JetBrains is selling independence as the rest of AI coding picks sides
By The New Stack
Key Concepts
- IDE (Integrated Development Environment): Software application that provides comprehensive facilities to computer programmers for software development.
- LLM (Large Language Model): AI models capable of understanding and generating human-like text, used here for coding assistance.
- Agentic Workflow: A system where AI agents perform tasks autonomously or semi-autonomously with human oversight.
- Dogfooding: The practice of a company using its own products to test and improve them.
- Human-in-the-loop (HITL): A model of interaction where AI performs tasks, but a human remains responsible for oversight, review, and final decision-making.
- Consumption-based Pricing: A billing model where users pay based on actual usage (e.g., tokens or compute) rather than a flat per-seat fee.
- Developer Experience (DevEx): The overall satisfaction and productivity of developers, focusing on reducing friction and preventing burnout.
1. JetBrains’ Strategic Positioning
JetBrains, a 26-year-old company, maintains a unique position as the only independent vendor of professional software development tooling. Unlike competitors tied to hyperscalers (e.g., Microsoft/GitHub Copilot with OpenAI, Google’s acquisition of various AI tools), JetBrains remains independent. This allows them to offer developers a choice of models (Gemini, OpenAI, Anthropic) rather than locking them into a single ecosystem.
- Business Model: Historically bootstrapped and profitable, JetBrains relies on revenue from its classic IDEs and team tools to fund its AI research and development.
- Product Ecosystem: Their portfolio includes over 30 products, notably IntelliJ IDEA, the AI coding agent Juni, and the multi-platform language Kotlin.
2. The Shift to AI-Driven Development
The role of the developer is undergoing a fundamental transformation. JetBrains argues that the future of development is not the elimination of the developer, but a shift in their responsibilities.
- The "Control Panel" IDE: The IDE is evolving from a simple code editor into a "control panel" for AI agents. Developers spend less time writing boilerplate code and more time delegating tasks to agents, reviewing AI-generated output, and managing architectural decisions.
- Human-in-the-loop: JetBrains emphasizes that for the foreseeable future (at least several years), human oversight is non-negotiable. Even in an "AGI" (Artificial General Intelligence) scenario, critical systems (like aviation software) will require human pilots/architects to ensure safety and reliability.
3. JetBrains Central: Governance and Consumption
To address the complexities of AI integration, JetBrains is developing JetBrains Central, a cloud-based governance and control plane.
- Purpose: It provides a centralized layer to manage AI usage across an organization, regardless of the specific IDE or editor being used.
- Functionality:
- Governance: Defining who can use which agents.
- Remote Execution: Managing remote agent runners.
- Analytics: Monitoring AI consumption and ROI.
- Pricing Transition: JetBrains is moving toward consumption-based pricing for AI features. They argue that per-seat pricing is unsustainable for AI because the cost of tasks varies wildly (from cents to hundreds of dollars) depending on the codebase and context window.
4. Challenges in the AI Era
- The "Hard Work" Paradox: By offloading mundane tasks to AI, developers are left with only the most complex, high-stress architectural work. This lack of "procrastination time" or "mental breaks" leads to faster burnout.
- Education Gap: Current educational systems (universities and bootcamps) are not aligned with the speed of AI evolution. There is a growing concern about how to train junior developers to reach a senior level when AI can already perform junior-to-mid-level tasks.
- Sustainability: JetBrains explicitly rejects the "subsidized usage" model common among AI startups, aiming instead for sustainable, profitable products where users understand the return on investment.
5. Notable Quotes
- "The IDE should be changing with the role of the developer changing... the IDE is still going to be there; it's just going to be a different IDE."
- "We don't believe that there is going to be a fully agentic scenario without human in the loop in the near future."
- "If you offload all [mundane tasks] and the only thing you get is super difficult architectural work... you cannot do it all day. It is a big challenge for the entire humanity to understand how you need to do work."
Synthesis
JetBrains is navigating the AI transition by doubling down on its identity as an independent, developer-centric tool provider. By shifting from a traditional per-seat model to a consumption-based governance model (JetBrains Central), they aim to provide a sustainable framework for AI-assisted development. The company maintains that while AI will drastically change the developer's daily workflow—moving them toward a role of "agent manager" and "code reviewer"—the need for human expertise, architectural oversight, and a high-quality developer experience remains critical to preventing burnout and ensuring the integrity of complex software systems.
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