Large Language Models

A comprehensive SDET guide to Vision-Language Models in QA. Learn how multimodal VLMs, visual grounding, Canvas automation, and semantic visual assertions eliminate…

A comprehensive SDET guide to self-healing test automation with LLMs. Learn how runtime error interception, semantic DOM extraction, and AST code patching…

A comprehensive SDET guide to agentic QA architecture. Discover the 5 best patterns behind autonomous test agents, accessibility perception, self-healing, and LLM…

Build durable AI agents using step checkpointing, strict tool schemas, and persistent memory systems. These seven proven steps ensure instant automated crash…

Graph engineering extends traditional loop-based thinking by modeling relationships, states, transitions, dependencies, retries, and execution paths across complex software systems.

Traditional test automation validates individual scenarios, but complex systems require more than isolated scripts. Graph testing adds a behavioral layer that models…

Gemini CLI 0.55.1 introduces tool registry discovery alongside security, CI, release verification, and filesystem-related changes. Here's what QA engineers and SDETs should…

OpenTelemetry 0.158.0 introduces queuebatchprocessor, improves Collector configuration schemas, and promotes the memory limiter to beta. Here is what QA engineers and SDETs…

API testing GraphQL requires more than checking response status codes. Learn how to validate schemas, operations, authorization, business rules, performance, errors, and…

LangGraph durable execution helps AI workflows survive interruptions, human decisions, worker failures, and external API problems. Learn how checkpoints, interrupts, idempotency, recovery…