JIRA VS LINEAR
Built for AI-native teams with limitless potential
Don’t let tools limit your team. Jira gives you room to scale with an agentic system of record built for flexibility, context, and governance.
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See why teams choose Jira, from startup to enterprise.
Jira의 에이전트는 모든 팀이 할 수 있는 일의 기준을 높입니다. 엔지니어나 AI 전문가가 아니어도 됩니다. Jira에서 작업하면 동일한 에이전트 패턴 및 자동화에 액세스할 수 있습니다. 이것이 바로 역량이 개인을 넘어 시스템의 속성으로 확장되는 Jira의 진정한 강점입니다.”
JEFF ARBOR, 제품 제공 및 자동화 책임자
Agents in Jira raise the floor for what every team can do. You don't need to be an engineer or an AI expert. If you work in Jira, you get access to the same agentic patterns and automations. That's the real power—capability becomes a property of the system, not just the individual.”
MATTHEW HARGREAVES,
[Jira는] 일상을 더 간편하게 만들어 줍니다. [우리는] 바쁘게 일하지 않으니 더 가치 있는 일에 시간을 쏟을 수 있습니다.”
JOE COTANT, 선임 기술 프로그램 매니저
Context that compounds as you scale
From specs to releases to incidents, software work inevitably fractures as you scale. Teams growing from startup to enterprise have trusted Jira to hold that context together for over 20 years.
- 44%
- Better agent output
- 48%
- less token usage
Findings from Atlassian Engineering Productivity Study, 2026
AI를 통한 팀의 비전 가속화
계획, 추적 및 AI 에이전트를 한곳에서 연결하여 큰 아이디어를 제공된 업무로 바꾸세요.
몇 초 만에 프로젝트를 시작
사용자, 프로젝트 및 코드 전반의 컨텍스트를 끌어와 전체적인 상황을 파악하여 결정을 내릴 수 있습니다.
AI 에이전트를 통해 더 많은 것을 제공
관리 업무를 자동화
Autonomous workflows for every team
몇 초 만에 프로젝트를 시작
사용자, 프로젝트 및 코드 전반의 컨텍스트를 끌어와 전체적인 상황을 파악하여 결정을 내릴 수 있습니다.
AI 에이전트를 통해 더 많은 것을 제공
관리 업무를 자동화
Autonomous workflows for every team
몇 초 만에 프로젝트를 시작
사용자, 프로젝트 및 코드 전반의 컨텍스트를 끌어와 전체적인 상황을 파악하여 결정을 내릴 수 있습니다.
AI 에이전트를 통해 더 많은 것을 제공
관리 업무를 자동화
Autonomous workflows for every team
Deepen your context layer
Extend Jira to get full visibility and collaboration across teams.
Engineering intelligence
DX tracks cycle time, PR throughput, and developer velocity so engineering leaders can see exactly where AI is moving the needle.
AI 기술 스택에서
Atlassian MCP를 통해 Cursor, Claude Code, Codex, Github Copilot 또는 CLI에서 바로 업무 항목을 업데이트하세요.
AI 기술 스택에서
Atlassian MCP를 통해 Cursor, Claude Code, Codex, Github Copilot 또는 CLI에서 바로 업무 항목을 업데이트하세요.
What you get with Jira
| When teams need… | Jira | Linear |
|---|---|---|
See how engineering teams are scaling with Jira
Frameworks, research, and real examples from teams building AI-native software at scale.
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Frequently asked questions
Is Jira a good alternative to Linear?
Jira is a strong fit for teams that need to scale AI-native software development across many teams and workflows. Linear is quick to set up for a single team, while Jira is built to support frontier teams, platform teams, ops teams, and business teams as an organization grows, with the governance and track record 300,000+ customers rely on.Can Jira scale from a startup to a large enterprise?
Yes. Jira has helped teams scale from their first startup launch to the world's largest enterprises for over 20 years. You can start with one team and one workflow, then expand across your whole organization when you're ready.Does Jira work with AI coding agents like Claude, Cursor, and Copilot?
Yes. Assign any work item to Claude, Cursor, Codex, GitHub Copilot, or the native Jira coding agent. Agents draw on full organizational context through the Atlassian Teamwork Graph, so they have the specs, decisions, and history they need before they write a line of code.How does Jira handle AI agent governance and permissions?
Jira gives admins explicit control over what agents can see and do, tied to your enterprise permission model. Every work item, review, and deploy traces back to a person, with audit trails and enterprise compliance built in: HIPAA, FedRAMP, and ISO 27001.Is Jira harder to set up than Linear?
Linear is quick to stand up for a single team. Jira is built to flex across many team types, so you can start simple with one team and one workflow, then scale when you're ready. That flexibility and range is why thousands of teams get started on Jira every year.
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