feat: Complete Phase 1 - AI Coding Assistant Integrations (v2.10.0)

Add comprehensive integration guides for 4 AI coding assistants: ## New Integration Guides (98KB total) - docs/integrations/WINDSURF.md (20KB) - Windsurf IDE with .windsurfrules - docs/integrations/CLINE.md (25KB) - Cline VS Code extension with MCP - docs/integrations/CONTINUE_DEV.md (28KB) - Continue.dev for any IDE - docs/integrations/INTEGRATIONS.md (25KB) - Comprehensive hub with decision tree ## Working Examples (3 directories, 11 files) - examples/windsurf-fastapi-context/ - FastAPI + Windsurf automation - examples/cline-django-assistant/ - Django + Cline with MCP server - examples/continue-dev-universal/ - HTTP context server for all IDEs ## README.md Updates - Updated tagline: Universal preprocessor for 10+ AI systems - Expanded Supported Integrations table (7 → 10 platforms) - Added 'AI Coding Assistant Integrations' section (60+ lines) - Cross-links to all new guides and examples ## Impact - Week 2 of ACTION_PLAN.md: 4/4 tasks complete (100%) ✅ - Total new documentation: ~3,000 lines - Total new code: ~1,000 lines (automation scripts, servers) - Integration coverage: LangChain, LlamaIndex, Pinecone, Cursor, Windsurf, Cline, Continue.dev, Claude, Gemini, ChatGPT ## Key Features - All guides follow proven 11-section pattern from CURSOR.md - Real-world examples with automation scripts - Multi-IDE consistency (Continue.dev works in VS Code, JetBrains, Vim) - MCP integration for dynamic documentation access - Complete troubleshooting sections with solutions Positions Skill Seekers as universal preprocessor for ANY AI system. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-07 20:46:26 +03:00
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+# Windsurf + FastAPI Context Example
+
+Complete example showing how to use Skill Seekers to generate Windsurf rules for FastAPI development.
+
+## What This Example Does
+
+- ✅ Generates FastAPI documentation skill
+- ✅ Creates modular .windsurfrules for Windsurf IDE
+- ✅ Shows Cascade AI-powered FastAPI code generation
+- ✅ Handles character limits with split rules
+
+## Quick Start
+
+### 1. Generate FastAPI Skill
+
+```bash
+# Install Skill Seekers
+pip install skill-seekers
+
+# Generate FastAPI documentation skill
+skill-seekers scrape --config configs/fastapi.json
+
+# Package for Windsurf with split rules (respects 6K char limit)
+skill-seekers package output/fastapi --target markdown --split-rules
+```
+
+### 2. Copy to Windsurf Project
+
+```bash
+# Create rules directory
+mkdir -p my-fastapi-project/.windsurf/rules
+
+# Copy all rule files
+cp -r output/fastapi-markdown/rules/* my-fastapi-project/.windsurf/rules/
+
+# Or use the automation script
+python generate_windsurfrules.py --project my-fastapi-project
+```
+
+### 3. Test in Windsurf
+
+```bash
+# Open project in Windsurf
+windsurf my-fastapi-project/
+
+# Start Cascade (Cmd+L or Ctrl+L)
+# Try these prompts:
+# - "Create a FastAPI endpoint with async database queries"
+# - "Add Pydantic models with validation for user registration"
+# - "Implement JWT authentication with dependencies"
+```
+
+## Expected Results
+
+### Before (Without Rules)
+
+**Prompt:** "Create a FastAPI user endpoint with database"
+
+**Cascade Output:**
+```python
+from fastapi import FastAPI
+
+app = FastAPI()
+
+@app.get("/users")
+def get_users():
+    # Generic sync code
+    users = db.query(User).all()
+    return users
+```
+
+❌ Uses sync code (not async)
+❌ No dependency injection
+❌ Returns ORM instances (not Pydantic)
+
+### After (With Rules)
+
+**Prompt:** "Create a FastAPI user endpoint with database"
+
+**Cascade Output:**
+```python
+from fastapi import APIRouter, Depends
+from sqlalchemy.ext.asyncio import AsyncSession
+from app.database import get_db
+from app.schemas import UserResponse
+
+router = APIRouter(prefix="/api/v1")
+
+@router.get("/users", response_model=list[UserResponse])
+async def get_users(
+    skip: int = 0,
+    limit: int = 100,
+    db: AsyncSession = Depends(get_db)
+):
+    """Get all users with pagination."""
