Systems | Development | Analytics | API | Testing

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.

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.

AgentSpot for Product - Product Discovery

Watch how AgentSpot builds a Product Discovery Agent that reads support tickets, sales calls, Slack threads, CRM notes and product analytics, clusters what customers keep raising into ranked themes, and hands your PMs the pattern, the accounts affected, the evidence behind it and what to do next. What is AgentSpot? AgentSpot is an Agentic Workforce Platform for building workflows that make decisions, take action, and deliver results across every system your business runs on, grounded in your data.

AgentSpot for Product - Opportunity Planning Agent

Watch how AgentSpot builds an Opportunity Planning Agent that reads your validation brief in Confluence, queries your GTM and product models in ThoughtSpot for the evidence behind it, weighs the build options against real pipeline and roadmap themes, and publishes a decision-ready brief with a named bet, a priority call, and a now-next-later path, so your next planning cycle starts from evidence instead of opinion.

AgentSpot for Product - Release Notes Workflow

Watch how AgentSpot builds a Release Notes workflow that checks GitHub every morning for new staging releases, gathers the merged PRs behind them, rewrites the whole lot into benefit-first, jargon-free release notes, and publishes them as a Slack Canvas with a short summary posted to your channel, so your team learns what shipped without anyone hand-writing it. What is AgentSpot? AgentSpot is an Agentic Workforce Platform for building workflows that make decisions, take action, and deliver results across every system your business runs on, grounded in your data.

How We Use AI to Smoke Test True Production Insights

Every testing vendor says "AI-powered" now. Fewer of them can show you the actual verification pipeline underneath that claim: what gets checked, what gets trusted without checking, and what happens the moment something breaks. This is that pipeline, as I run it against True Production Insights, formerly known as TrueTest, every time we ship a change to it.

Get more control over AI Test Case Generation in Xray

Writing Tests from Requirements often starts with the same decision: how many scenarios does this change actually need? The number of Tests needed for a Requirement depends on the behavior it describes. A small change may require only a few Tests, while a feature with several acceptance criteria, user roles, and possible outcomes may need a broader set. AI Test Case Generation in Xray now lets testers account for that difference before generation begins.

Keep API tests in sync with OpenAPI using Claude Code | SmartBear ReadyAPI

Want your API tests to stay accurate every time your OpenAPI spec changes? See how the SmartBear ReadyAPI MCP Server connects directly to Claude Code, so your API tests stay in sync with your OpenAPI spec without manual rework so you stay apace of change. In this walkthrough, Adrian Minnock, SmartBear Solutions Engineering Team Lead, configures the ReadyAPI MCP Server and connects it to Claude Code from the terminal. The demo also shows how ReadyAPI detects and repairs tests automatically after a spec change, then runs the new suite with ReadyAPI's own execution engine.