Static Tests Are Dead: Simulation-Based Red Teaming for AI Agents
How to use an "Adversary" agent to stress-test your autonomous systems before they reach production.
From the Front Lines of Tech
Sharing strategic insights and lessons from over 20 years of building scalable systems, leading high-performing teams, and navigating complex technology shifts.
· Rajat Pandit · Agentic AIThe Supervisor vs. Swarm Debate: Routing in Multi-Agent Systems
An organic, decentralized mesh of democratic agents reads brilliantly in an academic paper. But in enterprise production, democratic agents lead to infinite loops and massive API bills.
· Rajat Pandit · AI InfrastructureKV Cache Offloading in K8s: The Stateless Truce
Your beloved stateless Kubernetes architecture is fundamentally at war with the massive, stateful memory requirements of long-context LLM inference. We need a truce.
· StrategyBeyond MMLU: The Shift to "Tool Correctness" Metrics
Why standard LLM benchmarks fail for agents, and how to measure real tool usage in production.
· Rajat Pandit · AI InfrastructurevLLM Continuous Batching & PagedAttention: Maximizing Throughput
vLLM continuous batching combined with PagedAttention dramatically increases inference throughput. Learn how this architecture eliminates KV cache fragmentation and boosts GPU utilization by 3x.
Deploying Agentic AI as a Service (AaaS)
Deep dive into deploying agentic ai as a service (aaas).