GitHub Actions + AI Agent 自动修复流水线：失败分级、回归测试与安全闸门
线上 CI 一旦连续红灯，团队最怕的不是“修得慢”，而是“修坏更多”。 这篇给你一套可落地的 GitHub Actions + AI Agent 自动修复流水线：先做失败分级，再限制 AI 修改范围，最后用回归与安全闸门兜底。 ...
AI Engineering
OpenAI Agents SDK with Go: Tool Calling, Session Memory, and Error Recovery
Most teams can connect an LLM in a demo. The real pain starts in production: multi-step tasks, flaky tool calls, unclear retries, and rising cost. This guide gives you a pragmatic Go-first blueprint for shipping an Agent workflow that can survive real incidents. ...
OpenAI Responses API Streaming in Go: Timeouts, Retries, and Observability
Production streaming fails in two predictable ways: users wait while the stream silently drops, and your logs say “timeout” without telling you where it actually broke. This guide gives you a practical Go pattern for OpenAI Responses API streaming with strict timeout boundaries, safe retries, and useful telemetry. ...
Claude Code + Codex for Multi-Model Development: Cost, Speed, and Quality (Practical Workflow)
If you still use one model for everything, you usually pay in one of three ways: higher cost, slower delivery, or more rework. A better setup is role-based collaboration: Claude Code for planning and quality gates, Codex for fast implementation and batch edits. ...