nvim-stride
AI-Powered Next-Edit Suggestions for Neovim
nvim-stride is a Neovim plugin that brings intelligent next-edit prediction directly into your workflow. It analyzes recent code changes and predicts where you’ll edit next—rename a variable on line 10, and stride suggests updating line 50. This eliminates tedious manual search-and-replace while maintaining full developer control.
The Problem
During refactoring sessions, developers make related changes across multiple locations. Traditional find-and-replace is blunt and risky, while manually tracking every related edit is tedious and error-prone. nvim-stride bridges this gap by intelligently predicting related edits based on coding patterns, suggesting changes only where they’re contextually relevant.
Key Features
Intelligent Refactor Mode
Stride’s refactor mode understands the intent behind edits:
- Next-edit prediction based on recent changes
- Automatic triggering on
InsertLeaveand normal mode edits - Remote suggestions with strikethrough highlighting for replaced text
- Insert detection for new parameters, properties, or arguments
- Incremental change tracking via
nvim_buf_attach - Simple dismissal with
Escor:StrideClear
Ghost Text Completion Mode
Complementary inline completions for faster coding:
- Real-time ghost text suggestions as you type
- Treesitter-aware context capture for accurate completions
- Multi-line suggestion support
- Tab-to-accept workflow integration
Developer-Centric UX
Seamless integration with existing workflows:
- Configurable debounce timing (300ms default)
- Customizable keybindings for accept and dismiss
- Gutter icon indicator when suggestions are active
- Global enable/disable commands (
:StrideEnable,:StrideDisable) - Automatic race condition handling for concurrent edits
- Optional fidget.nvim integration for non-intrusive notifications
Technical Implementation
nvim-stride leverages several technologies for intelligent prediction:
- Lua core for Neovim integration and real-time event handling
nvim_buf_attachwithon_bytescallback for incremental edit tracking- Treesitter integration for semantic context awareness
- Cerebras API for ultra-low latency inference
- Token budget management for efficient prompt construction
- Smart context extraction with configurable line limits
Architecture Highlights
What makes stride’s prediction engine different:
- Incremental Tracking - Real-time edit capture without blocking the editor
- Smart Context - Treesitter-powered context expansion for accurate predictions
- Token Budgeting - Automatic history trimming to stay within model limits
- Dual Mode Design - Completion and refactor modes can run simultaneously
- Race Protection - Stale responses discarded if cursor has moved
- Remote Rendering - Preview changes inline without applying them
User Workflow
Completion Mode
- Type - Start coding in insert mode
- Pause - After 300ms, ghost text suggestion appears
- Accept - Press
Tabto accept the suggestion - Continue - Any other key dismisses and resumes typing
Refactor Mode
- Edit - Make a change (e.g., rename a variable)
- Exit - Leave insert mode to trigger prediction
- Review - Related edits shown with strikethrough and replacement preview
- Apply - Press
Tabto accept orEscto dismiss
Configuration & Integration
Customization Options
Stride offers extensive customization:
- API endpoint and model selection
- Debounce timing and context window size
- Mode selection (completion, refactor, or both)
- Filetype exclusions for specific workflows
- Custom highlight groups for visual consistency
- Token budget and change history limits
- Gutter sign customization or disabling
Tool Integration
Works alongside existing tools:
- blink.cmp - Smart Tab key handling with priority checking
- fidget.nvim - Auto-detected non-intrusive notifications
- nvim-treesitter - Optional semantic context enhancement
- plenary.nvim - Reliable async operations
Development & Roadmap
Current Status
nvim-stride is under active development:
- Early release with stable core features
- Support for Neovim 0.10+
- Comprehensive documentation and examples
- Open to feedback and bug reports
Future Enhancements
Planned improvements include:
- LSP integration for diagnostics and symbol awareness
- Enhanced Treesitter integration for scope-aware predictions
- Multi-file context awareness for project-wide refactoring
- Custom prompt templates for specialized workflows
- Prediction caching for improved performance
- Additional LLM provider support
Why nvim-stride?
What sets stride apart from traditional refactoring tools:
- Context-Aware - Understands coding patterns, not just text matching
- Non-Intrusive - Suggestions appear only when relevant
- Ultra-Fast - Powered by Cerebras for minimal latency
- Full Control - Review before applying, dismiss anytime
- Dual Mode - Completion and refactoring in one plugin
- Open Source - MIT licensed with transparent implementation