+    result = await db.execute(
+        select(User).offset(skip).limit(limit)
+    )
+    users = result.scalars().all()
+    return [UserResponse.model_validate(user) for user in users]
+```
+
+✅ Async/await pattern
+✅ Dependency injection
+✅ Pydantic response models
+✅ Proper pagination
+✅ OpenAPI documentation
+
+## Files in This Example
+
+- `generate_windsurfrules.py` - Automation script for generating rules
+- `requirements.txt` - Python dependencies
+- `example-project/` - Minimal FastAPI project structure
+  - `app/main.py` - FastAPI application
+  - `app/models.py` - SQLAlchemy models
+  - `app/schemas.py` - Pydantic schemas
+  - `app/database.py` - Database connection
+
+## Rule Files Generated
+
+After running the script, you'll have:
+
+```
+my-fastapi-project/.windsurf/rules/
+├── fastapi-core.md           (5,200 chars, Always On)
+├── fastapi-database.md       (5,800 chars, Always On)
+├── fastapi-authentication.md (4,900 chars, Model Decision)
+├── fastapi-testing.md        (4,100 chars, Manual)
+└── fastapi-best-practices.md (3,500 chars, Always On)
+```
+
+## Rule Activation Modes
+
+| File | Activation | When Used |
+|------|-----------|-----------|
+| `fastapi-core.md` | Always On | Every request - core patterns |
+| `fastapi-database.md` | Always On | Database-related code |
+| `fastapi-authentication.md` | Model Decision | When Cascade detects auth needs |
+| `fastapi-testing.md` | Manual | Only when @mentioned for testing |
+| `fastapi-best-practices.md` | Always On | Code quality, error handling |
+
+## Customization
+
+### Add Project-Specific Patterns
+
+Create `project-conventions.md`:
+
+```markdown
+---
+name: "Project Conventions"
+activation: "always-on"
+priority: "highest"
+---
+
+# Project-Specific Patterns
+
+## Database Sessions
+
+ALWAYS use this pattern:
+
+\```python
+async with get_session() as db:
+    result = await db.execute(query)
+\```
+
+## API Versioning
+
+All endpoints MUST use `/api/v1` prefix:
+
+\```python
+router = APIRouter(prefix="/api/v1")
+\```
+```
+
+### Adjust Character Limits
+
+```bash
+# Generate smaller rule files (5K chars each)
+skill-seekers package output/fastapi --target markdown --split-rules --max-chars 5000
+
+# Generate larger rule files (5.5K chars each)
+skill-seekers package output/fastapi --target markdown --split-rules --max-chars 5500
+```
+
+## Troubleshooting
+
+### Issue: Rules not loading
+
+**Solution 1:** Verify directory structure
+```bash
+# Must be exactly:
+my-project/.windsurf/rules/*.md
+
+# Check:
+ls -la my-project/.windsurf/rules/
+```
+
+**Solution 2:** Reload Windsurf
+```
+Cmd+Shift+P → "Reload Window"
+```
+
+### Issue: Character limit exceeded
+
+**Solution:** Re-generate with smaller max-chars
+```bash
+skill-seekers package output/fastapi --target markdown --split-rules --max-chars 4500
+```
+
+### Issue: Cascade not using rules
+
+**Solution:** Check activation mode in frontmatter
+```markdown
+---
+activation: "always-on"  # Not "model-decision"
+priority: "high"
+---
+```
+
+## Advanced Usage
+
+### Combine with MCP Server
+
+```bash
+# Install Skill Seekers MCP server
+pip install skill-seekers[mcp]
+
+# Configure in Windsurf's mcp_config.json
+{
+  "mcpServers": {
+    "skill-seekers": {
+      "command": "python",
+      "args": ["-m", "skill_seekers.mcp.server_fastmcp", "--transport", "stdio"]
+    }
+  }
+}
+```
+
+Now Cascade can query documentation dynamically via MCP tools.
+
+### Multi-Framework Project
+
+```bash
+# Generate backend rules (FastAPI)
+skill-seekers package output/fastapi --target markdown --split-rules
+
+# Generate frontend rules (React)
+skill-seekers package output/react --target markdown --split-rules
+
+# Organize rules:
+.windsurf/rules/
+├── backend/
+│   ├── fastapi-core.md
+│   └── fastapi-database.md
+└── frontend/
+    ├── react-hooks.md
+    └── react-components.md
+```
+
+## Related Examples
+
+- [Cursor Example](../cursor-react-skill/) - Similar IDE, different format
+- [Cline Example](../cline-django-assistant/) - VS Code extension with MCP
+- [Continue.dev Example](../continue-dev-universal/) - IDE-agnostic
+- [LangChain RAG Example](../langchain-rag-pipeline/) - Build RAG systems
+
+## Next Steps
+
+1. Customize rules for your project patterns
+2. Add team-specific conventions
+3. Integrate with MCP for live documentation
+4. Build RAG pipeline with `--target langchain`
+5. Share your rules at [Windsurf Rules Directory](https://windsurf.com/editor/directory)
+
+## Support
+
+- **Skill Seekers Issues:** [GitHub](https://github.com/yusufkaraaslan/Skill_Seekers/issues)
+- **Windsurf Docs:** [docs.windsurf.com](https://docs.windsurf.com/)
+- **Integration Guide:** [WINDSURF.md](../../docs/integrations/WINDSURF.md)