JetBrains has spent two decades selling tools that make developers more productive. Now it is publicly working through what happens when those developers adopt AI agents faster than anyone can budget for them. The company says its own AI development spending rose roughly tenfold in six months 2. It has also reportedly posted its first-ever loss 3. And it is pitching a governance product to help other companies control the same kind of cost growth 1.
What JetBrains admitted about its own bill
In a post on its company blog, JetBrains wrote that its AI development expenses grew about 10x over half a year. It said that when costs began climbing, it realized it had no systematic way to control them 2.
The company traced a sharp jump in adoption and token consumption to January 2026. It linked that spike to the release of Anthropic's Claude Opus 4.5 2.
The more revealing detail is how its engineers work. Most JetBrains developers use three to five AI tools in a given month 2. They have not abandoned the company's IDEs. Instead, they have layered several tools on top:
- CLI agents
- Agentic development environments that run multiple agents in parallel
- IDE-integrated assistants 2
JetBrains considered the obvious fix: limit developers to one or two approved tools, as it says other companies have done to reduce overhead 2. Framing that as only one option suggests it prefers a different route.
The loss, and how to read it
A dev.to analysis reports that JetBrains lost $14 million. It attributes the loss to heavy investment in AI products [3]:
- Junie, a coding agent built into all JetBrains IDEs, which the piece says has 343,000 users
- Air, a standalone agentic IDE
- Mellum, an open-sourced coding model
The same piece contrasts that result with Cursor, which it says has reached $4 billion in annual recurring revenue 3.
The causes should be kept separate. JetBrains' blog describes rising internal spending on AI tools its developers use 2. The dev.to piece attributes the loss to product investment 3. Neither establishes that the internal AI bill caused the loss. A tenfold rise in tool spending plausibly adds to margin pressure, but that is an inference, not a reported finding.
The terminal versus the IDE
The dev.to piece is the most aggressive of the three. It argues that the IDE era is ending and that agents now live in the terminal 3. It cites three examples:
- Claude Code, which reads whole repositories, plans multi-step changes, runs shell commands and tests, and iterates without an IDE open
- OpenAI's Codex CLI, rebuilt as a full-screen terminal interface with parallel agent management, voice input and phone-based session control
- Google's Gemini CLI, which it describes as having a generous free tier 3
JetBrains' own data complicates the "terminal won" story. Its developers use IDEs as much as before while adding terminal agents alongside them 2. For now, the pattern looks less like replacement and more like accumulation. That accumulation is what drives up costs.
The pivot: selling the governance layer
JetBrains' response is to position itself above individual agents rather than compete head-on with each one.
The dev.to piece says JetBrains launched Air in March 2026 as an "Agentic Development Environment." In Air, developers guide and review agents rather than write code 3. Air supports multiple agents, including Codex, Claude, Gemini CLI and Junie, through the Agent Client Protocol. It has three components [3]:
- Air in JetBrains IDEs, for orchestrating agents inside the editor
- Air Teams, for coordination between people and agents
- Air Governance, for policy, auditability and cost management
The New Stack frames the company's argument more broadly. In its account, JetBrains warns that AI agents are about to repeat the cloud ROI crisis, when organizations adopted infrastructure quickly and only later discovered they could not track or justify the spend 1.
Its product answer is JetBrains Central. It uses a pricing model described as fixed governance with variable execution, and an Early Access Program opening in Q2 2026 to a limited group of design partners 1. The coverage does not make clear how Central and Air Governance relate. They may overlap, but that is not confirmed.
The New Stack also identifies the central risk. An open, multi-agent platform only works if JetBrains reaches general availability before the market settles on someone else's governance layer 1.
Our read
The most credible part of this story is JetBrains' candor. A developer-tools company admitting it could not control its own AI spending is a useful signal for every engineering leader approving agent subscriptions 2.
It also makes a coherent pitch. If multi-tool sprawl is the norm, the scarce product is not another agent but visibility and control across all of them 12. JetBrains is turning its own problem into a market thesis.
Whether that works depends on timing and trust. Rivals with fast-growing agents are moving quickly 3. Model providers have little incentive to make their usage easy to cap. A tenfold cost increase is a strong argument for governance tools, but JetBrains has to ship before the window closes 1.
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