Systems | Development | Analytics | API | Testing

The EU's New AI Transparency Rules and What They Touch in PropTech

AI adoption across multifamily and PropTech has outpaced the rules meant to govern it, and one of those rules is now in force. On August 2, 2026, the transparency obligations under Article 50 of the EU AI Act began to apply, setting specific requirements for how certain AI systems interact with people and how AI-generated content is marked and disclosed.

Agentic QA demo: Stop fixing broken test scripts

See agentic testing in action with SmartBear BearQ. BearQ uses autonomous agents to explore your application, uncover defects, create regression tests, and adapt testing as your product changes – with human oversight built into the process. Broken, flaky test scripts eat up hours every sprint – and still leave gaps in coverage. SmartBear BearQ replaces constant script maintenance with agentic QA, so testing can move beyond predefined paths without giving up human oversight.

Customer Service AI Orchestration: Smart Intake Isn't Enough

Customer service AI orchestration connects AI-driven intake to the backend systems and people who actually resolve a request, not just the chatbot that receives it. Every request should trigger an end-to-end resolution, not stop at an automated response. The real challenge with AI in customer service isn’t adoption; it’s fragmentation.

The AI Code Verification Crisis: Meet AURA, the Platform Built to Solve It

AI didn't remove the release bottleneck, it moved it downstream. Code volume exploded, verification didn't. The old QA model isn't broken, it's outgrown: 80% of engineering teams have already traced a production incident to AI-generated code. AURA is Sauce Labs' answer, the only full-lifecycle release assurance platform built to close the gap. It continuously verifies every release against business intent, authoring, running, and regenerating tests in an autonomous learning loop, with humans in control.

Migrating a LoadRunner Script to OctoPerf With an AI Agent

A VuGen script is C. Some scripts are a recorded journey with helpers around it, others are a framework that happens to send a few requests. OctoPerf 17 ships a LoadRunner migration playbook for AI agents whose first job is to tell you which one you have. Real prompts, real output, script downloadable. Target: JPetStore, our public MyBatis demo shop. Every step is reproducible. One Action.c, HTTP recording level, eight transactions walking a purchase. Around them: It replays green in VuGen.

Migrating a NeoLoad Project to OctoPerf With an AI Agent

Migrating a load testing project is rarely hard. It is long, and easy to abandon halfway. OctoPerf 17 ships a NeoLoad migration playbook for AI agents. Real prompts, real output, project downloadable. Target: JPetStore, our public MyBatis demo shop. Every step is reproducible. One User Path, split Init / Actions / End, six containers walking a purchase. Around them: Download it to follow along.

Automating eLearning with AgentSpot: A 7-Agent Pipeline

Seven AgentSpot agents now augment every step of our content development pipeline, shifting our team’s focus from manual operational tasks to high-value content development and strategy. Our eLearning development team at ThoughtSpot manages around 50 courses and hundreds of videos across six learning paths on ThoughtSpot University. We build enablement content for external customers: business users, business analysts, data experts, and administrators.