A developing body of engineering work for the agentic era.
Concrete arguments about how large engineering organizations turn agent capability into a dependable engineering system: architecture, validation, governance, measurement, and organizational leverage.
These are working arguments grounded in production engineering, not product announcements. The through-line is simple: autonomy becomes useful when it is designed with evidence, constraints, and feedback.
Technical themes
The systems that make autonomy dependable
Enterprise AI architecture
The platform boundaries that make agents operable across an organization: control planes, runtimes, model access, and observability.
The Agent Control Plane
Autonomous AI agents are becoming a new production substrate. The hard enterprise problem is not just building smarter agents; it is operating them with identity, observability, policy enforcement, cost attribution, runtime isolation, evals, and kill switches.
Agent ArchitectureAgent Observability Belongs at the Gateway
Client-side logs are not enough for enterprise AI agents. The model gateway is the best choke point for observing model calls, tool intent, cost, risk, and agent behavior.
Agent ArchitectureWhy Secure Agent Execution Becomes Foundational Infrastructure
As AI agents move from demos to production, the sandbox underneath them becomes one of the most important pieces of infrastructure we build. Isolation, capability boundaries, and auditability stop being features and start being the substrate.
Reliability, evaluation & governance
How agent behavior earns authority through measurable outcomes, bounded risk, and practical control mechanisms.
AI Cost Control Is an Engineering Discipline
AI spend will not be controlled by asking engineers to use models less. It needs engineering systems: attribution, model routing, prompt caching, context management, budgets, evals, and outcome-based measurement.
Agent ArchitectureKill Switches for Autonomous AI Agents
Autonomous agents need targeted kill switches. Revoking global credentials or shutting down the whole platform is too blunt for enterprise-scale agent operations.
Agent ArchitectureAgent Memory Needs Benchmarks, Not Vibes
Memory systems should prove measurable lift over baseline: higher success rates, lower cost, faster convergence, and no unacceptable safety regressions.