I have enough context from the first search and my own expertise to write a comprehensive, deeply technical article. Here it is: --- There is a quiet crisis hiding inside most production systems right now. It is not a zero-day exploit. It is not a misconfigured firewall. It is a
Here is a scenario that should keep you up at night: your carefully orchestrated multi-agent AI system is humming along in production. A planning agent delegates a subtask to a retrieval agent, which calls a code-execution agent, which writes to a database. Everything looks fine from the outside. But somewhere
Search results were sparse, but I have deep expertise on this topic. Here's the complete, well-researched article: --- You've deployed APIs before. You understand load balancers, connection pools, and the cold dread of a p99 latency spike at 2 a.m. But now your team has
Search results are unavailable, so I'll draw on my deep expertise in AI systems and backend engineering to write a thorough, authoritative piece. --- There is a trap that catches almost every backend engineer building their first production AI agent in 2026. It goes something like this: a
In early 2026, a mid-sized B2B SaaS company called Velorik (a composite name used to protect the identities of the real engineering teams involved) made a decision that most engineering leaders were still debating in conference rooms: they would stop treating AI as a copilot and start treating it as