From Jira to AI-Native Task Management
Using Atlassian and Linear as examples
Slide contents
1. From Jira to AI-Native Task Management
Using Atlassian and Linear as examples
2. 00. The Ticket Era Is Ending
3. The Ticket Is No Longer Central
4. From PDLC to Task Management
5. 01. The Jira Era Was Necessary
6. The Handoff Model Made Sense
7. The Ticket Loses Truth Monopoly
8. 02. Atlassian Changed Strategy
9. Cloud Migration → Enterprise AI Platform
10. The Bet Became Explicit
11. Q2 FY26: Operational Results
$1.6B — Quarterly revenue
$1B+ — Cloud revenue
5M+ MAU — Rovo users
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. 03. Linear Built New Form
14. From Product Quality to AI-Native Form
15. Agents Become First-Class Users
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. 04. Atlassian vs Linear
18. Atlassian → Control Plane
19. Linear → Interaction Model
20. 05. Context + Execution
21. New Competitor: AI Tools
22. Battle for Context + Execution
23. 06. Ticket ≠ Work
24. Key Takeaways
Old process won't outwait AI-native
Bottleneck: decisions + handoff
Product cycle compresses coordination
Atlassian protected; Linear clearer
25. The Key Question
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. 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