Deterministic Evaluation Harnesses & Guardrail Engineering for Production Agent Swarms
How we design automated eval harnesses that test agent tool calls, state persistence, and output accuracy in mission-critical environments.
Sathus AI 2.0 is now generally available — evaluation harnesses and guardrails included. Explore
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Sathus Technology publishes peer-reviewed engineering whitepapers, reference architectures, and benchmark reports for enterprise AI, data platforms, and cloud modernization.
How we design automated eval harnesses that test agent tool calls, state persistence, and output accuracy in mission-critical environments.
Detailed memory consumption benchmarks, latency profile comparisons, and cost trade-offs of self-hosted enterprise model deployment.
Implementing mutual TLS, ephemeral service tokens, and continuous vulnerability scanning for enterprise SaaS platforms.
How we design automated eval harnesses that test agent tool calls, state persistence, and output accuracy in mission-critical environments.
Detailed memory consumption benchmarks, latency profile comparisons, and cost trade-offs of self-hosted enterprise model deployment.
Patterns for context isolation, sub-task delegation, and emergency manual overrides in autonomous multi-agent swarms.
Why dense vector search alone fails in complex enterprise data structures, and how GraphRAG bridges structural relationship gaps.
Building an enterprise MCP proxy with fine-grained access control, rate limiting, and audit logging for agent-to-tool communication.
How we achieved sub-minute data freshness for transactional banking tables while guaranteeing exactly-once processing semantics.
Step-by-step case breakdown of migrating legacy Teradata and Oracle databases to Apache Iceberg and Delta Lake without service interruption.
Implementing the transactional outbox pattern to eliminate dual-write hazards across microservices.
Deep-dive into async I/O bottlenecks, uvloop event loop tuning, and Pydantic v2 Rust core serialization benchmarks.
Managing cloud infrastructure as Kubernetes custom resources using Crossplane and ArgoCD for zero-drift deployments.
Practical routing tactics using API gateways and feature flags to incrementally replace legacy monolith boundaries.
Structuring clean Python and TypeScript monorepos to guarantee testability, maintainability, and domain boundary enforcement.
Automating compliance checks, automated change approval boards, and continuous delivery pipelines in healthcare and fintech.
Treating developer platform capabilities as internal products to reduce cognitive load and eliminate ticket-driven IT bottlenecks.
Implementing mutual TLS, ephemeral service tokens, and continuous vulnerability scanning for enterprise SaaS platforms.
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