Agentic AI is turning QA from scripted execution into autonomous, risk-driven orchestration. Faster releases, smarter testing, but still guided by humans.
This article walks you through why Git repos grow, how to find and remove hidden large files, and how to optimize pack files to get your repo back into shape.
In this article, learn about Qwen Code, a terminal-based AI coding assistant optimized for Qwen3-Coder. Learn setup, commands, testing, and workflow tips.
RAG alone doesn’t stop hallucinations. I use five guardrails: relevance scoring, forced citations, NLI checks, staleness detection, and confidence scoring.
Migrating from DLT to Lakeflow is mostly an API refactor, swapping DLT for pipelines, separating streaming and materialized tables, and updating CDC logic.
AI systems can be fully “up” yet behave unpredictably, expensively, or incorrectly. Observability must track job state, retries, token usage, and cost.
Kubernetes is becoming the backbone of multimodal AI — combining GPUs, smart schedulers, and model-serving tools to run text, image, etc., cost-effectively.
This article compares the use of custom Lambda authorizers in AWS API Gateway and AWS AppSync, focusing on their respective approaches to API authorization.
DevOps pipelines are often automated, yet operations side remains surprisingly manual. Here’s a framework to reduce toil using AIOps and the SECI model.
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