Dev Tools · 11h ago
Repository Harness Improves AI Agent Predictability Over Cost
A developer's second benchmark of a Repository Harness system for AI coding agents showed that while it didn't reduce token usage, it made agent behavior more predictable. The harness routes context based on task type, replacing monolithic instruction files. After 30 runs, the system produced consistent results, improving reliability over raw cost savings.
Meridian48 take
The shift from cost optimization to predictability highlights a maturing understanding of AI-assisted development, where reliability often trumps token savings.
Read the full reporting
Repository Harness, Part 2: 30 Runs Later, It Wasn’t Cheaper. It Was More Predictable. →
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ai-coding-agentsrepository-harness