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# JetBrains Details Its First Steps to Bring Rapidly Growing AI Spend Under Control

**[InfoQ](https://daily.dev/sources/infoq)** · 3 min read · 0 upvotes · 0 comments

## Summary

JetBrains saw its AI-related development spending increase roughly tenfold in six months, with most developers using three to five AI tools monthly. Rather than restricting tool choice, the company built a centralized access and accounting layer called Central CLI. Requests routed through the CLI pass through JetBrains' existing AI platform, enabling spend visibility, per-developer and per-team limits, and integration with its AI-credit system. Over 1,000 developers adopted it within weeks. The approach contrasts with peers like Accenture and Uber, which responded to rising AI costs with usage restrictions. JetBrains argues that the fast pace of AI model development makes locking down to one or two tools impractical, so separating the access/governance layer from tool choice is preferable.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.infoq.com/news/2026/08/jetbrains-ai-spend>

## Questions this post answers

### How did JetBrains manage rising AI tool spending without restricting which AI tools developers can use?

JetBrains built Central CLI, a wrapper that routes requests from both first-party and third-party AI tools through its existing AI platform, applying its AI-credit system and letting managers view spending and set limits per developer, team, or group. This preserved tool choice while adding centralized accounting, after AI spend grew roughly tenfold in six months. Over 1,000 developers adopted it within weeks.

_Teams weighing AI tool sprawl against cost control can follow how JetBrains structured its approach on daily.dev._

### What caused the sharp rise in AI development spending that JetBrains and other companies experienced?

Token consumption rose sharply starting around January 2026 alongside the arrival of increasingly capable frontier models including Claude Opus 4.5 and 4.6, with most developers using between three and five different AI tools each month. This tool diversity made spend hard to track, prompting JetBrains to first manually collect usage data before automating it via provider APIs and dashboards.

_Anyone tracking frontier model releases and their cost impact can follow the trend on daily.dev._

### How have other companies like Accenture and Uber responded to surging AI usage costs?

Accenture asked employees to curb unnecessary AI use amid rapid escalation in AI token spend, while Uber introduced monthly usage limits after exhausting its annual AI budget within just four months. These direct restrictions contrast with JetBrains' approach of centralizing spend visibility and controls without limiting which tools developers can choose.

_Engineering leaders comparing AI cost-control strategies across companies can track these approaches on daily.dev._

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- [Our First Moves to Get AI Spend Under Control](https://daily.dev/posts/our-first-moves-to-get-ai-spend-under-control-sqjqtyqz5) · JetBrains · 0 upvotes · 0 comments
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Tags: [#genai](https://daily.dev/tags/genai), [#finops](https://daily.dev/tags/finops), [#platform-engineering](https://daily.dev/tags/platform-engineering), [#jetbrains](https://daily.dev/tags/jetbrains)

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