Atlassian Introduces AI Native Jira to Transform Development Teams

In Today’s edition:

1. Jira Expands Into AI Native Software Development With Intelligent Agents

2. PMNA TUTORIAL: How to Build an AI Project Update Agent Using Teams/Slack + MCP

3. Monday.com Introduces AI Pricing Model for the Agentic Work Era

4. TOOL REVIEW: Backdrop Helps Automate Product Management Workflows with AI Teammates

5. Exciting Career Opportunities for Product and Project Management Professionals

Reading time: 5 minutes

HEADLINE NEWS

Jira Expands Into AI Native Software Development With Intelligent Agents

Atlassian has unveiled a major evolution of Jira to support AI-native software development, introducing new capabilities that help teams manage both human developers and AI coding agents in a single workflow. The announcement reflects the company's vision of Jira becoming the central orchestration platform for planning, assigning, governing, and measuring software delivery in the era of agentic AI.

• Jira can now plan, assign, and track work across both human developers and AI coding agents.

• Teams can convert high-level product intent into agent-ready specifications that AI agents can execute.

• New governance features enable organizations to monitor AI agent sessions, outputs, and engineering workflows.

• Engineering loops such as coding, reviews, and task execution can be automated to accelerate software delivery.

• Atlassian is positioning Jira as the system of record for AI-native software development, extending its role beyond traditional project management.

The latest Jira updates demonstrate Atlassian's commitment to making AI agents an integral part of the software development lifecycle rather than standalone coding assistants. For engineering leaders and project managers, the new capabilities provide greater visibility, governance, and coordination as AI becomes a core contributor to software projects. Read More 

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PMNA TUTORIAL: How to Build an AI Project Update Agent Using Teams/Slack + MCP

This tutorial demonstrates how to build an AI Facilitation Agent that collects weekly project status updates through Microsoft Teams or Slack, eliminating the manual chasing that consumes project managers' time. Instead of PMs sending reminders and team members forgetting to log into Jira, Monday.com, Asana, or Azure DevOps, the agent gathers updates conversationally and syncs them back automatically. The PM shifts from being a collector of updates to a reviewer of them.

You’ll learn to:

• Every Thursday, the agent identifies all open work items.

• It messages each owner with their assigned tasks.

• It asks three quick questions: what's done, what's next, and any blockers.

• It asks follow-up questions on dependencies or risks.

• It summarizes the conversation and confirms accuracy with the user.

• Once confirmed, the MCP server writes the update directly into the PM platform.

• The PM receives a summary dashboard of collected updates, blockers, and risks.

Why it matters:

The MCP server is what makes this reusable — it securely exposes project data and actions to the AI, so the agent doesn't need custom integrations with every project tool. The result is a 70–90% reduction in manual status collection alongside higher-quality data, better compliance, and earlier risk detection. Readers finish understanding not just how to build the agent, but why conversational updates through Teams or Slack improve project execution while cutting administrative overhead.

FULL TUTORIAL HERE

monday.com Introduces AI Pricing Model for the Agentic Work Era

Monday.com has introduced a new AI-powered pricing model designed to monetize both human users and AI-driven workflows, marking a significant shift in how the company charges for its platform. The move is expected to strengthen revenue growth while positioning monday.com to benefit from the growing adoption of AI across workplace collaboration and project management.

• Introduced a "seats + credits" pricing model that charges for both human users and AI-powered tasks.

• The new pricing strategy is designed to capture additional revenue as businesses increase their use of AI agents and automations.

• Analysts expect the company to sustain over 20% annual revenue growth while improving operating margins.

• The company continues to strengthen its position as a leading work management platform through AI-focused product innovation.

• Analysts maintain a Strong Buy outlook, forecasting potential annualized returns of around 26% over the next five years, despite ongoing competition.

The introduction of AI-based pricing reflects monday.com's strategy to align its business model with the increasing role of AI in workplace productivity. For project managers, the update signals a future where AI automation becomes a core part of project execution, with pricing evolving to reflect the value generated by both people and intelligent agents. Read More 

TOOL REVIEW: Backdrop Helps Automate Product Management Workflows with AI Teammates

Backdrop AI is an AI-powered product operations platform that acts like an autonomous product team instead of a traditional AI chatbot. It introduces two specialized AI teammates (Alex, an AI Product Manager, and Sam, an AI Engineer) that work together to manage planning, documentation, task coordination, and technical execution across a company's existing tools. By automating repetitive product operations while keeping humans in control of approvals, Backdrop helps teams accelerate product development with less manual effort.

• AI Product Management – Analyzes customer feedback, prioritizes feature requests, writes product requirement documents, and organizes product roadmaps.

• AI Engineering Support – Assists with implementing features, fixing bugs, updating websites, and completing development tasks from approved plans.

• Persistent Knowledge Memory – Retains product decisions, customer insights, project history, and organizational knowledge for future reference.

• Workflow Automation Across Tools – Connects with platforms like Slack, Linear, Asana, Notion, and Google Workspace to streamline collaboration and task management.

• Human Approval Controls – Performs work autonomously while requiring user approval before executing important actions or production changes.

Backdrop is especially relevant for project managers because it automates many of the time-consuming coordination tasks that often slow projects down. Instead of spending hours organizing backlogs, documenting requirements, tracking progress, and aligning teams, project managers can focus on strategic planning, stakeholder communication, and delivering successful outcomes. For organizations managing multiple products or fast-paced development cycles, Backdrop serves as a powerful AI teammate that improves efficiency without sacrificing visibility or control.

TOOL LINK

Exciting Career Opportunities for Product and Project Management Professionals

• Senior Application Portfolio Manager - Bentley Systems @ HDR

  📍 Charlotte, NC.

• Senior Lead Product Manager @ Wells Fargo

  📍 Charlotte, NC.

• Director, Product Management @ Lowe's Home Improvement

  📍 Charlotte, NC.

• Project Manager I @ Atrium Health

  📍 Winston-Salem, NC.

• IT Project Manager @ BIC

  📍 Charlotte, NC.

THAT’S A WRAP