AI Engineering

Claude Code + GitHub Actions CI Self-Healing Pipeline: Error Attribution, Minimal Patches, and Human Approval Gates

If your CI keeps failing and engineers keep babysitting logs, you’re paying an invisible velocity tax. A production-grade AI self-healing pipeline is not “let the agent edit anything”. It’s a controlled loop: attribution, patching, approval, rollback. This post gives you a deployable baseline: Claude Code proposes a minimal fix patch, GitHub Actions enforces risk gates and regression checks, and humans only approve at high-impact checkpoints. ...

Claude API Rate-Limit Storm Playbook: Adaptive Concurrency, Jittered Backoff, and Quota Isolation

When Claude API starts returning 429 under high load, most systems don’t just slow down—they collapse: queue buildup, retry storms, upstream timeout chains, and pager noise. ...

Claude API 高并发限流雪崩应对：自适应并发、退避抖动与配额隔离

当 Claude API 在高并发下开始返回 429，很多系统不是“慢一点”，而是直接雪崩：队列堆积、重试风暴、上游超时、下游告警连锁。 ...

OpenAI Responses Streaming in Production: Backpressure, Chunk Reassembly, and Timeout Budget

Most streaming failures are not about “can it stream”, but “does it stay stable under load”: broken chunks, stuck clients, timeout cascades, and retry storms. ...

OpenAI Responses 流式输出生产稳态：背压控制、分片重组与超时预算闭环

线上最容易把流式输出做坏的，不是“能不能流出来”，而是流量一上来就抖：token 断片、客户端卡死、超时雪崩、重试风暴。 ...

Claude + OpenAI Model Routing Gateway: Latency Tiers, Cost Caps, and Quality Guardrails

Connecting both Claude and OpenAI in production is the easy part. The hard part is keeping the system stable across the quality-latency-cost triangle. Without a routing gateway, you usually get latency spikes, runaway bills, and ugly cascading failures. ...

Claude + OpenAI 模型路由网关实战：延迟分层、成本阈值与质量守门

你把 Claude 和 OpenAI 一起接进生产环境后，真正的难题不是“能不能调通”，而是怎么在质量、延迟、成本三角里稳定跑。如果没有路由网关，最常见结果就是：高峰期延迟抖动、账单失控、异常时全站雪崩。 ...

OpenAI Responses + Go Stream Recovery: Delta Persistence, Resume Tokens, and Duplicate Chunk Dedup

In production, the painful part is not “streaming is slow.” It’s “streaming breaks and then duplicates output after reconnect.” This guide gives you a practical recovery loop: delta persistence + resume token + idempotent dedup, so reconnection does not replay garbage. ...

OpenAI Responses in Go Multi-Tenant Quota Governance: Token Buckets, Budget Circuit Breakers, and Cost Attribution

Most multi-tenant AI platforms fail for two boring reasons: one tenant saturates shared capacity, and finance discovers the burn too late. This guide gives you a practical Go blueprint: token-bucket throttling, budget circuit breakers, and request-level cost attribution. ...

OpenAI Responses 在 Go 多租户中的配额治理：令牌桶限流、预算熔断与账单归因

多租户 AI 服务最容易死在两件事：一个租户打爆全局配额，以及月底账单炸了才发现。这篇给你一套可直接落地的 Go 方案：令牌桶限流 + 预算熔断 + 账单归因，目标是“先活下来，再精细化”。 ...