Rapid adoption of AI-driven coding tools could lead to a significant rise in software vulnerabilities, challenging current security practices.
Search Results: ai software development (737)
The rise of AI in cloud services is transforming coding with tools like Google’s Goose and GitHub Copilot, but careful integration is needed to balance benefits with potential drawbacks
The blurring lines between AI and low-code are reshaping software development, as AI complements low-code platforms and expands their capabilities.
With DroidGPT, Endor Labs applies generative AI to software development to ensure open-source packages are current and secure.
The future of software development is evolving to become more low-code, says Bill Doerrfeld, who explains with practical use cases that illustrate the benefits.
In sync with OpenAI’s latest LLM release, Microsoft delivers GPT-5 for Copilot, Copilot Studio, and GitHub Copilot, while advancing GPT-5 usage for security use cases.
Oracle’s Kris Rice discusses how the company is accelerating AI innovation through the new MCP server, integrating LLMs with enterprise data, and enhancing developer experience across multi-cloud environments.
In the second significant update since the company launched the agent interoperability spec in April, the company is making it easier for partners to capitalize on key facts of its development platforms and get agents in front into market.
The Stargate project, now over 5GW strong, gains speed with Oracle’s massive cloud infrastructure build.
In Q2, IBM showcased how AI is expanding — not replacing — its legacy products, with strong adoption of AI-assisted tools for mainframes.
Enterprise apps and AI software giant endorses AI standard, adding momentum and simplifying access to dominant database platform.
Vendor-agnostic AI agent orchestration platform gains AWS-centric functionality and consulting firm indicates similar integrations wll be offered for other hyperscalers.
By tapping the Model Context Protocol, Microsoft ensures a wide range of AI tools can access corporate assets stored in its Dataverse platform, while furthering the industry’s aggressive adoption of MCP.
ISVs enhance Dynamics 365 ERP with AI, automation, and faster implementation to drive efficiency and reduce risk.
In under a year, AWS and NVIDIA co-engineered a hybrid liquid-air cooling system, showcasing the speed and depth of tech collaboration in the AI era.
Leading cloud and AI providers are partnering with enterprise customers to develop a comprehensive framework designed to secure AI systems and agents, advancing the industry’s ongoing push for stronger safeguards.
Ajay Patel of IBM outlines how enterprises are shifting from AI experimentation to real-world application, especially in sales, R&D, and operations.
Rob Ashe, Blaine Grzegorek, and John Siefert explore how ISVs provide industry-specific ERP solutions, reduce internal development costs, and enhance scalability.
With Agentic AI powering 30–50% of Salesforce operations, Marc Benioff’s lack of specificity on human job evolution triggers skepticism.
Snowflake is buying Crunchy Data for a reported $250M to integrate enterprise-grade PostgreSQL into its AI Data Cloud and accelerate agentic AI innovation.