AI Agent / LLM Application Developer
I contribute to open-source projects around agent runtimes, streaming, reliability, MCP, and LLM tooling.
- ⚙️ Agent Runtime — lifecycle, cancellation, timeouts, retries, and resource cleanup
- 🔬 Reliability — race conditions, streaming correctness, and failure recovery
- 🔗 LLM Tooling — MCP, tool calling, structured output, and provider integration
- 📚 RAG & Evidence — retrieval quality, provenance, and citation traceability
Automatically updated daily · 7 merged · 3 in review
| Project | Contribution | PR |
|---|---|---|
| Tencent-Hunyuan/Hy-Memory | fix(memhub): fail model probe reservations when execution never dispatches | #329 |
| modelcontextprotocol/typescript-sdk | Updated eventsource-parser for large SSE responses |
#2846 |
| helsome/folio | Removed a provider timeout abort-listener leak | #186 |
| helsome/folio | Prevented uncooperative capabilities from bypassing execution timeouts | #183 |
| assistant-ui/assistant-ui | Fixed duplicate assistant-cloud instances by reusing the host ai peer |
#8071 |
| Tencent/BrowserSkill | Scoped doctor skill status to the bundled CLI version |
#329 |
| helsome/folio | Enforced wall-clock run budgets while an agent event stream is silent | #85 |
| Project | Contribution | PR |
|---|---|---|
| QwenLM/qwen-code | fix(web-shell): keep at-mention subtitles in their grid track | #15592 |
| QwenLM/qwen-code | fix(core): match sed text semantics in unicode mode | #15694 |
| TencentCloud/octop-harness | Avoided cross-context session-header resets in streamed agents | #10 |
- Agent Runtime and lifecycle reliability
- Streaming and cancellation correctness
- MCP and LLM tool integration
- Timeout, retry, and resource-leak prevention
- TypeScript, Node.js, React, and Python