Systems | Development | Analytics | API | Testing

Resumable token streaming: why AI streams break on reconnect

Refresh the page, lose signal, switch tabs. Users expect the AI conversation to still be there when they return, with the answer picking up where it left off. Resumable token streaming makes that possible: a returning client catches up with the in-progress response instead of starting over. Making a stream resumable is an architecture decision. Starting generation, storing the response, and delivering it need to happen in separate parts of your stack.

How Agentic Performance Testing differs from co-pilots and AI assistants

Most AI tools are designed as one assistant or co-pilot answering one prompt, but Tricentis Agentic Performance Testing is built differently. In this video, Product Marketing Manager Twan Koot explains the two pieces behind it: purpose-built tools and a team of seven specialized agents, each designed to do a performance tester’s job the way it should be done. Key highlights.

SwiftUI DatePicker & ColorPicker Tutorial: How to Pick Dates and Colors #Shorts #swiftuitutorial

SwiftUI DatePicker and ColorPicker tutorial: how to pick dates and colors in SwiftUI, choose a DatePicker style (compact, graphical or wheel), show only the date or only the time with displayedComponents, and hide opacity with supportsOpacity. Both are system pickers that bind to a state property: DatePicker to a Date, ColorPicker to a Color. This Short shows each one in a real iPhone app in the iOS Simulator, with the exact code.

Cautionary Tales from the Age of AI

Can AI agents actually fix production Kubernetes clusters, or are we just trapped in flashy AI marketing hype? In this Cloud Native Budapest session at Cloudera, Yurii Palamarchuk (Cloudera) breaks down why most AI demos fail in production, and Péter Megyesi shares how autonomous AI agents (Claude Code, kubectl) resolved a complex 6-year-old Ceph & Kubernetes outage.

Why Enterprise AI Context Lives in People's Heads, and How to Fix It

Why does context always seem to live in people's heads in enterprise organizations? According to Jessica Talisman, author of The Ontology Pipeline and founder of Contextually LLM, the answer is that organizations have invested heavily in data management for decades — and almost nothing in knowledge management. In this clip from Day 1 of our Semantic & Context Layer Series, Jessica joins Jane Smith and Sonny Rivera to untangle the terminology confusion around semantic layers, context layers, and memory and explain why the gap between data and knowledge is exactly where AI answers break down.

Open Data Infrastructure in the age of AI agents

Fivetran + dbt Labs CEO George Fraser and Fivetran + dbt Labs President Tristan Handy sit down with Andreessen Horowitz general partner Martin Casado, one of the leading investors in software and AI infrastructure, to talk about Open Data Infrastructure in the AI era. Martin and his team have invested in dbt, Fivetran, Tabular, Cursor, OpenRouter, and many other companies.

Appian Q3 Release Highlights: AI Speed Meets Enterprise Controls

AI is evolving faster than organizations can keep up, and often it’s the most important operations that fall the furthest behind. That’s exactly why Appian is focused on AI for complex, enterprise-grade processes—to make applying AI automation to important work easy. Over the last quarter, Appian has continued to invest in capabilities that help you deploy AI fast without sacrificing control: Over 80% of developers regularly use AI coding tools.

Optimize Load Test Script Maintenance with AI

AI-driven load test script maintenance can significantly reduce the manual updates required by traditional tools. As your application evolves – whether through new user flows, updated endpoints, or changing parameters – AI features in some platforms help automatically adjust scripts to reflect these changes. This simplifies maintenance and allows your team to focus on testing outcomes rather than constant script rewrites.

Marketing Root Cause Analysis: Using AI to Diagnose Why Performance Dropped (and What It Leaves Out)

Your dashboard already told you ROAS dropped. The expensive question is why, and answering it means correlating data across platforms, isolating variables, and testing hypotheses against the numbers. Done by hand, that is an afternoon per incident. Done by AI, it takes seconds, with one catch.