Cleric is building an AI that actually understands your production outages

Cleric, co-founded by William Pienaar, addresses the challenges of incident diagnosis in engineering with an AI Site Reliability Engineer (SRE) designed to handle the initial stages of diagnosing system issues. The development of Cleric was motivated by the increasing cognitive load faced by engineers as systems grow in complexity, contrasted with the sublinear improvements in AI capabilities, which offer larger context windows and faster reasoning. Cleric's AI excels at tasks involving semantic data such as logs and traces but struggles with interpreting raw metrics, requiring visual rendering and human intervention to correct the AI's tendency to jump to conclusions. The company has found that human-AI collaboration within the first five minutes of investigation yields better results than prolonged autonomous operation, as this approach allows engineers to provide real-time course corrections. Cleric's use of sub-agents helps manage context overload, and their system accumulates tribal knowledge to improve future incident responses. The firm advocates for a nuanced approach to AI autonomy, suggesting that while AI can handle straightforward tasks independently, complex problems still require human oversight. The increasing acceptance of AI agents in the software development lifecycle marks a shift from skepticism to integration, with Cleric aiming to expand its AI capabilities beyond incident diagnosis to alleviate the operational burdens on engineering teams.