Systems | Development | Analytics | API | Testing

speedscale

I built an API traffic classifier for business workflows

Aug 25, 2026 By Ken Ahrens In Speedscale
An engineering leader asked me a question a few weeks ago: could we read their business workflows out of API traffic instead of asking people to document them? I said it should be possible. Then I tried it. A few engineers know how the system really works. They know which calls make up a work order and which checks happen after a write. That stuff rarely makes it into the test plan. Usually it’s in somebody’s head. Sometimes it’s in several heads, with slightly different answers.
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Agentic QA demo: Stop fixing broken test scripts

Aug 25, 2026 By SmartBear In SmartBear
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.
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octoperf

Migrating a LoadRunner Script to OctoPerf With an AI Agent

Aug 25, 2026 By Gerald Pereira In OctoPerf
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.
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The AI Code Verification Crisis: Meet AURA, the Platform Built to Solve It

Aug 25, 2026 By Sauce Labs In Sauce Labs
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.
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appian

Customer Service AI Orchestration: Smart Intake Isn't Enough

Aug 25, 2026 By Heather Dunn In Appian
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.
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oril

One Business Entity, Multiple Definitions: The Architecture Flaw That Slows PropTech Platforms

Aug 25, 2026 By Ihor Sokolyk In ORIL
A platform can connect a dozen systems and still behave as if it connects none of them. The listings service reports one count of active properties, the analytics dashboard reports another, and finance keeps a third in a spreadsheet. Each number is correct inside its own system. None of them agrees, because every system carries its own definition of a Listing, a Property, and an Agent. This is usually diagnosed as an integration problem, so teams add another connector.
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appian

Unifying Data with Appian Data Fabric

Aug 25, 2026 By Donna Namorato In Appian
When information is spread across disconnected systems, it becomes difficult and time-consuming to find the right information, make informed decisions, and move work forward. Take, for example, planning a weekend getaway with friends: you have to review airline portals, manage a shared Google Doc for the itinerary, orchestrate a flurry of WhatsApp chats, and book an Airbnb reservation. Making decisions with this much information sprawl becomes exhausting.
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thoughtspot

Automating eLearning with AgentSpot: A 7-Agent Pipeline

Aug 24, 2026 By Jeevan Reddy In ThoughtSpot
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.
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