How We Reduced LLM Latency from 8s to 800ms Without Losing Quality
A deep dive into the systematic approach we used to cut response times by 90% in production, with specific techniques, benchmarks, and the trade-offs we navigated.
Streaming, WebSockets, and sub-second responses. Architectures for building AI applications that feel instant and responsive.

A deep dive into the systematic approach we used to cut response times by 90% in production, with specific techniques, benchmarks, and the trade-offs we navigated.
Design patterns for AI-powered interfaces that users love. Covers feedback loops, error handling, trust signals, and managing expectations.
When AI misbehaves, how do you fix it? A practical framework for diagnosing and resolving issues in production LLM systems.
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.