Atlassian's issue and project tracker for software teams, now with Atlassian Intelligence for drafting issues and summarizing work.
Jira, made by Atlassian, is the dominant issue tracker and project management tool for software teams. For agile development — sprints, backlogs, scrum and kanban boards, and detailed issue workflows — it is the industry default, deeply entrenched in how most engineering organizations plan and track work. In 2026 it folds in Atlassian Intelligence, AI that helps draft issues, summarize work, surface dependencies via natural language, and assist with editing.
The plan structure: Free covers up to 10 users with scrum/kanban boards, agile reporting, and custom workflows — genuinely usable for small teams. Standard (~$7.91/user/mo) adds scale and permissions, while Premium (~$14.54/user/mo) is where the AI lives — Atlassian Intelligence is included at no extra charge, along with advanced roadmaps, automation, and a 99.9% SLA. Enterprise (custom) adds centralized security and unlimited sites.
Its strengths are depth and ecosystem. Nothing matches Jira's configurability for complex software workflows, its reporting, or its integration ecosystem — and it ties tightly into the rest of Atlassian (Confluence, Bitbucket). For large engineering teams with intricate processes, that depth is exactly why it remains the standard.
The honest weaknesses: that same depth makes Jira heavy and complex — it can feel like overkill and slow down small teams who do not need its machinery, and the AI features only arrive at the Premium tier. Teams wanting a lighter, faster experience often prefer Linear, and those wanting an all-in-one flexible workspace look at ClickUp or Asana. See Jira vs Linear.
Who it is for: software teams — especially larger ones — that need deep agile workflows, configurability, and the Atlassian ecosystem. Who it is not for: small teams who want speed and simplicity, or anyone who finds Jira's complexity outweighs its power for their scale.
Jira's core: managing sprints, backlogs, and scrum/kanban boards with detailed issue workflows. For engineering teams running agile, it is the default tool, with the reporting and configurability to support complex development processes at scale.
On Premium, advanced roadmaps map cross-project dependencies, and Atlassian Intelligence helps surface related issues via natural language. Large organizations use this to coordinate work spanning many teams and projects.
Teams already using Confluence and Bitbucket use Jira as the connective tissue of their workflow — issues link to docs and code, creating an integrated planning-to-shipping pipeline that standalone trackers cannot replicate.
Jira has four tiers: Free (up to 10 users, scrum/kanban boards, agile reporting, custom workflows, 2GB storage), Standard (~$7.91/user/mo, more scale and permissions), Premium (~$14.54/user/mo, up to 300 users), and Enterprise (custom). The key thing for AI buyers: Atlassian Intelligence is included at no extra charge but only from the Premium tier — Free and Standard users do not get the AI features. Annual billing saves up to 20%. For very large self-hosted deployments, Jira Data Center starts at around $51,000/year, a different league entirely.
Atlassian Intelligence is included at no extra cost starting with the Premium tier (~$14.54/user/mo). Free and Standard plans do not include the AI features, so if AI-assisted issue drafting, summarizing, and dependency surfacing matter to you, you need Premium or Enterprise.
Yes, for small teams. The free tier supports up to 10 users with scrum and kanban boards, agile reporting, and custom workflows — enough to run real agile development. The main limits are 2GB storage and the lack of AI and advanced roadmap features.
Jira is deeper, more configurable, and the standard for large or complex engineering organizations, especially within the Atlassian ecosystem. Linear is faster, simpler, and favored by teams who value speed and a clean experience over configurability. Choose based on whether you need depth or lightness. See our Jira vs Linear comparison.
It can be. Jira's power comes from depth and configurability, which is overkill for small teams with simple needs and can slow them down. If your team wants to move fast without heavy setup, a lighter tool like Linear is often a better fit than Jira's full machinery.
Yes — that is one of its biggest advantages. Jira integrates tightly with Confluence (docs) and Bitbucket (code), letting issues link to documentation and source. For teams already in the Atlassian ecosystem, this connected workflow is a major reason to choose it.
Full review coming soon.