@GoKiteAI

@GoKiteAI
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Failure Budgets as the Currency of Agentic Reliability
How Kite is Redefining Autonomous Work
In traditional software engineering, reliability is often treated as a binary: something either works or it doesn’t. System administrators design fail-safes, SRE teams draft SLAs, and businesses hope for uptime. But in the emerging world of autonomous agents and decentralized markets, this black-and-white approach doesn’t scale. Kite, a platform for agent-driven workflows, is changing that by introducing failure budgets as a negotiable economic instrument—turning reliability into something agents can quantify, trade, and optimize.
From SRE to Agent Economics
If you’ve spent time in reliability engineering, you know the concept of a failure budget: it’s the tolerance for error built into a system. A 99.9% uptime target implicitly allows for about 43 minutes of downtime per month. In human-run systems, failure budgets are a tool for decision-making—they let engineers balance innovation against stability. Too aggressive a rollout could breach the budget, while overly conservative measures slow progress.