Beyond Prompting: How `/goal` Changes Autonomous AI Coding Loops
A practical framework for writing verifiable completion contracts for Codex, Claude Code, and long-running autonomous agent workflows.
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Why Your AI Agent Fails: It's Not the Model, It's the Harness
· 13 min read
Most AI agents fail not because the model is wrong, but because the infrastructure around it is missing. This is a beginner-to-expert guide on what an agent harness is, how it works, and why it is the most overlooked layer in AI systems.
Read article →From Agent Harness to Self-Improving AI Systems
· 16 min read
A solid harness makes your agent reliable at launch. A self-improving system keeps it reliable over time. This is the engineering discipline that separates production AI from drifting AI — failure mining, eval generation, regression gating, and the feedback loop architecture that ties it all together.
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