How We Handle 50K OpenAI Requests/Minute Without Getting Rate Limited
Real infrastructure patterns for high-volume LLM applications: queue management, intelligent retries, request batching, and graceful degradation.
When AI misbehaves, how do you fix it? A practical framework for diagnosing and resolving issues in production LLM systems.

Real infrastructure patterns for high-volume LLM applications: queue management, intelligent retries, request batching, and graceful degradation.
Real examples of prompt injection attempts against our enterprise AI products, from naive attacks to sophisticated multi-step exploits.
How we implemented persistent, queryable memory for AI agents. Covers episodic memory, semantic memory, and the memory manager architecture.
π₯ Live Workshop: Use Claude Code to 10x Your Engineering Output
Sunday 16th Aug 2026 Β· 8:30 PM IST Β· 2 hours Β· βΉ1,499 Β· Full refund guarantee
2 hours of live coding. Build a real project. Walk away with a deployable app and a repeatable AI workflow.