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Kanban for Software Development: Best Practices

Updated on November 11, 2026 https://doitify.com/planning/kanban-software-development/
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Summary

Kanban for software: backlog → dev → review → deploy with WIP limits and pull signals — flow metrics (cycle time, throughput) instead of velocity, deployments

Quick answer

Kanban for software: backlog → dev → review → deploy with WIP limits and pull signals — flow metrics (cycle time, throughput) instead of velocity, deployments on demand not on sprint ends.

The board

Backlog → Ready → Dev → Code review → Testing → Deploy — the real pipeline as columns.

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Pull signals

Empty slots signal ‘bring more’ — upstream pull, not push; WIP limits enforce it.

Metrics

Cycle time per class, throughput, WIP age — flow metrics that find bottlenecks.

Deploy cadence

Independent of planning — ship when ready, release ≠ sprint boundary.

Bottom line

Kanban for software: backlog → dev → review → deploy with WIP limits and pull signals — flow metrics (cycle time, throughput) instead of velocity, deployments on demand not on sprint ends.

FAQ

Interruptible/ops-heavy work → Kanban; batch deliverable work → Scrum — many mature teams end on Kanban.

Sizing small enough to pull — cycle time data replaces points for forecasting.

If this post was helpful, you might also enjoy Resource Scheduling: Complete Guide and Project Management Software for Research Teams: 2026 Guide.

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Move projects forward without the chaos: all your tasks, progress, and team reports in one unified workspace. Built for companies, startups, and remote teams — with a quick setup and a free trial.

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