AI Agents Need Backend Engineers
A scaffold for explaining why production agents depend on permissions, state, retries, observability, and integration with real systems.
Essays and working notes on AI systems that survive contact with production.
A scaffold for explaining why production agents depend on permissions, state, retries, observability, and integration with real systems.
A scaffold for notes on the gap between promising prototypes and AI systems that hold up under real users, policies, failures, and operational pressure.
A scaffold for how internal automations can evolve into safer, auditable platforms for agentic work.
A scaffolded notebook on skills, habits, and systems for engineers moving from traditional software into AI-native work.
A scaffold for applying fintech lessons about traceability, risk controls, and reliability to healthcare AI.
A scaffold for treating evals as part of the engineering contract rather than as a research artifact.