GitLab has launched the public beta of its GitLab Duo Agent Platform, an orchestration tool that enables developers to collaborate asynchronously with AI agents across the DevSecOps lifecycle. The platform, now available to GitLab.com Premium and Ultimate customers as well as self-managed installations, transforms traditional, linear development workflows into dynamic, multi-agent systems where AI handles routine tasks such as refactoring, security scanning, and research, while developers focus on complex problem-solving.
This isn't another "AI tool." It's ChatGPT's new Agent - a fully autonomous virtual worker that can predict trends, reverse-engineer your competitors and even scan your Instagram for untapped revenue hiding in forgotten DMs. In this video, you'll see exactly how solopreneurs are using it to run profitable one-person businesses on autopilot - replacing tasks that once took entire teams.
In an AI-powered economy, business leaders are focused on enhancing the productivity and efficiency of their workforce and operations. To accelerate value creation, while focusing on cost reductions and efficiencies, companies are identifying and removing silos -- structural, data, and organizational -- so they can successfully deploy hyper automation and emerging technologies like autonomous AI agents and robots, serving as an extension of their digital labor.
AI Agents are Entering Production Faster Than You Think AI agents are already helping teams triage tickets, summarize logs, provision environments, run basic tests, write code snippets, and answer developer questions. But here's the rub: them are being deployed without formal ownership . A developer experiments with an LLM wrapper, gets useful results, and suddenly it's a critical part of the toolchain. No review. No plan. No infrastructure.
Qwiet AI today extended the reach of its application security platform that uses artificial intelligence (AI) agents to discover and remediate vulnerabilities in code to now provide deeper integrations with Azure DevOps, Azure Boards and GitHub platforms from Microsoft. The company has also enhanced its support for webhook notifications, automated data export processes, expanded secrets configuration and made minor user interface (UI) enhancements.
Aaron Levie told Business Insider there's a catch to AI agents: If you feed them too much information, they start to lose the plot. The CEO of the cloud-storage giant Box calls this problem "context rot." The more data you give the AI model, "it doesn't necessarily lead to a better outcome," Levie said on Tuesday. "The model will just get very confused and potentially focus on the wrong part of the information," Levie told Business Insider. As the task drags on, the model can lose track of what it's supposed to focus on, leading to worse results, he added.
Pssst. Hey. You. Yeah, I'm talking to you. Are you a CEO, board member, senior VP, or other top-level corporate leader? You want to know a secret? You've got three to six months to AI agent-up your company, or you'll fall behind. You know what that means, doncha? If you fall behind, you're out. Also: 95% of business applications of AI have failed. Here's why This is the gist of a highly questionable forecast coming out of Gartner this week .
"MCP acts like a secure 'universal adapter' for connecting AI agents (like Copilot) to external tools, databases, code search engines, or deployment pipelines, so there are no more one-off integrations for every service," Walter said.
AI Mode for search, which essentially allows Gemini to serve as the sifter of SERPs instead of the old-fashioned Google algorithm, became an opt-in preview feature in March before rolling out as an option to general Google users in May. For those who haven't deigned to use it, AI Mode basically turns the Google search page into a chat window where users can ask typical queries and get results delivered from a Gemini-powered chatbot that one has to assume isn't bullshitting them,
With 56+ hands-on training sessions at ODSC West 2025, attendees will engage directly with AI tools and frameworks utilized by today's leading AI teams.
"Nvidia's multi-million-token context window is an impressive engineering milestone, but for most companies, it's a solution in search of a problem," said Wyatt Mayham, CEO and cofounder at Northwest AI Consulting. "Yes, it tackles a real limitation in existing models like long-context reasoning and quadratic scaling, but there's a gap between what's technically possible and what's actually useful."
Business professionals exhibit significantly lower concern about AI-driven threats compared to technical teams, indicating a potential disconnect in understanding security risks in the digital landscape.
Most products marketed as 'AI Agents' are often deterministic, combining specific code with LLM steps to create an engaging experience, rather than being truly autonomous.