The Fallback Is the Contract: Reliability Patterns for...
Every LLM-backed agent in this platform has a deterministic rule-based fallback. The case always finalises. The fallback isn't a workaround — it's the contract.
Site Reliability Engineering (SRE) applies software engineering principles to operations, ensuring services meet their reliability targets through automation and disciplined incident response. Posts here cover LLM reliability patterns with error budgets, production observability, chaos engineering for multi-agent systems, and the SRE practices that keep distributed systems running at their service-level objectives.
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Every LLM-backed agent in this platform has a deterministic rule-based fallback. The case always finalises. The fallback isn't a workaround — it's the contract.
Test coverage and observability are the boring infrastructure that makes the interesting changes safe. Notes on how the Picnic team built both, and the on-call experience they enabled.
Twelve months of running multi-agent AI in a regulated context. SLIs that matter, the incident runbook, drift detection, continuous adversarial testing, secret rotation, compliance posture as code.
All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.