Latest posts
Agent Observability: Tracing Multi-Step Reasoning in Production
Agent observability is the difference between shipping AI agents and understanding why they fail, loop, or overspend in production.
Alert Fatigue: Designing Alerting Rules That Get Acknowledged, Not Ignored
Most alerting systems fail because they page on internal vibrations instead of real user pain. Better alerting starts with symptoms, SLO burn rates, and ruthless pruning.
Anatomy of a Production AI Agent: Memory, Tools, Guardrails, and Fallbacks
Demo agents chain a model to a tool. Production agents survive failing APIs, compliance constraints, and messy workflows because the right subsystems exist around the model.
API Gateway Patterns: Authentication, Routing, and Transformation at the Edge
Scattering authentication, routing, and transformation across services creates inconsistency and risk. The gateway exists so services can focus on business logic instead.
API Versioning Strategies That Do Not Break Existing Clients
Versioning is not a release label. It is how teams keep an API promise while evolving behavior, communicating deprecation, and protecting existing consumers.
Automating Document Processing Pipelines with OCR, Classification, and Validation
Document automation works best as a layered pipeline, not a monolithic black box. OCR reads, classification routes, validation verifies, and confidence determines how much human attention is still needed.