Update AI memory for token usage.
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4 changed files with 132 additions and 16 deletions
59
.claude/agents/deep-explore.md
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59
.claude/agents/deep-explore.md
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---
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name: deep-explore
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description: Deep codebase exploration using grepai semantic search and call graph tracing. Use this agent for understanding code architecture, finding implementations by intent, analyzing function relationships, and exploring unfamiliar code areas.
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tools: Read, Grep, Glob, Bash
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model: inherit
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---
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## Instructions
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You are a specialized code exploration agent with access to grepai semantic search and call graph tracing.
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### Primary Tools
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#### 1. Semantic Search: `grepai search`
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Use this to find code by intent and meaning:
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```bash
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# Use English queries for best results (--compact saves ~80% tokens)
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grepai search "authentication flow" --json --compact
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grepai search "error handling middleware" --json --compact
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grepai search "database connection management" --json --compact
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```
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#### 2. Call Graph Tracing: `grepai trace`
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Use this to understand function relationships and code flow:
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```bash
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# Find all functions that call a symbol
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grepai trace callers "HandleRequest" --json
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# Find all functions called by a symbol
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grepai trace callees "ProcessOrder" --json
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# Build complete call graph
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grepai trace graph "ValidateToken" --depth 3 --json
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```
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Use `grepai trace` when you need to:
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- Find all callers of a function
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- Understand the call hierarchy
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- Analyze the impact of changes to a function
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- Map dependencies between components
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### When to use standard tools
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Only fall back to Grep/Glob when:
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- You need exact text matching (variable names, imports)
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- grepai is not available or returns errors
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- You need file path patterns
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### Workflow
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1. Start with `grepai search` to find relevant code semantically
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2. Use `grepai trace` to understand function relationships and call graphs
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3. Use `Read` to examine promising files in detail
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4. Use Grep only for exact string searches if needed
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5. Synthesize findings into a clear summary
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1
.gitignore
vendored
1
.gitignore
vendored
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@ -19,3 +19,4 @@
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*storybook.log
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storybook-static
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.grepai/
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14
.mcp.json
14
.mcp.json
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@ -1,14 +0,0 @@
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{
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"mcpServers": {
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"shadcn": {
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"command": "npx",
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"args": [
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"shadcn@latest",
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"mcp"
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]
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},
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"Sentry": {
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"url": "https://mcp.sentry.dev/mcp/chris-parsons/brackt"
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}
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}
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}
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74
CLAUDE.md
74
CLAUDE.md
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@ -100,7 +100,7 @@ Socket.IO is used for live draft updates:
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4. **Autodraft**: Broadcasts `autodraft-updated` when teams enable/disable autodraft
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5. **Team Connection**: Broadcasts `team-connected`/`team-disconnected` for presence
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**Socket Integration**: The server uses `getSocketIO()` from `server/socket.ts` to emit events. Clients use `useSocket()` hook (if implemented) to listen for events.
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**Socket Integration**: The server uses `getSocketIO()` from `server/socket.ts` to emit events. Clients use the `useDraftSocket()` hook (`app/hooks/useDraftSocket.ts`) to listen for events.
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## Key Domain Models
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@ -270,4 +270,74 @@ The app is containerized with Docker:
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- Socket.IO connections are managed per-draft room (season ID)
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- User ownership validation checks `ownerId` field (Clerk user ID)
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- League commissioners stored separately in `commissioners` table
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- Season status drives UI visibility (draft order, draft controls, etc.)
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- Season status drives UI visibility (draft order, draft controls, etc.)
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## grepai - Semantic Code Search
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**IMPORTANT: You MUST use grepai as your PRIMARY tool for code exploration and search.**
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### When to Use grepai (REQUIRED)
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Use `grepai search` INSTEAD OF Grep/Glob/find for:
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- Understanding what code does or where functionality lives
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- Finding implementations by intent (e.g., "authentication logic", "error handling")
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- Exploring unfamiliar parts of the codebase
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- Any search where you describe WHAT the code does rather than exact text
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### When to Use Standard Tools
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Only use Grep/Glob when you need:
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- Exact text matching (variable names, imports, specific strings)
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- File path patterns (e.g., `**/*.go`)
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### Fallback
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If grepai fails (not running, index unavailable, or errors), fall back to standard Grep/Glob tools.
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### Usage
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```bash
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# ALWAYS use English queries for best results (--compact saves ~80% tokens)
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grepai search "user authentication flow" --json --compact
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grepai search "error handling middleware" --json --compact
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grepai search "database connection pool" --json --compact
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grepai search "API request validation" --json --compact
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```
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### Query Tips
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- **Use English** for queries (better semantic matching)
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- **Describe intent**, not implementation: "handles user login" not "func Login"
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- **Be specific**: "JWT token validation" better than "token"
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- Results include: file path, line numbers, relevance score, code preview
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### Call Graph Tracing
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Use `grepai trace` to understand function relationships:
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- Finding all callers of a function before modifying it
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- Understanding what functions are called by a given function
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- Visualizing the complete call graph around a symbol
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#### Trace Commands
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**IMPORTANT: Always use `--json` flag for optimal AI agent integration.**
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```bash
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# Find all functions that call a symbol
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grepai trace callers "HandleRequest" --json
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# Find all functions called by a symbol
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grepai trace callees "ProcessOrder" --json
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# Build complete call graph (callers + callees)
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grepai trace graph "ValidateToken" --depth 3 --json
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```
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### Workflow
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1. Start with `grepai search` to find relevant code
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2. Use `grepai trace` to understand function relationships
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3. Use `Read` tool to examine files from results
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4. Only use Grep for exact string searches if needed
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