Software testing stories
Japan-based clients in finance and manufacturing will gain AI tools to replace legacy systems and speed software development under the pact.
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.
UiPath's partner network spans 30 countries and 250 use cases, signalling growing demand for automation projects across industries.
Enterprise quality teams could cut manual testing as UiPath adds AI agents to run, explore and maintain tests across applications.
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.
The service aims to cut errors from AI coding tools by giving engineers and agents shared product context across the full development cycle.
Security and data privacy are slowing wider use, even as 70% of Indian banks and lenders run artificial intelligence in production.
The takeover gives Adactin a bigger Microsoft practice, wider southern state reach and 82 extra staff, while keeping clients on the same contacts.