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March 26, 2026

From Jira to AI-Native Task Management

Using Atlassian and Linear as examples

/ From Jira to AI-native task management 2026

Slide contents

  1. 1. From Jira to AI-Native Task Management

    Using Atlassian and Linear as examples

  2. 2. 00. The Ticket Era Is Ending

  3. 3. The Ticket Is No Longer Central

    Center: context and agents

    Classic: requirements, status, handoff

    AI-native: context, permissions, agents

    Anthropic: ~50% agentic activity — dev

    Linear: ~25% issues by agents

  4. 4. From PDLC to Task Management

    PDLC: engineering process changes

    AI-native org: structure changes

    This article: work management

    Question: how do we redesign work?

  5. 5. 01. The Jira Era Was Necessary

  6. 6. The Handoff Model Made Sense

    Roles, stages, audit

    Roles, stages, artifact handoff

    Visibility, responsibility, audit

    Atlassian: 350K+, 80% Fortune 500

    Works while implementation is manual

  7. 7. The Ticket Loses Truth Monopoly

    Code, tests, docs, triage — with AI

    Ticket as one artifact

    Two companies show the shift

    Atlassian and Linear: different bets

  8. 8. 02. Atlassian Changed Strategy

  9. 9. Cloud Migration → Enterprise AI Platform

    FY23–FY26: strategy shift

    FY23: $3.5B+, 260K+ customers

    Dec 2023: Atlassian Intelligence GA

    FY24: $4.4B, 300K+ customers

    May 2024: Rovo launch

  10. 10. The Bet Became Explicit

    From products to apps and agents

    Software Collection + Rovo Dev GA

    DX acquisition for ~$1B

    Enterprise question: where is ROI?

  11. 11. Q2 FY26: Operational Results

    $1.6B — Quarterly revenue

    $1B+ — Cloud revenue

    5M+ MAU — Rovo users

  12. 12. The Market Is Nervous

    Stock volatility shows uncertainty

    Aug 2024: shares −11%

    May 2025: −14%

    Feb 2026: −8% after strong quarter

    Mar 2026: −1600 employees

  13. 13. 03. Linear Built New Form

  14. 14. From Product Quality to AI-Native Form

    From product quality straight to the future model

    2023: Similar Issues

    2024: design reset

    2024: Initiatives

    Profitable, 10K+ paying customers

  15. 15. Agents Become First-Class Users

    May 2025: MCP server

    Summer 2025: Agent Interaction SDK

    Aug 2025: Cursor agents

    Jun 2025: Series C $82M

  16. 16. March 2026: Issue Tracking Is Dead

    Linear Next and Linear Agent beta

    Linear Agent — Context and scope

    75% — Enterprise with coding agents

    5× — Agent-completed work

  17. 17. 04. Atlassian vs Linear

  18. 18. Atlassian → Control Plane

    Enterprise substrate for people and agents

    Scale of state + cross-functional context

    Rovo MCP: internal/external agents

    DX: DevEx and AI adoption

    System of record + coordination

  19. 19. Linear → Interaction Model

    A deep AI-native tool for product development

    Agents as process participants

    Context + backlog + code + sessions

    New operating model

    Closer form, weaker chain position

  20. 20. 05. Context + Execution

  21. 21. New Competitor: AI Tools

    Agent platforms claim the universal executor role

    Not only Atlassian vs Linear

    Cursor Automations: always-on agents

    Self-hosted cloud agents

    Anthropic: dev dominates agents

  22. 22. Battle for Context + Execution

    Context + permissions + execution

    Ticket as one interface

    Atlassian: 350K + context + Rovo MCP

    AI-code clients expand seats faster

  23. 23. 06. Ticket ≠ Work

  24. 24. Key Takeaways

    Old process won't outwait AI-native

    Bottleneck: decisions + handoff

    Product cycle compresses coordination

    Atlassian protected; Linear clearer

  25. 25. The Key Question

    Context → execution → measurement

    Context: one truth about work

    Execution: action from context

    Measurement: better delivery, less noise

  26. 26. References and Materials

    Key sources

    Anthropic autonomy; Linear Next.

    Linear MCP, SDK, Cursor agents.

    Linear Series C; Atlassian FY26.

    Atlassian Software Collection; DX.

  27. 27. Thank You!

    From Jira to AI-Native Task Management

    More materials on this topic are in the "Book Cube" channel

    Alexander Polomodov, Technical Director & Fellow, T-Technologies

    @Book_Cube