The closest alternatives to JetBrains AI Assistant on Lister are GitHub Copilot, Cursor and Tabnine, the companies that share the most rankings with it. Each is compared below on its stated best fit, starting price and Lister Score.
How to choose an alternative to JetBrains AI Assistant
Start from what you need it for. Where each fits best, as Lister records it:
- GitHub Copilot: General purpose test scaffolding across many languages
- Cursor: Full codebase indexing and contextual explanation
- Tabnine: Privacy-conscious development teams
- Amazon CodeWhisperer: Developers building heavily on AWS infrastructure
- Claude (Anthropic): Architects, researchers, and developers tackling complex algorithmic problems
- Google Gemini Code Assist: Google Cloud users and teams working with Python, Java, or Go in enterprise environments
- Claude Code: Terminal-first developers needing sophisticated agentic workflows
- Codeium: Budget-conscious teams needing multi-language support
- Phind: Software developers and programmers
- Cody: Teams with large, complex codebases
Closest to JetBrains AI Assistant by the rankings they share: GitHub Copilot (2 rankings), Cursor (2 rankings) and Tabnine (2 rankings).
Free to start, by their stated pricing: Amazon CodeWhisperer, Codeium, Phind and Cody.
Stated starting prices: GitHub Copilot (10 USD per month), Cursor (20 USD per month), Tabnine (12 USD per user per month), Claude (Anthropic) ($5/month), Google Gemini Code Assist ($19/month) and Claude Code (£15/month).
Each Lister Score is the alternative's score on the ranking named in its row, so compare scores within one ranking rather than across rankings. How the score is made.
Each alternative in brief
01
#1 in Top 10 AI Code-Generation Tools: GitHub Copilot uses OpenAI's Codex model to provide context-aware code completions, refactoring suggestions, and test generation directly within VS Code, JetBrains IDEs, Vim, and Neovim. It learns from your codebase and coding style to deliver highly accurate suggestions for any programming language.
PROS- Supports almost all programming languages
- Seamless integration with popular editors
CONS- Requires manual prompt refinement for complex logic
95.0
02
The AI-first Code Editor
#2 in Top 10 AI Coding Assistants: Cursor is a standalone AI-native IDE built on VS Code architecture, featuring advanced multi-file editing, intelligent refactoring, and context-aware completions. Designed to accelerate entire workflows rather than just individual lines.
PROS- Incredible codebase-wide search
- Familiar VS Code interface
CONS- Requires using a separate code editor fork
92.5
03
#4 in Top 10 AI Code-Generation Tools: Tabnine uses deep learning to predict and suggest whole-line and full-function code completions across all major IDEs. It offers both cloud and local (private) models, making it ideal for organisations with strict data governance requirements. Supports 30+ languages and integrates with enterprise security policies.
PROS- Strong privacy and security guarantees
- Low latency code completions
CONS- Test generation depth trails behind specialized tools
88.0
04
#5 in Top 10 AI Code-Generation Tools: CodeWhisperer is AWS's AI code companion integrated into VS Code, JetBrains IDEs, and AWS Lambda console. It generates code suggestions, detects security vulnerabilities in real time, and offers built-in reference tracking for license compliance. Particularly strong for AWS architecture patterns and Python.
PROS- Free tier for individual users
- Strong integration with AWS services
CONS- Focused primarily on AWS-centric development patterns
85.7
05
Constitutional AI for nuanced, reasoning-first code generation
#2 in Top 10 AI Code-Generation Tools: Claude is a large language model optimised for long-context reasoning and complex coding tasks. Available via API, web interface, and IDE plugins, it excels at generating complete solutions, architectural advice, and refactoring logic-heavy applications with clear, readable output.
PROS- Superior reasoning and explanation of code logic; excellent at security and edge-case analysis
- Large context window allows analysis of entire modules or projects in one prompt
CONS- Slower response times compared to smaller models
- Less real-time IDE integration compared to Copilot
92.7
06
Native code generation for Google Cloud developers
#3 in Top 10 AI Code-Generation Tools: Gemini Code Assist integrates with VS Code, JetBrains IDEs, and Google Cloud's Duet AI, delivering real-time code suggestions powered by Google's Gemini foundation models. It offers strong support for Python, Java, Go, and Kotlin with first-class integration for Google Cloud APIs.
PROS- Native integration with Google Cloud services and APIs; excellent for cloud-native development
- Competitive pricing for enterprise teams; strong documentation generation
CONS- Smaller ecosystem compared to Copilot; less mature community plugins
- Stronger on Google tech stack; less effective for non-cloud platforms
90.3
07
Terminal-first agentic coding for developers who live in the command line.
#3 in Top 10 AI Coding Assistants: Claude Code is a CLI-first coding agent from Anthropic designed for developers comfortable with terminal workflows. Handles complex tasks like dependency updates, route conversions, and middleware migrations autonomously.
PROS- Exceptional reasoning capability for complex refactoring tasks
- Pure CLI interface appeals to terminal-native developers
CONS- Limited to terminal environment, no visual IDE integration
- Steeper learning curve compared to simple code completion tools
90.0
08
#7 in Top 10 AI Code-Generation Tools: Codeium is a lightweight, fast code completion tool available for VS Code, JetBrains, Vim, Neovim, and web editors. It offers single-line and full-function completions with a generous free tier and enterprise options. Strong support for TypeScript, Python, Java, and modern web frameworks.
PROS- Generous free tier
- Supports over seventy programming languages
CONS- Advanced enterprise features require paid tiers
81.0
09
The AI search engine for developers
#8 in Top 10 AI Code-Generation Tools: Phind combines code search with AI generation, allowing developers to find relevant code snippets and ask follow-up questions in context. Available as a web platform and IDE plugins, it uses GPT-4 and search to provide solutions with source references and explanations.
PROS- Excellent technical documentation search
- Fast code generation
CONS- Not ideal for general knowledge queries
78.7
10
Codebase-aware AI assistant optimised for large and complex projects.
#8 in Top 10 AI Coding Assistants: Sourcegraph's Cody excels at understanding and navigating large, complex codebases, offering intelligent navigation, debugging, and refactoring across entire projects with contextual awareness.
PROS- Exceptional codebase navigation and context awareness for large projects
- Free tier provides substantial functionality for open-source and small teams
CONS- Niche focus on large codebases limits appeal to solo developers
- Less feature-rich for simple, single-file tasks compared to alternatives
77.5