The Real Performance Improvement Rate of AI Training Chips
Analyze the actual performance improvement rate of training chips and GPUs vs marketing hype. Here is the data on real compute scaling for training and inference.
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.
Building automated Evals: LLM-as-a-Judge for Plan Adherence
A hands-on tutorial using Google ADK and TypeScript to score agent workflows with custom eval rubrics.
The Architecture of Generative UI: Declarative vs Open-Ended
When to return structured JSON cards vs streaming raw html to the frontend.
· Rajat Pandit · AI EngineeringBuilding an Autonomy Dial: Safely Shipped Agentic Architecture
You don't jump blindly from full 'Human-in-the-Loop' safety to completely autonomous API execution. You engineer a dial—and you turn it up one notch at a time.
The Battle for Memory: PagedAttention vs RingAttention on Kubernetes
Comparing raw memory management strategies for infinite-context enterprise agents.
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.