From Roadmap to Release. One Platform.

monday.com Dev is an end-to-end software delivery platform built for modern software teams to manage product roadmaps, sprint planning, backlog management, bug tracking, releases, and engineering workflows in one collaborative workspace. Replace disconnected development tools with AI-powered automation, real-time dashboards, seamless integrations, and live visibility into every stage of the software development lifecycle.

Whether you're managing a single product team or coordinating multiple engineering squads, monday.com Dev keeps product managers, developers, QA, DevOps, and business stakeholders aligned on the same live data. With customizable workflows, native integrations with development tools, and real-time progress tracking, teams can plan, build, release, and deliver software faster with complete visibility.

As engineering organizations scale, many teams also leverage the flexibility of monday.com Dev to build tailored workflows that provide greater visibility into engineering capacity, workload distribution, and project priorities. By bringing delivery data, sprint progress, and team activities together in a single workspace, organizations can create a foundation for more informed resource planning and allocation, helping leaders balance workloads, identify potential bottlenecks, and align engineering efforts with strategic business goals — all within a connected software delivery environment.

Move beyond spreadsheets and manual resource tracking. Get a centralized view of people, projects, capacity, workload, and actual hours — so managers can identify resource gaps, balance workloads, and allocate the right resources to the right projects at the right time.

Automatically move items when a pull request merges, triage and route incoming bugs, notify stakeholders when a release is ready, flag stale tickets, and escalate sprints trending off track — all without writing a line of code.

Seamlessly connect with GitHub, GitLab (including on-premises), Slack, Microsoft Teams, Jira (migration support), Figma, Zapier, Make, and 200+ other business applications.

• Sprint Risk Detection: AI flags sprints likely to slip based on velocity trends — before standup, not after the deadline is missed.
• AI Agents for Triage: Automatically triage incoming bugs and issues and route them to the right owner.
• Sidekick (AI Assistant): Summarizes sprint boards, drafts release notes, and answers status questions across the workspace.
• AI Workflows: Chain multiple automations and AI steps into a single natural-language-described process.
• VS Code Extension: Manage monday Dev tasks and give AI coding assistants richer project context without leaving the editor.
• Credit-Based AI Consumption: AI actions draw from a shared credit pool, with admin usage dashboards for predictable tracking.

monday Dev's recent releases lean into agentic sprint planning and deeper source-control context, so engineering leads spend less time compiling status and more time unblocking work.

• Agent-proposed sprint scope: Ahead of planning, monday agents review past velocity and current team capacity and propose a sprint scope automatically, rather than leaving estimation entirely to the team.
• Live blocker and at-risk detection: Once a sprint is running, agents continuously scan burndown data and flag blockers or at-risk items early enough to act on them before they threaten the release date.
• Sidekick on ticket and sprint boards: Sidekick now surfaces team overload and SLA risk directly on ticket boards and can generate end-of-sprint summaries and release notes on request.
• Secure GitLab on-premises connection: Teams on self-hosted GitLab can connect merge requests and project updates securely, keeping two-way sync with full control over where the data lives.
• Richer VS Code context for AI coding assistants: The monday VS Code extension now feeds task and board context directly to AI coding assistants, so in-editor suggestions line up with the actual sprint the developer is working against.
• “Call My Agent” in engineering workflows: The same decision-based automation block available in Work Management can be dropped into Dev workflows — for example, routing an ambiguous bug report to an agent for triage instead of a fixed rule.

Practically, this gives Thinqloud's clients a way to pilot AI-assisted sprint planning and automated triage without replacing their existing GitHub/GitLab workflow — the AI layer sits on top of, not instead of, the engineering team's normal process.

Close the gap between what engineering thinks is done and what stakeholders see, cut manual status reporting, catch at-risk sprints early, and give product and business teams the same real-time picture developers are working from.

At Thinqloud, we help engineering organizations unlock the full potential of monday Dev through consulting, implementation, sprint-workflow design, GitHub/GitLab integration, data migration from tools like Jira, custom dashboard development, team training, and ongoing support — ensuring faster adoption and measurable delivery improvements.