Once you've built the core agent, here are paths to explore:
Skip OpenRouter and connect directly to the source:
| Provider | Why Consider It |
|---|---|
| Anthropic API | Direct Claude access, prompt caching, lower latency |
| Google AI Studio | Gemini models, generous free tier, multimodal capabilities |
| OpenAI API | GPT models, extensive ecosystem, fine-tuning options |
Trade-off: Direct connections mean managing multiple API keys and SDKs, but you get provider-specific features and potentially lower costs.
| Approach | What to Explore |
|---|---|
| Vector databases | Pinecone, Chroma, or pgvector for semantic search over past conversations |
| RAG patterns | Retrieve relevant context before generating responses |
| Long-term memory | Remember user preferences and project context across sessions |
| Episodic memory | "Remember when we fixed that bug last week?" |
| Strategy | When to Use |
|---|---|
| Model routing | Cheap models for simple tasks, expensive ones for complex reasoning |
| Cascade patterns | Try fast model first, fall back to powerful model if confidence is low |
| Ensemble approaches | Multiple models vote on critical decisions |
| Specialized models | Code models for code, general models for planning |
| Technique | What It Provides |
|---|---|
| Docker isolation | Run tools in containers that can't touch your real filesystem |
| Permission systems | Require approval for dangerous operations |
| Capability tokens | Limit what each session can access |
| Audit logging | Track every action for security review |
| Feature | Implementation Ideas |
|---|---|
| Streaming responses | Show partial output as it generates |
| Progress indicators | "Searching 47 files..." feedback |
| Human-in-the-loop | Approval workflows for destructive changes |
| Undo/rollback | Git-based recovery from mistakes |
| Voice interface | Speech-to-text input, text-to-speech output |
| Pattern | What to Research |
|---|---|
| MCP Integration | Connect to the Model Context Protocol ecosystem |
| Team agents | Multiple agents collaborating with different roles |
| Planning agents | Separate planning from execution |
| Self-improvement | Agents that update their own prompts and skills based on feedback |
| Evaluation loops | Automated testing of agent behavior |
All 11 operations completed
Weekend Coding Agent
DOC. NO: WCA-2025
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