Which of the 9 IDEA AI Plugins Is Your Ideal Coding Partner?

GitHub Copilot

Core features

Real‑time multi‑line code completion

Sidebar chat for refactoring, test generation, and bug explanation

Switchable models (Claude 3.7, GPT‑4.1, Gemini 2.5 Pro)

Workspace mode for cross‑file editing and feature planning

Vision: drag UI designs to generate corresponding code

Pricing

Free tier: 2,000 completions/month, 50 premium requests

Pro: $10 / month, unlimited completions, 300 premium requests

Pro+: $39 / month, 1,500 premium requests, all models

Enterprise: $19‑39 / user / month, private knowledge base

Pros & Cons

Pros: many models, full feature set, strong open‑source ecosystem, largest global user base

Cons: average experience on Chinese networks, relatively expensive, weaker Chinese language understanding

Lingma (通义灵码)

Core features

Integrates Qwen‑Coder and DeepSeek‑V3 for near‑zero latency completion

Quest mode: task decomposition, multi‑file modification, command execution, bug fixing

NEXT completion predicts next code block and auto‑imports dependencies

@database: generate SQL from natural language

Supports MCP protocol for external tool APIs

Multi‑file collaborative refactoring across packages/modules

AI Rules: enforce team coding standards

Pricing

Personal: completely free (quota sufficient for daily use)

Pros & Cons

Pros: excellent Chinese understanding, optimized for Java/Go, free, seamless Alibaba Cloud integration

Cons: IDEA plugin UI slightly inferior to its standalone IDE, occasional hallucinations with obscure libraries

Comate (文心快码)

Core features

Multi‑agent architecture: Architect, Plan, Zulu

SPEC‑driven development: document → task → modify → preview, with user confirmation before generation

Figma2Code: convert design drafts to front‑end code

Full‑project code index handling millions of lines

Supports private deployment and hybrid cloud

Pricing

Free tier: basic functionality

Professional & Enterprise: contact sales

Pros & Cons

Pros: high‑quality C++ generation, strong enterprise‑level architecture planning, high code adoption rate

Cons: fewer free credits compared with other domestic plugins, better suited for enterprises

Codeium

Core features

High cost‑performance; unlimited free personal tier

Cascade agent for multi‑file, multi‑step tasks

Integrates with Jira and Notion for issue creation

Supports multiple models (Claude 3.5, GPT‑4o, etc.)

Context API indexes the entire local repository

Pricing

Personal Free: unlimited completion and chat

Pro: $10‑15 / month

Enterprise: custom pricing

Suitable users

Individual developers, students, startup teams

Tabnine

Core features

Privacy‑focused; supports local models and fully offline operation

Self‑contained agent handles module‑level unit‑test generation, API updates, etc.

Code provenance and license tagging to avoid legal risk

Optimized JetBrains PSI for deeper Java/Kotlin understanding

Supports VPC private‑cloud deployment

Pricing

Pro: $12‑15 / month

Enterprise: $39‑59 / user / month

Suitable users

Industries with strict security requirements (finance, healthcare, etc.)

Amazon Q Developer

Core features

Real‑time completion for 15+ languages

Agent commands: /dev (full feature implementation), /transform (code upgrade, e.g., Java 8 → Java 17), /review (security scan), /test (test generation), /doc (doc generation)

AWS resource visualization (e.g., "how many S3 buckets?")

CloudFormation integration for infrastructure deployment

Console‑to‑code: convert console actions into CDK/Terraform code

Supports MCP protocol for external tools and knowledge bases

Pricing

Free tier: unlimited completion, 50 agent requests/month

Pro: $19 / month, 1,000+ agent requests

Pros & Cons

Pros: best choice for AWS users, direct cloud resource management, useful code‑upgrade feature

Cons: limited advantage for non‑AWS projects

CodeGeeX

Core features

Ultra‑fast completion (~0.3 s response)

Comment‑to‑code: generate code from Chinese comments

Full‑project context understanding for intelligent Q&A

Code review & refactor: detect logic bugs, performance issues, security risks

One‑click JUnit/TestNG test generation

100+ language translation

Built‑in code interpreter for data analysis and chart generation

Pricing

Completely free

Pros & Cons

Pros: free, strong Chinese understanding, fast response, supports private deployment

Cons: occasional lag in supporting the latest IDEA version, occasional hallucinations with obscure libraries

Supermaven

Core features

1 M token context window for large projects

Very low latency (~250 ms)

Adaptive coding style learning

Chat integration with GPT‑4o and Claude 3.5

Status

Development halted; existing users can continue using

Potential incompatibility with the latest IDEA versions

Official recommendation to migrate to Cursor IDE

JetBrains AI Assistant

Core features

Junie autonomous agent for multi‑file refactoring and full test‑suite generation

Multi‑model support (Claude 3.7, GPT‑4.1, Gemini 2.5, etc.)

Local model support via Ollama/LM Studio (Llama, Mistral)

Multimodal input: paste screenshots/Figma designs to generate code

Deep project context: dependency graph, version history, architecture patterns

Terminal intelligence: natural‑language to shell/Gradle/Maven commands

Smart documentation & commit message generation

Pricing

AI Free: free, 3 AI credits/month

AI Pro: $10 / month (10 credits) – free with All Products Pack

AI Ultimate: $30 / month (35 credits)

AI Enterprise: custom pricing

Pros & Cons

Pros: native IDEA integration, best experience, supports local models, zero data retention

Cons: credit system adds complexity compared with other plugins

Comparison Summary

Chinese understanding ranking: Lingma > Comate > CodeGeeX > GitHub Copilot > others

Cost‑performance ranking: CodeGeeX/Lingma > Codeium > JetBrains AI > others

Feature richness ranking: GitHub Copilot > JetBrains AI > Lingma > Comate > others

Selection Guidance

Free tier priority: Lingma or CodeGeeX (both completely free; Lingma if using Alibaba Cloud)

Java/Spring Boot development: primary choice Lingma; secondary JetBrains AI Assistant

AWS‑centric projects: Amazon Q Developer (direct cloud resource management and code‑upgrade)

High‑security industries (finance, healthcare): Tabnine (local execution, no code leakage)

JetBrains All‑Products Pack users: JetBrains AI Assistant (free with the pack)

Maximum feature set and model variety: GitHub Copilot (richest capabilities, higher price)

Large enterprises needing team collaboration: Comate or GitHub Copilot Enterprise (both support private deployment and team management)