Software testing stories
Developers can now check AI-generated code against live applications without leaving their chat tools, as Functionize ties testing into Claude Code and Copilot.
Software teams can now test Azure code locally, cutting provisioning delays, reducing cloud spend and easing security concerns around live credentials.
The ranking should help the application security company bolster its sales pitch as buyers seek clearer proof of exploitable flaws and fewer false alarms.
The new tool aims to cut manual coordination in quality assurance, while keeping human approval in place for every AI-generated change.
The update aims to cut manual verification work for teams building software-defined products, with new testing and inspection tools added.
The model caught more bugs than CodeRabbit's production baseline, but the gains came with more comments and higher token use.
Keeping customer and transaction data in-house, the software aims to cut the need for copied databases as firms train AI models.
Teams testing software integrations could soon avoid live APIs and shared sandboxes, as LocalStack adds WonderTwin AI's application emulators.
The tool aims to close security gaps left by AI-written code before vulnerabilities reach security backlogs or pull requests.
Software teams are spending more on review and debugging as AI now writes at least half the code for 42% of developers, a survey found.
Integration projects could be completed in days rather than weeks as specialised AI agents automate connector build and testing for Avalara customers.
Customers can now refresh test environments with recent production data in separate AWS accounts while keeping control of encryption and audit trails.
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.
Wider adoption is not easing quality worries, with 29% of teams reporting more or worse defects even as 92% now use AI in testing.
The expansion gives the Cambridge company a local team in a market seen as vital for software testing and used-device processing.
The shift freed 35% of engineering and quality assurance capacity while improving telecom release cycles and cutting device-spend by more than 10%.
Three-quarters of US enterprise IT leaders say business-critical updates are arriving faster than they can test them, raising continuity risks.
Rising cloud update cycles are leaving many enterprise IT teams unable to verify critical software changes before they hit operations.
Smartphone apps used for banking and workplace access will face tougher defences as the partners recruit two cybersecurity researchers for a 30-month project.