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Building Agent Harnesses for Production AI Coding Agents

Deploying AI coding agents into production requires moving beyond simple prompt engineering toward rigorous harness engineering. Unlike deterministic software, autonomous agents exhibit emergent behaviors that demand specialized testing environments.

AI Coding Agents in Production: Solving Context and Reliability Challenges

Moving AI coding agents from demo to production requires moving beyond benchmark scores. Learn how to manage context windows and design evaluation loops for real-world codebases.

Architecting AI Coding Agents for Production Reliability

Moving AI coding agents from prototype to production requires shifting from research-based experimentation to rigorous software delivery practices. State management, guardrails, and observability to handle real-world input variability.

Architecting Terminal-Native AI Coding Agents for Production Stability

Terminal-native coding agents require compound architectures to manage context and reasoning. Learn how to implement specialized model routing and adaptive memory systems.