Agentic Index

Cursor vs JetBrains AI (2026)

The AI first editor against the AI inside the editor you already use. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Cursor rebuilt the IDE around agents, with parallel background agents and predictive multi file editing, from 20 dollars a month with a free tier, documenting 12 of 14. JetBrains puts Junie and a CLI inside the IDEs your team already opens every morning, with bring your own key, MCP and a plan then execute then verify loop, from 10 dollars a month at 10.5 of 14. If your team is on IntelliJ, PyCharm or Rider, the switching cost is the argument, not the feature list.

On the Agentic Index coding agent ranking, neither Cursor nor JetBrains AI clears the bar, which asks for all five merge loop capabilities documented in full. Cursor does not document testing, debugging and optimization in full; JetBrains AI does not document observability and auditability in full. 4 of the 63 vendors in the lane clear it. See the coding agent ranking

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Cursor and JetBrains AI are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 969 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose Cursor if

  • You will change editors to get deeper agent capability, including parallel background agents.
  • Predictive editing across files is the capability you want every day.
  • The VS Code extension ecosystem carries over and your team already lives there.

Choose JetBrains AI if

  • Your team is on JetBrains IDEs and moving everyone to a new editor is the real cost.
  • Bring your own key and MCP matter for how you want to control models and tools.
  • Ten dollars a month against twenty across a large team is a budget conversation you can win.
At a glance Cursor JetBrains AI
Category Coding agent Coding agent
Entry price From $20/mo · free tier From $10/mo
Free / trial Free (Hobby tier implied) Free tier
Pricing confidence public partial public exact
Feature
C
Cursor
J
JetBrains AI
Action & orchestration

Integrations & Tool Calling

Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools.

Full / Explicit Full / Explicit

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

Full / Explicit Full / Explicit

Triggers & Channel Coverage

How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools.

Full / Explicit Full / Explicit

Upgraded from P: invocation now spans IDE chat, tool window, standalone CLI in any terminal, CI/CD via GitHub Actions and GitLab, ACP clients, and remote or async runs, which is breadth rather than a single entry point.

Knowledge & context

Knowledge Grounding & RAG

Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers.

Full / Explicit

Upgraded from P: a semantic codebase index plus @codebase, @file and @folder scoping, project rules, MCP data sources and agents searching past conversations is grounding on the customer's own material across several layers.

Full / Explicit

Upgraded from P: grounding runs on the IDE's semantic analysis engine rather than text embeddings, giving import graphs, class hierarchies and call chains, plus persistent AGENTS.md instructions and MCP connected external sources.

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.

Full / Explicit

Upgraded from P: agents searching past conversations as context is a documented memory capability added since the May grid, alongside persistent rules and cloud sessions that survive across devices.

Partial

AGENTS.md is durable project scoped instruction context rather than agent memory; sessions are managed and resumable but no cross session memory store is documented.

Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Full / Explicit

Upgraded from P: a documented approval framework with tiered actions, a sandbox with granular network and filesystem controls, read only enforcement for Ask mode, and enterprise agent run settings. Recorded honestly: security researchers have published sandbox escape findings including CVE-2026-22708, and auto-run remains the documented risk surface, but the shipped guardrail mechanism is real and configurable.

Full / Explicit

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Full / Explicit Partial

Held at P: .aiignore, AGENTS.md and per command approval are real user level controls, but no organisation level identity or governance surface (SSO, RBAC, audit logging, admin policy) was retrieved for the AI product, and no security attestation specific to it. The axis conjunction is not met on the evidence found.

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Full / Explicit

Held at F rather than downgraded, unlike most of this lane. The difference is that Cursor documents an AI code tracking API and audit logs as distinct enterprise products, not just usage telemetry: the API attributes which code was AI generated and the audit log records who did what. That is a retained organisation level record of agent activity, which is the axis, not a live progress view. Still short of a per action reasoning trace, which is why the basis says so.

Partial

Progress reporting, reviewable diffs and session status are documented, but no persistent execution trace or audit log across sessions; the debugger session state is inspectable at runtime rather than retained as a record.

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

Partial

Held at P and the vendor is explicit about why: no on premises, hybrid or VPC deployment is offered, and even bring your own model keys route through Cursor's AWS infrastructure for prompt construction. Privacy Mode, CMEK and PrivateLink are strong data controls but they are not deployment or residency choice. This is the clearest cloud only posture in the lane.

Partial

Local model serving via Ollama, LiteLLM or LMStudio keeps inference on the developer's own machine, which is real deployment control at the individual level; held at P because no organisation level self host, VPC or residency option was retrieved.

Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.

Full / Explicit

Upgraded from P: the Cursor Marketplace with /add-plugin installable bundles is a vendor operated distribution surface with named launch partners, which is the axis. It did not exist when the May grid was built; plugins shipped in 2.5 on 17 February 2026.

Partial

Modes and slash commands are behaviour presets rather than a library of prebuilt agents or installable packs; the MCP registry is a server catalogue, credited to Ext.

Platform extensibility

Model Flexibility & Routing

Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys.

Full / Explicit Full / Explicit

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Full / Explicit Full / Explicit

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.

Partial

Held at P per the lane wide axis rule. BugBot and the agent's own test running verify the customer's code and the agent's output; no harness for evaluating or regression testing agent behaviour is documented. Consistent with coderabbit, kiro, jetbrains-ai, google-antigravity and Claude Code in this lane.

Full / Explicit

Debug mode is the strongest evidence on this axis in the lane so far: the agent inspects live runtime state through the real debugger rather than reasoning from logs, which is genuine verification of its own work.

Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

No / Not documented

Downgraded from F. The May basis carried no URL and no content, and neither pass found first party documentation of a browser or computer use tool. Background agents run in sandboxed cloud VMs and can reach the network under granular controls, but running in a sandbox is not the same as driving a browser through a human interface. Compare cline, where browser_action has its own docs page and the axis is clearly met. Recorded as not documented rather than absent.

No / Not documented

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
C
Cursor
J
JetBrains AI

Entry price

Lowest public entry point

From $20/mo · free tier From $10/mo

Pricing confidence

How public the numbers are

Public, partial Public, exact

Billing

Primary billing axis

hybrid hybrid

Variable cost

Workload / overage exposure

Medium variable cost Low variable cost

Free tier / trial

Try before you buy

Free tierTrial
Free tierTrial

Buying motion

Self-serve vs sales call

Mixed Self-serve

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