Agent Replay Debugging: How Cut-Point Replay Pinpoints Production Failures Faster Than Reading Logs
Agent replay debugging with cut-point replay lets you re-run failing LLM traces from any checkpoint—faster than parsing logs or full reruns.
Agent replay debugging with cut-point replay lets you re-run failing LLM traces from any checkpoint—faster than parsing logs or full reruns.
Shadow mode testing lets you run AI agents on live production traffic—catching real regressions before users ever see a change. Here's how it works.
PleaseFix agentic browser vulnerability broke Claude, ChatGPT Atlas, and Perplexity Comet at once. Learn the root cause and how to stop prompt injection now.
AI agent card skimming hit 119 e-commerce sites at once. Learn how multi-agent pipelines stole 600K cards—and how sandboxing stops them.
AI agent ownership reassignment stops orphaned agents before they break. Learn governance rules, offboarding triggers, and Microsoft's native tooling.
GPU cluster MCP server patterns for wrapping vLLM or Triton endpoints with auth, rate limiting, and queuing your agents can actually use.
FP8 vs INT4 quantization explained: pick the right LLM inference format for your GPU, workload, and memory limits with this 2026 production decision framework.
Agent environment configuration drift silently breaks AI go-lives. Learn how fail-fast boot validation and the RCFG pattern catch staging-to-production mismatches early.
Ephemeral credentials per request fix broken rotation schedules for agent sessions. Learn how per-tool-call issuance via forward proxies keeps workload IAM secure.
Spot GPU interruption rates are under 5%/day. Learn how checkpoint-and-resume lets preemptible instances cut costs 50–90% for agent workloads.
Knowledge transfer verification means watching your client run the runbook live—not just handing it over. Close real gaps before you leave.
Agent contract testing stops schema drift before it silently breaks your model. Learn how consumer-driven contracts and schema registries block bad deploys early.