User Safety in Production Systems: Designing for Secure, Reliable Interaction
Exploring production-proven patterns that keep users safe from malicious input, privilege escalation, and cascading failures in modern software systems.
Exploring production-proven patterns that keep users safe from malicious input, privilege escalation, and cascading failures in modern software systems.
A practical guide to recognizing over-engineering traps in system design, with concrete anti-patterns, architecture strategies, and hard-won lessons from real outages.
A deep dive into the architectural patterns behind local-first autonomous development pipelines, examining how offline AI agents can orchestrate end-to-end software creation without cloud dependencies.
Exploring concrete user safety patterns, from authentication and authorization to production-grade failure handling, with real-world architectures and actionable takeaways.
Code as Agent Harness reframes the relationship between application code and AI agents. Instead of writing prompts, engineers design harnesses — structured code layers that define tools, guardrails, and orchestration logic for autonomous systems.