AI is building the tools
that build AI.
Independent analysis of agent engineering, red team research, and evaluation practice. For practitioners who ship and secure AI systems.
Build agents that
plan, act, ship.
Deep-dive analysis of multi-agent architectures, tool routing, memory systems, and production deployment patterns for LLM-based pipelines.
Attack your AI
before they do.
Research-grade breakdowns of prompt injection, jailbreak techniques, supply chain risks, and adversarial hardening for AI products in the wild.
Measure capability.
Ship with confidence.
Beyond leaderboards — evaluation design, drift monitoring, release gates, and benchmark construction for teams that need to know if a model is actually ready.
From prototype to
production pipeline.
Architecture decisions, security boundaries, code review workflows, and testing strategies for AI coding assistants and autonomous software agents.
Learn by building.
Ship by understanding.
Step-by-step walkthroughs for building, evaluating, and securing AI systems. From first agent to production-grade deployment — with working, audited code.
The tools the
field actually uses.
Tracking and reviewing the open source frameworks, datasets, and infrastructure that practitioners use to build, evaluate, and secure AI systems in production.