GitHub stories
Teams testing software integrations could soon avoid live APIs and shared sandboxes, as LocalStack adds WonderTwin AI's application emulators.
Firms using AI to code may get tighter oversight, as the platform logs approvals, prompts and spending inside shared workflows.
Subscribers can now run sensitive AI tasks on Ryzen AI Max PCs locally, reducing cloud use and keeping more data on device.
Developers can now access cheaper GPT-6 options as OpenAI cuts API prices by half and says caching changes will speed up agent workflows.
Lower running costs and faster output are aimed at businesses using Anthropic's latest Claude model, which starts at USD $4 per million input tokens.
High-end RTX users can now keep sensitive work on-device as Perplexity extends its local AI agent to supported Windows PCs.
Criminals are increasingly using AI for ransomware and credential theft, while flaws in test models are exposing production systems and data.
Autonomous systems are now creating fresh avenues for code theft, remote execution and runaway cloud spending, Mandiant says.
The update aims to cut AI costs and governance risks by reusing approved workflows and data inside tools such as ChatGPT and Copilot.
The private previews aim to help security teams spot exploitable code chains and connect AI agents to Rubrik's governance tools more safely.
The open-source release could cut the time and coding needed to build quantum applications for researchers using standard PCs and GPUs.
Defenders now have minutes, not hours, as attackers use agentic AI to automate credential theft, scanning and extortion across live operations.
Rising inference demand and custom hardware needs are pushing AI infrastructure beyond standard cloud setups, boosting open source tools.
Software agents could cut search time and token use by querying code history across repositories, commits and session transcripts.
Developers can now let Copilot switch models mid-task as GitHub trials a system that cut benchmark costs by up to 67 per cent.
The platform meant to cut response times for teams wrestling with faster AI-driven release cycles, and one early customer surfaced 328 incidents in two months.
Farming customers could see faster fixes as the system now handles alert triage and code changes, saving more than 215 engineering hours.
Software teams using AI coding agents face faster pull request volumes, as Harness pairs a new repository with risk-based review tools.
Insurers can now use familiar AI coding tools to build and manage policies in Socotra's platform without bespoke integrations, the company says.
Shared code channels could keep AI-assisted development visible to whole teams, with human sign-off still needed before production releases.
