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✓ verifiedFreemium

Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.

👁 775K/mo
Gemini Code Assist
✓ verifiedFreemium

Google's AI coding assistant for code completion, generation, chat and review across IDEs and GitHub.

👁 559K/mo
Pixels2Flutter
✓ verifiedFree

Turns UI screenshots into working Flutter code.

12K
Qoder
Freemium
👁 2.7M/mo32K
GitFluence
✓ verifiedFree

Free AI helper that turns a plain-English description of a task into the matching Git command to copy and run.

Pricing

No public pricing

No public pricing

No public pricing

No public pricing

Free trial available

No public pricing

Core features
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • AI code completion and suggestions
  • Natural-language code generation
  • In-IDE chat assistance
  • AI code review
  • IDE integrations (VS Code, JetBrains, etc.)
  • GitHub integration
  • Enhanced Context Engineering for deep codebase analysis and adaptive memory
  • Intelligent Agents for autonomous planning, coding, and testing
  • Spec-Driven Development for clarifying requirements and automating execution
  • Intelligent Codebase Search and Advanced Repository Insight
  • Context-aware code completions and next-edit suggestions
  • Support for leading AI models (Claude, GPT, Gemini)
  • Natural-language to Git command suggestions
  • AI-driven command matching
  • Copy-ready command output
  • Git guides and reference
Use cases
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Speeding up coding with AI completions
  • Generating code from plain-language prompts
  • Getting in-editor help and explanations
  • Reviewing pull requests with AI
  • Understanding unfamiliar codebases
  • Delegating complex software development tasks to AI agents for autonomous completion.
  • Performing multi-file code edits and refactoring through natural language chat.
  • Gaining deep architectural understanding of a codebase to resolve issues with precision.
  • Generating unit tests, code explanations, and uncovering codebase architecture.
  • Systematically tackling software development tasks from planning to testing.
  • Find the correct Git command quickly
  • Learn Git syntax by describing a goal
  • Avoid memorizing Git flags
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