Software testing stories
Developers can now avoid manual test setup as Kong's new link keeps API definitions, environments and credentials aligned across Insomnia and Konnect.
AI-generated code is outpacing enterprise review processes, prompting Qodo to add tools that flag cross-repo risks and enforce standards.
By focusing on evidence and small reversible changes, loop engineering could curb costly AI coding mistakes before they reach production.
Strict controls are now central to One NZ's AI push as it guards customer data and avoids costly errors in billing and finance.
The survey suggests employers now fear junior coders can generate output with AI, yet still struggle to explain or debug their own code.
Weaker oversight could turn AI-generated code into a costly drag, with security flaws and technical debt rising in enterprise projects.
AI pilots are faltering where firms still judge success by hours saved, leaving customer value and workforce design unresolved.
Enterprises modernising software delivery could cut testing risk and speed releases as the firms pair consulting with AI-enabled quality tools.
The pilot is intended to help firms prove AI is being managed safely and consistently as they move from trials to large-scale use.
Firms risk costly missteps as automated hiring filters miss staff who could be retrained for AI-augmented roles.
Yet live deployments are causing headaches for engineering teams, with most respondents reporting more incidents and heavier rework after AI code goes live.
Pressure to ship faster is leaving most firms exposed, with AI-generated code now outpacing testing and lifting quality risks across industries.
Enterprises trying to cut software maintenance costs may find more automation, as Tech Mahindra repositions legacy application work around agentic AI.
Companies adopting AI agents in payments now have a new way to spot compliance and revenue risks before customers are affected.
Pressure to curb AI costs and improve returns is pushing Asia Pacific organisations towards multi-model deployment strategies across the software lifecycle.
Developers can now manage multiple AI coding agents in one place as GitHub tests a desktop Copilot app with worktree automation and review tools.
Software teams could catch regressions before release as the new verifier checks pull requests against live production behaviour inside existing workflow tools.
UK businesses struggling to push AI pilots into production will get onshore support from a merged consultancy focused on delivery, quality and security.
Enterprise software teams are far more willing to use AI before production, with trust dropping from 82% at build to 58% at release.
The restricted model could speed up vulnerability fixes across Cohesity's platform as AI intensifies both attack and defence in critical software.