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JetBrains
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Code Generation & Assistants (176)

JetBrains Verified Tool

JetBrains AI integrates code completion, chat, agentic development, refactoring support, documentation, and supported third-party agents into JetBrains IDEs. Developers should review diffs and commands, protect secrets, use content exclusions, run tests and scans, and monitor credits.

Last Update: August 20, 2026

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Starting price Free + from $100/user/year

Tool Information

JetBrains AI integrates code completion, chat, agentic development, refactoring support, documentation, and supported third-party agents into JetBrains IDEs. Developers should review diffs and commands, protect secrets, use content exclusions, run tests and scans, and monitor credits.

Begin with a small, reversible test using only authorized and necessary inputs. Configure privacy, access, quality, export, disclosure, and spending controls; compare results with original sources and representative examples; correct errors; and keep a responsible person in control before publishing, applying for work, deploying code, contacting people, or making consequential decisions.

AI Free includes three credits per 30 days. AI Pro costs $100 per user per year, AI Ultimate $300, and AI Enterprise $720; a 30-day Pro trial is available.

AI output and automated actions can be inaccurate, biased, incomplete, unsafe, stale, or misleading, while services may process confidential, copyrighted, personal, employment, voice, financial, or regulated information. Check consent, retention, model-training, licenses, anti-spam and platform rules, renewal terms, accessibility, and security, and use qualified human review for high-impact work.

F.A.Q (3)

JetBrains AI integrates code completion, chat, agentic development, refactoring support, documentation, and supported third-party agents into JetBrains IDEs. Developers should review diffs and commands, protect secrets, use content exclusions, run tests and scans, and monitor credits.

Begin with a small, reversible test using only authorized and necessary inputs. Configure privacy, access, quality, export, disclosure, and spending controls; compare results with original sources and representative examples; correct errors; and keep a responsible person in control before publishing, applying for work, deploying code, contacting people, or making consequential decisions.

Verified pricing: Free + from $100/user/year. AI Free includes three credits per 30 days. AI Pro costs $100 per user per year, AI Ultimate $300, and AI Enterprise $720; a 30-day Pro trial is available.

Pros and Cons

Pros

  • JetBrains provides mature IDEs for many programming languages and technology stacks
  • AI Assistant is integrated directly into supported JetBrains editors
  • AI chat can use codebase context without constant manual copying
  • In-editor generation can create or modify code near the relevant files
  • The assistant can generate documentation and tests
  • Code completion reduces repetitive typing
  • Commit-message generation summarizes staged changes
  • Users can choose models from several cloud providers
  • Supported third-party options include Anthropic; Google; OpenAI; and compatible endpoints
  • Ollama and LM Studio enable locally hosted model use
  • Organizations can centrally manage allowed AI providers
  • Local models can be assigned separately to core and lightweight features
  • Context-window controls let users balance available context against hardware use
  • AI Free provides a small recurring allowance for eligible users
  • AI Pro and AI Ultimate offer higher monthly credit quotas
  • JetBrains publishes detailed documentation about data handling and provider configuration

Cons

  • Cloud AI features send prompts; code fragments; and contextual project details to an LLM provider
  • Different providers apply different retention; security; and billing rules
  • Generated code can contain bugs; insecure patterns; or nonexistent APIs
  • AI suggestions may reproduce code with licensing or attribution concerns
  • Monthly subscription credits expire at renewal
  • The credit abstraction can make the cost of a particular request hard to predict
  • Some features are unavailable when a selected third-party or local model lacks required capability
  • Local inference requires sufficient memory; storage; and compute
  • AI Assistant integration may still have licensing constraints even when inference runs locally
  • Context trimming can omit the file or requirement that changes the correct answer
  • Enterprise administrators can restrict provider choices and personal API keys
  • Detailed prompt and code-data sharing is opt-in but must be checked on every managed installation
  • AI completion can encourage accepting code without understanding it
  • Refactors and generated tests require full build; review; and security validation
  • Rapid documentation and model changes can make plan comparisons stale
  • Sensitive repositories need an approved provider; minimal context; secrets scanning; and human review

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