AI-powered plugin for JetBrains IDEs that enhances development workflow with intelligent code completion, next edit suggestions, AI chat with project context, and coding assistance inside JetBrains IDEs.
AI-powered plugin for JetBrains IDEs that enhances development workflow with intelligent code completion, next edit suggestions, AI chat with project context, and coding assistance inside JetBrains IDEs.
JetBrains AI Assistant is an AI Coding Tools IDE plugin that adds code completion, next edit suggestions, project-aware AI chat, agent mode, and response application directly inside JetBrains IDEs, with pricing starting at free through the AI Free tier. It is best for developers and teams already using IntelliJ IDEA, PyCharm, WebStorm, GoLand, Rider, CLion, PhpStorm, RubyMine, DataGrip, DataSpell, Aqua, or related JetBrains IDEs.
JetBrains AI Assistant is not bundled or enabled in IntelliJ IDEA by default; JetBrains states that users must install the plugin, acquire a JetBrains AI Service license, and explicitly consent to JetBrains AI Terms of Service and Acceptable Use Policy before the assistant becomes active or has access to code. The IntelliJ IDEA 2026.1 Help page lists key capabilities including code completion for single lines and entire code blocks, next edit suggestions for likely follow-up changes, AI Chat with supported language models, agent mode for tasks such as fixes, refactoring, and test generation, context management for files, folders, images, symbols, commits, and other items, and response processing that can apply snippets, modify one or more files, or run terminal commands from AI Chat. The documentation page was updated on 06 October 2025, and it explicitly mentions cloud-based LLM choices from Google Gemini, OpenAI, and Anthropic, plus support for custom local third-party models for selected AI Assistant features.
Pricing is quota-based rather than purely unlimited. Current JetBrains AI plan information in the supplied tool data lists AI Free at $0 with 3 AI Credits per 30 days, AI Pro for individuals at $10 USD per 30 days with 10 AI Credits, AI Ultimate for individuals at $30 USD per 30 days with 35 AI Credits, AI Pro for organizations at $20 USD per seat per 30 days with 20 AI Credits, AI Ultimate for organizations at $60 USD per seat per 30 days with 70 AI Credits, and AI Enterprise at $60 USD with quota described as on par with AI Ultimate or higher. JetBrains also states that 1 AI Credit equals $1 USD charged in local currency, that top-up credits are valid for 12 months, and that quota renews every 30 days.
Compared to the other AI coding tools in our directory, JetBrains AI Assistant is most differentiated by native JetBrains IDE integration rather than broad editor coverage. GitHub Copilot is stronger for mixed-editor organizations because it supports VS Code, JetBrains IDEs, Neovim, and other environments, while Cursor is better for teams willing to move into an AI-first standalone editor. Based on our analysis of 870+ AI tools, JetBrains AI Assistant is a stronger fit when the development workflow depends on JetBrains inspections, navigation, refactoring tools, project structure, and language-specific IDE behavior, but it is less suitable for teams standardized on VS Code, terminal-first editors, or a standalone AI coding environment.
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JetBrains documentation identifies Mellum as a proprietary JetBrains large language model optimized for code completion. AI Assistant code completion can autocomplete single lines, blocks of code, and entire functions, and JetBrains documents completion support in code, commented lines, AI Chat input, and commit messages.
JetBrains describes Junie as an AI coding agent developed by JetBrains for autonomously planning and executing complex multi-step actions. In Code mode, Junie can create or edit files, run tests, execute terminal commands, use external tools, report progress, and ask for approval depending on configuration.
Next edit suggestions help predict likely follow-up edits in the current workflow, allowing developers to move through related code changes more quickly when the suggestion is relevant.
JetBrains documentation says AI Assistant can add files, folders, images, symbols, commits, or other items as context so AI Chat and related workflows are better aligned with the code, project state, and development task being discussed.
JetBrains supported-model documentation states that AI Assistant uses a variety of models through the JetBrains AI service and also supports BYOK access to supported third-party providers plus locally hosted models. Activation documentation describes JetBrains AI subscription, API key, provider OAuth, and ACP-compatible agent options.
JetBrains documentation states that AI Assistant can interact with external tools and data sources through Model Context Protocol servers using STDIO, Streamable HTTP, and legacy SSE transports. It also states that JetBrains IDEs include an integrated MCP server starting with version 2025.2 for external clients such as Claude Desktop, Cursor, Codex, VS Code, and others.
$0 with 3 AI Credits per 30 days
$10 USD per 30 days with 10 AI Credits
$30 USD per 30 days with 35 AI Credits
$20 USD per seat per 30 days with 20 AI Credits
$60 USD per seat per 30 days with 70 AI Credits
$60 USD with quota described as on par with AI Ultimate or higher
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The supplied JetBrains documentation is for IntelliJ IDEA 2026.1 Help and was updated on 06 October 2025. It highlights AI Assistant capabilities including next edit suggestions, AI Chat with agent mode, response processing, cloud-based LLM support across providers such as Google Gemini, OpenAI, and Anthropic, and use of custom local third-party models.
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