Plan sprints, ship releases, and coordinate engineering work with AI-powered project management built for software teams. Connect every stakeholder, from product to QA, on one platform.
Trusted by over 60% of the Fortune 500


monday.com's AI analyzes your backlog and team capacity to propose sprint scope, flag blockers early, and keep every release on track.
Connect engineering boards to product roadmaps and stakeholder dashboards so everyone always sees current status without chasing updates.
Set up Scrum or Kanban boards in minutes, automate sprint ceremonies, and bring your entire development organization into one shared workspace.
Ship more with every sprint. Before your next planning meeting, monday agents analyze past velocity and current team capacity to propose sprint scope. Once the sprint is running, burndown charts and sprint boards update in real time, and monday agents surface blockers and flag at-risk items before they delay the release. At sprint close, the AI sprint summary compiles what shipped, what rolled over, and what to adjust next.
Connect engineering boards to product roadmaps and stakeholder dashboards so everyone always sees current status without chasing updates.
Know exactly where every release stands and forecast future dates with confidence. monday connects the roadmap to actual delivery data, so engineering, product, and business stakeholders always share the same live picture of what's being built and when it ships. Teams set milestones, map feature dependencies, and track release readiness in one place. When priorities shift, roadmap updates flow automatically to connected sprint items so engineers always work from a current plan.
monday.com connects your AI workflow automation software to the tools every team runs on. With 850+ integrations — including Slack, Jira, Microsoft Teams, Google Calendar, GitHub, and Salesforce — and MCP support for Claude, ChatGPT, and Copilot, your portfolio data stays connected wherever your teams work.





Start each sprint by letting monday.com's AI analyze your backlog priority, team capacity, and past velocity to suggest a sprint scope. Review the AI-proposed plan on monday.com's sprint board, adjust assignments, confirm commitments, and set the sprint in motion — all inside a single planning session that replaces hours of manual coordination.
As the sprint runs, engineers update item status directly and log bugs linked to the sprint items they originated from. monday agents monitor burndown progress, surface blockers as they appear, and alert the right team members before minor issues delay the release. Stakeholders see live progress on shared dashboards without attending standups.
At sprint close, the AI sprint summary on monday.com compiles what was completed, what rolled over, and what the velocity trend suggests for future capacity. Product roadmaps update automatically based on what shipped, giving every stakeholder a current view. Each sprint cycle makes the next one more accurate — the platform compounds improvement over time.
At the end of every sprint, monday.com automatically compiles what was completed, what rolled over, and where velocity fell short - surfacing patterns your team can act on before the next cycle begins. Retrospective summaries are generated without a dedicated meeting, so improvement compounds sprint over sprint.
Organize and prioritize your full product backlog on monday.com with custom fields for story points, acceptance criteria, and release tags. Drag items into sprints during planning sessions, and let monday.com's AI surface the highest-value items based on customer feedback and business impact.
Log, triage, and resolve bugs on a dedicated tracking board that links every defect to the sprint item and code commit that introduced it. Severity labels, assignee fields, and automated SLA alerts keep high-priority issues visible and moving through resolution without manual follow-up.
Build a live product roadmap that connects engineering sprint items to strategic milestones. Stakeholders across product, marketing, and leadership see the same delivery plan, and when priorities shift, roadmap changes propagate automatically to connected sprint boards.
Connect monday.com to GitHub to bring code activity directly into your sprint boards. Pull requests, commits, and deployment statuses sync automatically so product managers and engineering leads get real-time delivery visibility without leaving monday.com.
Run Scrum sprints or Kanban continuous-flow workflows from the same platform without switching products. Teams choose the view that matches their methodology, and managers can see progress across both models on unified portfolio dashboards.
Track sprint performance through built-in velocity charts and burndown graphs that show delivery pace versus commitment in real time. Engineering leads use these insights to forecast capacity for upcoming sprints and identify process improvements before problems compound across releases.
monday agents analyze your backlog, team capacity, and historical velocity to surface sprint planning recommendations automatically. Flag dependency risks, estimate realistic sprint scope, and enter each sprint with a plan grounded in data — not intuition alone.
AI agents plan sprints, triage bugs, monitor delivery risk, and report progress across your engineering organization.
Automate sprint ceremonies, bug escalation paths, and release approval flows so engineering processes run end to end without manual handoffs.
Your context-aware AI assistant writes acceptance criteria, summarizes sprint outcomes, and answers questions about any board on monday.com.
Build custom engineering dashboards, release trackers, and internal tools in minutes — without writing a line of code.
See how engineering managers can grow technical leadership skills and support high performing teams. Start developing your leadership today!
Plan timelines and dependencies for 2026 delivery. Learn how to build a roadmap that guides coordinated work. Learn more today.
Unlock the 30 engineering KPIs every team needs in 2026. Boost velocity, align with business goals, and turn data into impact. Start today.
Learn how modern project management keeps software teams aligned, adaptive, and fast. Master the essential strategies shaping 2026 today.
AI engineering project management software gives engineering teams a platform to plan, track, and deliver technical projects — with AI capabilities that automate routine coordination, surface risks, and keep stakeholders aligned without manual effort. It connects sprint planning, backlog management, bug tracking, and release coordination in a single workspace so engineering leads have full visibility at every stage.
AI reduces the overhead that pulls engineers away from development work. On monday.com, monday agents analyze sprint velocity and team capacity to propose sprint scope, flag at-risk items before they delay a release, and generate end-of-sprint summaries automatically. Teams spend less time in status meetings and more time shipping.
Engineering project management software is built around the workflows developers and engineering managers actually use — sprint planning, backlog grooming, bug tracking, and code-level integrations with tools like GitHub and GitLab. General project management platforms handle task coordination across any function, but lack the methodology support and developer integrations that engineering teams need.
Teams set up sprint boards, Kanban or Scrum views, and backlog queues directly on monday.com, then connect them to GitHub or GitLab so code commits and pull requests appear alongside project items. monday sidekick generates an initial project plan from a brief description, and monday agents monitor progress, flag blockers, and send automated status updates to stakeholders throughout the sprint.
monday.com supports both Scrum and Kanban methodologies without forcing a fixed process. Teams configure sprint cadences, set capacity limits, track burndown in real time, and move backlog items through custom stages. AI-powered sprint planning surfaces scope recommendations based on past velocity, and retrospective summaries are generated automatically at the end of each cycle.
monday.com combines engineering-specific workflows — sprint planning, bug tracking, roadmap management — with AI capabilities that operate across the entire project, not just individual tasks. Unlike single-purpose dev tools, monday.com connects engineering work to the broader organization, so product, PMO, and leadership see the same live data without requiring manual reporting from the engineering team.
Pricing varies across the market depending on team size, feature depth, and integration requirements. monday.com offers a free plan for small teams and paid tiers that scale with organizational needs — including advanced automation, AI capabilities, and enterprise security features. Specific pricing is available at monday.com/pricing.
Yes, the monday.com app is available for download on the iOS and Android app stores.