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AI Software Engineering

Manage engineering projects with AI

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.

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ai software development software

Trusted by over 60% of the Fortune 500

Ship faster with AI sprint planning

monday.com's AI analyzes your backlog and team capacity to propose sprint scope, flag blockers early, and keep every release on track.

Full visibility across every release

Connect engineering boards to product roadmaps and stakeholder dashboards so everyone always sees current status without chasing updates.

Adopt agile without the overhead

Set up Scrum or Kanban boards in minutes, automate sprint ceremonies, and bring your entire development organization into one shared workspace.

Plan and execute sprints with AI

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.

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AI sprint planning board on monday.com
bug tracking board for software development teams on monday.com

Track bugs and issues before they reach production

Connect engineering boards to product roadmaps and stakeholder dashboards so everyone always sees current status without chasing updates.

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Build and align product roadmaps across the organization

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.

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product roadmap view for engineering teams on monday.com

Works with the tools your dev team already uses

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.

Gmail
Slack
Claude
Drive
Salesforce
Hubspot
Jira
Calendar
Zoom
GitHub
Teams
ChatGPT
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850+

more via API, MCP & native connectors

Solutions for every team, powered by AI

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Product & Eng

Prioritize the right features with real data

The Feedback Synthesizer agent ingests signals from every channel, ranks them by impact, and surfaces the highest-priority items for your next sprint so product teams build what matters most.

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PMO & Ops

Track every workstream without manual reporting

The Portfolio Reporting agent generates automated status updates and executive summaries across every active engineering program, so PMO leads always have current delivery data without compiling it manually.

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HR

Hire engineering talent without the coordination overhead

From sourcing to scheduling, monday agents screen candidates against defined criteria, surface the strongest applicants, and handle interview coordination so recruiting teams focus on decisions, not logistics.

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Legal

Handle vendor and software contracts at speed

The Contract Drafter agent surfaces precedents, applies your templates, and produces review-ready drafts so legal teams process software vendor agreements in minutes rather than days.

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How to manage software development projects with AI

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Step 1 - Plan your sprint with AI-informed scope

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.

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Step 2 - Track bugs and progress in real time

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.

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Step 3 - Report outcomes and improve continuously

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.

Features

AI sprint retrospective

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.

Backlog management

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.

Bug tracking board

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.

Product roadmap view

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.

GitHub integration

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.

Scrum and Kanban agile boards

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.

Sprint velocity and burndown insights

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.

AI-powered sprint planning

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.

The AI Work Platform for software engineering teams

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monday agents

AI agents plan sprints, triage bugs, monitor delivery risk, and report progress across your engineering organization.

monday workflows

Automate sprint ceremonies, bug escalation paths, and release approval flows so engineering processes run end to end without manual handoffs.

monday sidekick

Your context-aware AI assistant writes acceptance criteria, summarizes sprint outcomes, and answers questions about any board on monday.com.

monday vibe

Build custom engineering dashboards, release trackers, and internal tools in minutes — without writing a line of code.

Real customers. Unreal outcomes.

Frequently
Asked Questions

What is AI engineering project management software?

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.

How does AI improve engineering project management?

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.

What is the difference between engineering project management software and general project management software?

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.

How do you manage engineering projects on monday.com?

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.

How does monday.com support engineering and bug tracking workflows?

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.

Why is monday.com the best AI engineering project management software?

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.

How much does monday.com AI engineering project management software cost?

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.

Does monday.com have an engineering project management app?

Yes, the monday.com app is available for download on the iOS and Android app stores.