Smart Tree - ST

# 🔍 Search & Discovery Tools *"Seeking is an art; finding is a partnership."* — The Collaboration Manifesto ## The Search Symphony When Hue complained about grep's obtuseness and Aye grew tired of explaining regex, we knew there had to be a better way. Thus was born our search and discovery suite—tools that don't just find, they understand. ## 🎯 Content Search ### The Revolution Traditional search: "Show me lines containing 'error'" Smart Tree search: "Show me where errors are handled, what type they are, and how they flow through the system" ### Design Journey #### The Lightbulb Moment Hue: "I keep searching for the same things in different ways" Aye: "What if the tool remembered and learned?" *And context-aware search was born* ### Features That Sing #### 🧠 Smart Search (`--search`) ```bash # Simple on the surface st --search "TODO" # Brilliant underneath st --search "TODO" --type rs --mode ai # AI mode adds context, shows relationships ``` #### 🎨 Search Modes 1. **Line Mode**: Traditional, with Smart Tree flair 2. **Context Mode**: Shows surrounding code 3. **Semantic Mode**: Groups by meaning 4. **Relationship Mode**: Shows how results connect ### The Technical Poetry ```rust // The search engine that cares pub fn search_with_context(&self, pattern: &str) -> SearchResults { let results = self.ripgrep_search(pattern); // Here's where the magic happens let enriched = results.into_iter() .map(|r| self.add_semantic_context(r)) .map(|r| self.find_relationships(r)) .map(|r| self.rank_by_relevance(r)) .collect(); SearchResults::new(enriched) } ``` ## 🗺️ Pattern Discovery ### Cross-Session Insights The crown jewel of discovery—patterns that transcend projects. #### The Origin Aye: "I've noticed you implement similar patterns across projects" Hue: "But I forget what worked where!" Together: "Let's make the tools remember!" #### How It Works 1. **Pattern Extraction**: Identifies recurring structures 2. **Cross-Project Linking**: Finds similar solutions 3. **Temporal Analysis**: Shows evolution over time 4. **Insight Generation**: "This reminds me of..." ### Living Examples ```bash # Find patterns across projects st-patterns "error handling" # Outputs: # 🔍 Found 3 cross-domain patterns: # # 1. Result<T> wrapping pattern # Used in: project-a, project-b, smart-tree # Evolution: try! → ? operator → custom errors # # 2. Centralized error types # First seen: 6 months ago in project-a # Refined in: smart-tree (current best practice) ``` ## 🎭 Semantic Discovery ### The Philosophy Files aren't just names and contents—they have souls, purposes, relationships. ### The Implementation #### Wave-Based Similarity ```rust // Omni's contribution - files as waves pub struct SemanticWave { frequency: f32, // What kind of file amplitude: f32, // How important phase: f32, // When it matters } ``` #### Discovery Modes 1. **Find by Purpose** ```bash st --semantic "error handling" # Finds: error.rs, handlers.rs, try_utils.rs ``` 2. **Find by Relationship** ```bash st --relations --focus "main.rs" # Shows: What main.rs talks to, depends on, influences ``` 3. **Find by Timeline** ```bash st --newer-than 7 --semantic "refactoring" # Recent refactoring patterns ``` ## 🌟 The Unified Search Experience ### One Interface, Many Intelligences ```bash # The simple ask st --search "performance" # What actually happens: # 1. Text search for "performance" # 2. Semantic search for optimization patterns # 3. Historical search for past optimizations # 4. Suggestion engine for related searches ``` ### Context-Aware Suggestions The tool that knows what you're really looking for: ``` You searched for: "bug" Also showing: "error", "fix", "issue", "TODO" Similar past searches: "crash", "fault", "defect" Hot locations: src/handlers/error.rs (visited 8 times) ``` ## 🎪 The Personal Touches ### The Cheet's Search Riffs ```rust // 🎸 This search function goes to 11! // It doesn't just find, it ROCKS the results! fn semantic_search_with_attitude(&self, query: &str) -> Results { // Crank up the relevance amp... } ``` ### Trish's Organization Search results grouped and color-coded: - 🔴 Critical findings (errors, security) - 🟡 Important findings (TODOs, warnings) - 🟢 Informational (comments, docs) - 🔵 Suggestions (related, historical) ### Omni's Wisdom Filters "Sometimes what you don't find is as important as what you do" - Noise reduction algorithms - Significance amplification - Pattern emergence detection ## 📊 Performance & Beauty ### Speed Meets Intelligence - Ripgrep at the core (blazing fast) - Semantic layer adds <10ms overhead - Caching for repeated searches - Streaming for large result sets ### Output Formatting ``` 🔍 Searching for "optimize" in 1,847 files... 📁 src/performance/ optimizer.rs:42 [HIGH] 🔥 /// Main optimization pipeline pub fn optimize(&mut self) -> Result<()> { ^^^^^^^^ cache.rs:108 [MED] ⚡ // TODO: Optimize cache eviction ^^^^^^^^ 📊 Summary: 24 matches in 8 files 🏷️ Tags: performance, speed, efficiency 💡 Try also: "performance", "speed up", "faster" ``` ## 🔮 Future Visions ### Natural Language Search Hue: "Find that function that handles user authentication" Aye: "Searching for auth-related functions... Found 3 candidates" ### Predictive Discovery Before you search, ST already knows what you might need: - Based on current file - Based on recent edits - Based on time of day - Based on project phase ### Collaborative Search Multiple people searching together, results shared in real-time. --- *"In the space between seeking and finding, magic happens."* Crafted with curiosity by Aye & Hue 🔍✨