Software testing stories
The tie-up aims to help clients cut software delivery times and modernise legacy systems while keeping security and compliance under control.
AWS users can now run GitLab Duo Agent Platform inference through Amazon Bedrock, keeping AI workflows inside existing controls and budgets.
The framework is designed to expose hidden risks in production AI systems that can be missed by conventional one-off tests.
Ideas from across Adobe are vetted live at Summit, and some have gone on to become products after further testing and hardening.
The beta release could save QA teams up to an hour per test by turning manual cases into automation code in seconds.
The update could help developers keep longer projects moving by letting Codex handle desktop tasks, browser work and persistent context.
Brands using customer-facing chatbots face fresh pressure to prove safety and accuracy as Testlio rolls out human-led checks for live-use failures.
More than half of organisations have shipped AI tools, but quality problems and weak testing are leaving many projects stranded before production.
Rising use of AI assistants is making software harder to understand, prompting teams to revive stricter testing, controls and oversight.
Enterprises under release pressure can now test more quickly, as Leapwork combines functional automation, performance testing and AI orchestration in one platform.
The hire signals Applause’s push into AI-driven testing as enterprises seek tighter checks on software before customer releases.
Engineering teams are still losing two working days a week to debugging, as lack of production visibility leaves AI fixes hard to trust.
The ranking spotlights growing buyer demand for proven AI savings as enterprises shift from pilots to production across core operations.
More software teams could catch AI-made defects before release as Katalon’s new platform adds human approval, traceability and live monitoring.
External AI tools can now control live tabs, forms and searches inside Opera Neon, reducing copy-paste friction for users and developers.
The ranking highlights demand for tools that tackle slow, manual software delivery, even as AI speeds up code creation at large enterprises.
Outages and opaque AI decisions are pushing APAC firms to use observability to keep automated systems reliable, accountable and compliant.
Gamma urges firms to phase AI customer experience rollouts, boosting governance and testing to cut disruption and data quality risks.
Australian firms risk shifting bottlenecks from coding to testing and security as AI boosts developer output but leaves workflows fragmented.
The funding will help Qodo expand globally as enterprises look for ways to verify AI-written code before it reaches production systems.