Test Automation stories
The new service lets users delegate ongoing work to persistent agents that can act across apps, raising fresh privacy and control questions.
Teams testing software integrations could soon avoid live APIs and shared sandboxes, as LocalStack adds WonderTwin AI's application emulators.
Hardware teams facing telemetry overload can now automate investigations inside Sift, with findings stored for reuse and human approval required before changes.
Enterprises adopting AI agents are getting tighter oversight and data boundaries as UiPath expands controls across automation, integration and deployment.
The new tools aim to help teams spot when customers fail to complete checkout, sign-in or onboarding, despite healthy system metrics.
Enterprise quality teams could cut manual testing as UiPath adds AI agents to run, explore and maintain tests across applications.
Automated code generation cut months from Google's finance migration, helping engineers keep legacy systems and Spanner in lockstep without downtime.
The Singapore debut puts Huawei Cloud in the race to win enterprise developers as AI tools shift from code suggestions to full project support.
AI tools are being added to legacy IBM systems as firms struggle to modernise core software amid persistent skills shortages.
The pay-per-minute service could cut testing costs for teams that need to check apps across many handset types and screen sizes.
Australian businesses gain local help to move Claude pilots into live use, with TechForce handling integration, governance and approvals.
The deal aims to help enterprise AI testing tools judge software changes more reliably across complex systems and dependencies.
Enterprise buyers can now procure Testlio's testing services through AWS and Microsoft marketplaces, alongside pre-committed cloud spend.
Government agencies and enterprises in Australia gain tighter checks on AI-led contact centres as Adactin adds Cyara's IVR testing platform.
Developers are being told to trim AI context and automate routine checks as token-heavy workflows raise latency, errors and cloud costs.
Rising cloud update cycles are leaving many enterprise IT teams unable to verify critical software changes before they hit operations.
The service aims to cut errors from AI coding tools by giving engineers and agents shared product context across the full development cycle.
Enterprise software teams can switch large language models without changing release checks, reducing lock-in as AI coding outpaces testing.
Only 8% of organisations have agentic AI in production, highlighting the governance gap Harness aims to close with its new tools.
With AI-related defects threatening user trust, the new platform pairs automated test creation with human checks across global devices and markets.