JetBrains launches open agent system in MENA

As organisations accelerate AI adoption, software teams are rapidly shifting from simple AI assistants to autonomous coding agents. Without the right infrastructure, this transition often results in fragmented workflows, unmanaged spending, governance gaps, and code that lacks deep project context. To address these challenges, JetBrains, the creator of intelligent software development tools trusted by over 15 million users, today announces the official MENA launch of its open agent system. JetBrains is bringing JetBrains Air, Junie CLI, and JetBrains Central to the region’s tech hubs to help organisations move beyond AI hype and achieve real adoption at scale. By providing a developer-grade cockpit combined with an organisation-grade control plane, JetBrains is positioning itself as the default platform for this new era of agentic software development.

JetBrains Air: The dedicated environment for parallel AI work

JetBrains Air is the Agentic Development Environment (ADE), designed to improve developer and team productivity through structured agentic workflows, collaboration, and task automation.

• Multi-agent orchestration: Developers can delegate tasks to different agents in the same tool – such as Claude Agent, Codex, Gemini CLI , and Junie CLI – running them concurrently within a single, unified workspace.
• Isolated execution: To ensure safety, agents run in isolated Docker containers and Git worktrees. Air optimises how developers guide and review agent output, keeping reviews grounded in the full codebase context.
• Open and agent-agnostic: Built on the open Agent Client Protocol (ACP), Air provides the infrastructure for developers and teams to integrate their preferred agents. With a full ACP Registry coming soon, Air is ensuring a future-proof environment and the flexibility teams need to scale without the constraints of vendor lock-in.
• Workflow coherence: Air moves agentic work out of isolated chat tools and into a purpose-built, agent-native remote infrastructure. This provides a professional environment where agents have the compute and context needed to execute complex tasks without taxing local resources.

Junie CLI: The high-integrity, LLM-agnostic coding agent

Junie CLI is a standalone autonomous agent that delivers JetBrains’ signature “deep project understanding” beyond the IDE into terminals and automation workflows.

• Deep code-aware context: Leveraging 26 years of IDE expertise, Junie CLI provides agents with structured context – including symbols, navigation, and Git history – enabling reliable, production-grade behavior.
• LLM-agnostic by design: Through a “Bring Your Own Key” (BYOK) model, Junie supports all top-performing models, including Gemini, Claude, and GPT. This ensures organisations maintain full flexibility and control over their data and model choices.
• High-integrity, low-cost execution: By grounding work in codebase reality rather than prompt-based guesses, Junie stops “shadow tech debt” before it reaches production. This precision makes Junie cost-efficient by design; it delivers the same high-quality output as top-tier models but at up to 4x lower cost (based on SWE-rebench results), ensuring real ROI at scale.

JetBrains Central: The organisational-grade control plane

JetBrains Central (part of the JetBrains Cloud Platform) enables AI adoption at the organisational level by solving “AI era” problems of fragmented governance and unclear ROI.

• Governance and security: Provides a single governance layer to manage how agents interact with sensitive intellectual property, ensuring compliance and security across the team.
• Cost visibility: Offers a unified view of token consumption and AI spending, moving away from seat-based pricing to help finance and IT leads manage infrastructure costs.
• Secure execution: Acts as the execution plane that connects agents to the actual systems where software is built – repos, CI/CD, and knowledge bases – rather than isolated, unmanaged sandboxes

The JetBrains strategy: Openness, integrity, and ROI

Real AI adoption is currently blocked by governance concerns and fragmented tooling,” says Nadia Rinsky, Head of GTM in MENA at JetBrains. “Our strategy in MENA is built on the principle of earned adoption – providing tools that have a clear ROI for both the developer and the organisation. By combining openness with deep integrity, we enable teams to adopt agents incrementally without being forced into proprietary silos.”