Systems | Development | Analytics | API | Testing

How to Test RAG Pipelines for Reliable AI | Aparana Gupta | Testflix 2025 | #testingcommunity

Retrieval-Augmented Generation can sound convincing while still being wrong. This session focuses on moving beyond surface-level metrics and turning stochastic AI outputs into evidence-backed, verifiable results. It explores how to test the entire RAG pipeline, from ingestion and indexing to retrieval, grounding, and answerability, ensuring every response is traceable to the right source, policy, and user context.

Private AI: Gains, Gaps and Gotchas | Samar Ranjan | Testflix2025 | #testingcommunity

Private AI is emerging as a strong alternative for teams that need the power of AI without compromising data privacy or compliance. This session explores how local LLMs can support software development and test automation when cloud-based tools are not an option. Using setups like Ollama with models such as Qwen 2.5 and integrations like the Continue plugin, the talk demonstrates how secure, on-device AI can accelerate tasks like BDD creation, automation scripting, and performance testing.

Personalisation in Healthcare: How Data & AI Are Transforming Patient Experiences

‍ In an era where one-size-fits-all approaches in healthcare are increasingly falling short, personalisation stands out as a powerful transformation. Personalisation in healthcare holds the promise of delivering the proper treatment to the right patient at the right time. With rapid advancements in data collection, computing power and artificial intelligence (AI), what was once a futuristic vision is steadily becoming today's reality.

How to Choose the Right AI Consulting Company in the USA? ( 2026)

‍ Artificial Intelligence is unequivocally becoming the essential driver of business growth, a mandate clearly expressed by the market. But if you’re a U.S.-based enterprise leader, you know the reality feels a lot messier than the headlines suggest. Everyone is talking about AI transformation, but for many, it turns into a maze of complex data science, over-budget projects, and Proofs of Concept (PoCs) that never make it to production.

Is Claude Code Spying for OpenAI? #speedscale #anthropic #openai #claude #codingagent

While analyzing network traffic, we found huge amounts of telemetry including chat snippets, being sent to statsig.anthropic.com. The irony? Statsig was recently acquired by OpenAI. In this video, we use proxymock to intercept the traffic and show you exactly what’s being sent from your terminal to Anthropic (and technically, OpenAI’s infrastructure).

Peeking Under the Hood of Claude Code

Everyone is talking about Claude Code, but few people understand the machinery running in the background. Today, we’re opening up the terminal to see how Anthropic’s coding agent manages state, runs tests, and fixes its own bugs. From the Model Context Protocol (MCP) to its unique React-based terminal UI, find out what makes Claude Code the most "senior" feeling AI assistant on the market.

Best Serverless GPU Platforms for AI Apps and Inference in 2026

The performance of AI applications depends on its underlying infrastructure. Whether its fine-tuning custom models, performing real-time inference, deploying AI agents, AI workloads require high-performance hardware like Nvidia GPUs or next-gen AI accelerators from Tenstorrent. On top of performance, efficiently running AI workloads in production and at scale is a challenge.

What is AI Governance? 2026 Framework Guide

While AI is revolutionizing the future of nearly every industry, it’s also created a unique set of challenges and liabilities that will need to be addressed as the area grows. Enter AI governance: a set of rules and best practices to ensure that AI is used effectively, securely, and responsibly. But what exactly does that mean, and why is it so crucial for businesses?

How is Katalon's approach to AI in software testing different?

Katalon’s AI approach is different because it builds on tools teams already use, adds AI without forcing process changes, and introduces novel capabilities like generating tests directly from real user behavior. It also applies AI across the entire testing lifecycle, creating a more complete and unified solution than most tools offer. — Coty Rosenblath, Chief Technology Officer at Katalon Follow Katalon for more insights in our series!