No migrations. No lost history. No re-planning from scratch.

AI has dramatically accelerated individual developers. Features that took a week now take days.

Prototypes appear overnight. But team throughput often stays flat — or gets worse.

We call this the AI productivity paradox: individuals move faster while coordination breaks down.

Someone finishes early and waits on another team. Dependencies surface too late. Planning assumptions collapse. Some teams respond by tightening sprint discipline. Others abandon timeboxes entirely in favor of flow and WIP limits.

Both approaches can work.  What doesn't work is letting your tool dictate the answer.

Some tools do exactly that. Linear, for example, has been explicit: flexible workflows create chaos at scale. They're not wrong — Jira graveyards are real.

But they overcorrect. Linear decided continuous flow is the right way to build software, even calling user stories a "cargo cult ritual."

That's a bold stance when most teams still use Scrum in some form — not out of nostalgia, but because they operate under fixed deadlines, regulatory constraints, or cross-functional release cycles. At the same time, ops and platform teams genuinely thrive with continuous flow.

When a tool tells you how software should be built, it's making assumptions about your constraints. Those assumptions might fit — or they might be disastrously wrong.

We'd rather ask a simpler question: How does your team actually work?

And then support that — without breaking everything else.

We're not building another infinitely configurable system. That's the Jira trap.

Atono is opinionated where it helps:

• Bug triage has a default workflow
• Stories connect to customer outcomes
• Feature flags live with planning, not in a separate tool

What we're not opinionated about is how your teams coordinate their work. Scrum or Kanban is your call. We support both fully because that choice belongs to the people doing the work.

There's a difference between saying "here's a better way to triage bugs" and saying "the way you plan is wrong." We aim for the former.

• One release view across mixed methodologies
• No manual translation between velocity and flow
• Team autonomy without sacrificing predictability
• Methodology changes without migrations or rework

In short: less coordination tax, more signal.

If you're managing teams that work differently — and tired of being the human integration layer between teams, tools, and methodologies that refuse to line up — we built this for you.

Teams of 25 or fewer can start free at atono.io.

Methodology debates are easy. Coordinating across reality is hard. We chose to solve the hard thing.