Search Results: AIOps

As developers increasingly rely on LLMs like Claude Sonnet 4 for 'vibe coding,' a critical blind spot emerges: AI agents can't observe code execution, leading to unreliable outputs. By integrating traceability tools like Sentry via the Model Context Protocol, teams can create a feedback loop that validates AI-generated code against real runtime data. This breakthrough promises to elevate trust in AI-assisted development while reshaping CI/CD practices for the era of agentic workflows.

Atlassian rolls out generative AI capabilities across Jira Service Management and Confluence, automating incident summaries, agent responses, and content refinement. The features prioritize data privacy with enterprise-grade security controls while accelerating IT and developer workflows.

Coroot's eBPF-powered observability platform eliminates manual debugging by automatically pinpointing failures across entire stacks—including third-party and legacy services—with AI-driven explanations. Offering frictionless deployment and predictable core-based pricing, it delivers actionable insights in plain English within minutes.