GitOps for Multi-Agent Workflows
Deep dive into gitops for multi-agent workflows.
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.
Speculative Decoding Infrastructure: Squeezing Latency without Hardware Upgrades
The bottleneck for LLMs is memory bandwidth, not compute. Discover how to use speculative decoding on GCP to achieve 3x speedups by using small "draft" models to accelerate massive "oracle" models.
ADK vs. LangChain: The Protocol-First Shift
Class-based chains are a legacy pattern. Discover why Google ADK and its open Agent Protocol are the future of interoperable, production-grade multi-agent systems.
HBM-Aware Load Balancing with libtpu and GKE
CPU load is a trailing indicator for AI inference. Discover how to use libtpu metrics and the GKE Gateway API to build high-density, memory-aware traffic routing for TPUs.
Beyond Vibe-Checks: Trajectory Evaluation & Synthetic Adversaries
Is your agent actually reasoning, or just lucky? Discover why trajectory analysis and synthetic red-teaming are the only ways to build production-grade autonomous systems.
· StrategyThe Valuation of Open Weights: The Intelligence Supply Chain
Open source models are transforming AI from a variable SaaS cost into a strategic capital asset. Discover why owning the weights is the key to Sovereign AI and a 70% reduction in long-term TCO.