JetBrains AI для команд и организаций: от разрозненного использования ИИ к координированной разработке

JetBrains AI for Teams and Organizations: From Fragmented AI Usage to Coordinated Software Development Source: https://blog.jetbrains.com/blog/2026/07/07/jetbrains-ai-for-teams-and-organizations-from-fragmented-ai-usage-to-coordinated-software-development/

We’re about to start rolling out a new set of AI capabilities that provide shared context, reusable agentic workflows, organization-level governance, and cost control for software production.

Developers use different AI tools depending on the task – from JetBrains IDEs to terminal-based agents such as Claude Code, Codex, and other emerging solutions. That freedom is a good thing. Teams shouldn’t have to standardize on a single vendor to benefit from AI.

But without a shared system, that freedom comes at a cost. Individual developers become more productive, while organizations are left with fragmented workflows, isolated context, and growing costs. AI shouldn’t force organizations to choose between developer flexibility and organizational control.

That’s why we’re introducing JetBrains AI for Teams and Organizations: an open, vendor-agnostic set of AI capabilities that connects the AI tools developers already use with shared context, reusable agentic workflows, organization-wide governance, and cost management.

Starting in July, we’ll begin gradually rolling out the first capabilities.

Explore the new offering

The updated JetBrains AI portfolio at a glance What becomes available this summer Over the coming weeks, we’ll gradually introduce the following new capabilities for teams and organizations:

Team automations and cloud agents

Developers will be able to run agents in managed cloud environments, allowing long-running engineering tasks to execute independently while remaining visible and shared between team members. Teams will be able to create automations that trigger cloud agents in response to repository events, schedules, or other engineering workflows.

Automations: event-triggered and scheduled workflows JetBrains Context

JetBrains Context will provide agents with the repository intelligence they need to understand complex codebases more efficiently, helping them spend less time exploring and more time executing. Fast access to cross-repository knowledge, code examples, and references will reduce agent turns, lower execution costs, and improve code quality.

JetBrains Central

As usage of various agentic development tools and services expands across engineering organizations, managing AI adoption becomes an arduous task.

JetBrains Central will provide organization-wide management tools for AI adoption, giving engineering leaders centralized visibility into the AI tools their teams use, as well as governance, access management, model and agent controls, policies, analytics, and cost attribution across teams.

Developers continue working in the tools they prefer, while organizations gain a single place to understand and govern AI adoption.

JetBrains Central: AI Credits consumption report JetBrains Central CLI

Developers increasingly use different AI tools such as Claude Code, Codex, and Gemini CLI. JetBrains Central CLI will bring these workflows into the same organizational environment, providing governance, visibility, and analytics, while allowing developers to continue working in the tools they already prefer.

Open integrations

Organizations rarely rely on a single AI tool. JetBrains AI for Teams and Organizations is vendor-agnostic by design, connecting external tools via MCP and external agents via ACP, so organizations can evolve their AI stack without sacrificing governance or developer choice.

From AI licenses to AI credits We believe companies need transparent and sustainable pricing as they adopt AI and agentic development at scale. This means no hidden fees, no deeply subsidized packages, and no proxy pricing that can lead to unexpected cost increases later.

Therefore, alongside the new capabilities, we’re evolving our commercial model to better support AI-powered software development. For business customers, we will transition from AI licenses to flexible on-demand AI credits.

AI credits make it easier for organizations to reallocate AI investments between developers and manage them over time, as credits are valid for longer (twelve months as opposed to one month). Furthermore, AI credits will eventually go beyond LLM tokens and will be able to be used to pay for new services we plan to introduce in the near future.

IDE licenses that include AI resources (AI Free, All Product Pack, dotUltimate) will continue to include them, yet with more flexibility.

Alongside the new governance capabilities JetBrains Central brings, this new commercial model should unlock additional value for JetBrains AI business customers.

A gradual rollout We have been testing the new capabilities with early design partners, and in the current market, we feel compelled to open them faster to a larger group of customers.

The improved capabilities will become available gradually to business customers throughout July and August. Individual and non-commercial users will mostly not be exposed to these changes and new capabilities yet.

Looking ahead Engineering teams need more than SOTA models. They need shared workflows, reusable context, managed execution, organizational visibility, and governance that allows AI adoption to scale safely across engineering organizations.

Our direction is to build an open system that connects developers, AI agents, and organizations without forcing customers into a single model, interface, or workflow.

JetBrains IDEs remain where developers do their best hands-on coding. Around them, we’re building the services that help teams coordinate AI work across repositories, terminals, agents, and cloud execution environments.

Learn more Visit our new JetBrains AI for Teams and Organizations website to explore each capability, follow the rollout timeline, and request a conversation with our team.

Explore the new offering