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docs: update READMEs with shipped features
## Main README Updates ### Features Section - Add 8 guided workflow prompts - Add token cost visibility (🪙 <1% error) - Update GitHub integration (offline caching) - Show MCP example with token footer ### Status Section - Change from "In Progress" to "✅ Production Ready" - List completed features: - Core intelligence layer - 5 MCP adapters - Prompts system - Token cost visibility - 246 tests passing - Add "Available Now" feature list ### Examples - Add GitHub CLI commands (gh index, gh search) - Show MCP integration output with token footer - Highlight real-time cost tracking ## MCP Server README Updates ### Key Features - Add 8 guided workflow prompts - Add token cost visibility - Update test count (246 tests) - Show full MCP protocol support ### Available Tools Section (NEW) - Document all 5 adapters with descriptions - List 8 guided prompts - Show token cost examples (🪙 ~36 to ~462 tokens) ### Built-in Adapters - Change from "Coming Soon" to "✅ Production Ready" - Document all shipped adapters: - SearchAdapter - StatusAdapter - PlanAdapter - ExploreAdapter - GitHubAdapter ### Token Optimization - Add token footer examples - Document <1% estimation accuracy - Show compact vs verbose cost comparison - Add format selection strategy ### Testing - Update to 246 tests passing - Add specific test suite commands ## Impact These updates accurately reflect the mature state of dev-agent: - Users can see what's actually available (not "coming soon") - Token costs are visible and documented - Prompts system is highlighted as key differentiator - Examples show real usage patterns
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README.md

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@@ -30,8 +30,10 @@ Unlike generic code search tools or agent platforms, dev-agent specializes in **
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- 🎯 **Coordinator** - Orchestrates multi-agent workflows
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**Integration:**
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- 🔌 **MCP-native** - Works with Cursor, Claude Code, VS Code, or any MCP-compatible tool
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- 🐙 **GitHub-integrated** - Native issue, PR, and branch workflows via GitHub CLI
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- 🔌 **MCP-native** - Full protocol support with tools, prompts, and resources
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- 🎯 **8 Guided Prompts** - Workflow templates (analyze-issue, find-pattern, repo-overview, etc.)
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- 🪙 **Token Cost Visibility** - Real-time cost tracking with accurate estimation (<1% error)
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- 🐙 **GitHub-integrated** - Native issue/PR search with offline caching via GitHub CLI
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## Project Structure
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dev explore pattern "test coverage utilities" --limit 5
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dev explore similar path/to/file.ts
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# View statistics
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# GitHub integration
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dev gh index # Index issues and PRs
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dev gh search "authentication bug" # Search with semantic understanding
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# View statistics (now includes GitHub!)
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dev stats
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```
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✔ Found 3 result(s)
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```
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**MCP Integration (via Cursor/Claude):**
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```
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$ dev_search with query "token estimation"
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1. [71%] function: estimateTokensForText (packages/mcp-server/src/formatters/utils.ts:15)
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2. [31%] method: VerboseFormatter.estimateTokens (...)
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3. [31%] function: estimateTokensForJSON (...)
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🪙 ~109 tokens
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```
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Notice the 🪙 token footer - helps you track AI costs in real-time!
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**Tips for Better Results:**
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- **Use natural language**: "how do agents communicate" works better than "agent message"
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- **Adjust thresholds**: Default is 0.7 (precise), use 0.25-0.4 for exploration
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- **Exact matches score 70-90%**: Semantic matches score 25-60%
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### Current Status
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**In Progress:** Building core intelligence layer (scanner, vectors, indexer)
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See [ARCHITECTURE.md](./ARCHITECTURE.md) for technical decisions and implementation plan.
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**✅ Production Ready:**
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- Core intelligence layer (scanner, vectors, indexer) - Complete
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- MCP server with 5 adapters (search, status, plan, explore, GitHub) - Production ready
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- Prompts system with 8 guided workflows - Shipped
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- Token cost visibility and accurate estimation - Validated (<1% error)
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- 246 tests passing across all packages
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- CLI and MCP integrations - Fully functional
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**🚀 Available Now:**
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- Semantic code search with type-aware understanding
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- GitHub issue/PR indexing and search (works offline)
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- Implementation planning from GitHub issues
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- Code pattern exploration and relationship mapping
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- Repository health monitoring and statistics
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See [ARCHITECTURE.md](./ARCHITECTURE.md) for technical decisions and [packages/mcp-server/README.md](./packages/mcp-server/README.md) for MCP integration details.
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### Development
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packages/mcp-server/README.md

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@@ -8,9 +8,11 @@ The MCP server enables AI tools (Claude Desktop, Claude Code, Cursor, etc.) to a
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**Key Features:**
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- 🔌 Extensible adapter framework for custom tools
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- 🎯 8 Guided workflow prompts (analyze-issue, find-pattern, repo-overview, etc.)
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- 🪙 Token cost visibility with accurate estimation (<1% error)
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- 📡 Stdio transport for process communication
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- 🎯 JSON-RPC 2.0 protocol compliance
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- 🧪 Comprehensive test coverage (80+ tests)
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- ✅ Full MCP protocol support (tools, prompts, resources)
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- 🧪 Comprehensive test coverage (246 tests passing)
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- 📊 Built-in logging and error handling
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- 🚀 Zero-configuration quick start
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}
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```
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## Available Tools
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The MCP server provides 5 powerful adapters (tools) and 8 guided prompts:
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### Tools
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1. **`dev_search`** - Semantic code search across repository
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- Natural language queries
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- Type-aware results
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- Configurable relevance thresholds
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2. **`dev_status`** - Repository health and indexing status
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- Code index statistics
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- GitHub integration status
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- Health checks
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3. **`dev_plan`** - Generate implementation plans from GitHub issues
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- Fetch issue details
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- Find relevant code
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- Break down into tasks
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4. **`dev_explore`** - Code pattern discovery and relationships
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- Pattern search
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- Similar code detection
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- Dependency mapping
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5. **`dev_gh`** - GitHub issue and PR search
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- Semantic search with filters
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- Full context retrieval
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- Offline operation with cache
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### Prompts (Guided Workflows)
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1. **`analyze-issue`** - Full issue analysis with implementation plan
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2. **`find-pattern`** - Search codebase for specific patterns
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3. **`repo-overview`** - Comprehensive repository health dashboard
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4. **`find-similar`** - Find code similar to a file
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5. **`search-github`** - Search issues/PRs by topic
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6. **`explore-relationships`** - Analyze file dependencies
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7. **`create-plan`** - Generate detailed task breakdown
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8. **`quick-search`** - Fast semantic code search
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All tools include **token cost footers** (🪙) for real-time cost tracking!
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## Usage Examples
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### Basic Setup
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## Testing
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**Status:** ✅ 246 tests passing
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### Run Tests
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```bash
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# Run all tests
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pnpm test
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# Run all MCP server tests
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pnpm test packages/mcp-server
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# Run specific test suite
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pnpm test packages/mcp-server/src/formatters
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pnpm test packages/mcp-server/src/adapters
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# Run with coverage
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pnpm test:coverage
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## Built-in Adapters
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### Coming Soon
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### ✅ Production Ready
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- **SearchAdapter** - Semantic code search (Issue #28)
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- **GitHubAdapter** - GitHub context and metadata (Issue #29)
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- **ExplorerAdapter** - Code exploration and analysis (Issue #30)
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All adapters are fully tested and production-ready:
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- **SearchAdapter** (`dev_search`) - Semantic code search with type-aware understanding
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- Natural language queries
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- Compact and verbose formats
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- Token cost display: 🪙 ~109 tokens (compact)
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- **StatusAdapter** (`dev_status`) - Repository health and statistics
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- Code index status
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- GitHub integration status
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- Health checks and storage metrics
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- **PlanAdapter** (`dev_plan`) - Implementation planning from GitHub issues
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- Issue fetching and analysis
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- Semantic code search for relevant files
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- Task breakdown with complexity estimates
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- **ExploreAdapter** (`dev_explore`) - Code pattern discovery
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- Pattern search across codebase
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- Similar code detection
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- Relationship mapping
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- **GitHubAdapter** (`dev_gh`) - GitHub issue and PR management
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- Semantic search with filters
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- Full context retrieval
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- Works offline with cached data
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- Token cost display: 🪙 ~36 tokens (compact) to ~462 tokens (verbose)
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## Configuration
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### Token Optimization
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- Keep tool descriptions concise (< 200 chars)
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- Use enums for known values
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- Limit response size (compress, summarize, paginate)
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All tools now include **automatic token footers** (🪙) for cost visibility:
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```
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## GitHub Search Results
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...results here...
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🪙 ~36 tokens
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```
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**Token Estimation:**
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- Accuracy: <1% error (calibrated against actual usage)
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- Formula: 4.5 chars/token for technical content
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- Validated: 178 actual vs 179 estimated tokens
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**Format Strategy:**
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- **Compact**: ~30-150 tokens (summaries, lists)
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- **Verbose**: ~150-500 tokens (full details, metadata)
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- Choose based on your token budget!
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**Best Practices:**
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- Use compact format for exploration
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- Use verbose only when you need full context
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- Monitor token footers to optimize costs
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- Implement result formatters (compact vs. verbose)
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## Troubleshooting

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