Content by Mike Vizard (77)
Mike Vizard explores how MyDecisive's open-sourced Smart Telemetry Hub brings advanced telemetry filtering to DevOps teams, supporting efficient observability and lower costs.
Mike Vizard summarizes findings from a recent GitLab DevSecOps survey, revealing how AI coding is driving demand for software engineers and transforming DevOps, with significant implications for compliance and team collaboration.
Mike Vizard examines how JFrog's new AI code detection and governance features empower DevSecOps teams to enhance software supply chain security and manage risks from AI-generated code.
Mike Vizard discusses a survey of enterprise technology leaders, exploring the real-world difficulties of DevOps platform migrations, the risks of AI integration without review, and the impact on developer morale and security.
Mike Vizard explains how Bindplane's new Blueprints and Fleets features enable DevOps teams to streamline large-scale OpenTelemetry collector deployments, improving telemetry pipeline management and observability.
Mike Vizard details how Qovery's new AI agents, including the DevOps Copilot suite, help automate and optimize DevOps workflows, aiming to minimize manual effort for teams.
Mike Vizard provides an in-depth look at Tabnine Agentic, highlighting how these new AI agents automate DevOps workflows like refactoring and debugging, with a strong focus on governance, compliance, and cost management.
Mike Vizard details how Observe Inc. equips its observability platform with two new AI agents, empowering DevOps and SRE teams to automate root cause analysis, streamline code instrumentation, and use natural language tools for advanced debugging.
Mike Vizard details how Kong's integration of Model Context Protocol (MCP) into Insomnia 12 enhances support for AI-driven APIs by improving API testing, configuration, and security for DevOps teams.
Mike Vizard reports on Snyk CTO Danny Allan's warning regarding software security challenges posed by AI-powered coding, explaining why developer discipline and security integration are critical.
Mike Vizard presents insights from a survey of IT professionals, revealing the widespread security vulnerabilities found in AI-generated code, and discussing the implications for DevOps and security teams.
Mike Vizard discusses AppOmni's Heisenberg, an open source tool that automatically scans pull requests for risky dependencies and generates real-time SBOMs, supporting better security practices for developers and DevSecOps teams.
Mike Vizard details the debut of GitHub Agent HQ, a unified platform for managing AI agents embedded in DevOps workflows, highlighting features that streamline development practices.
Mike Vizard summarizes the EMA/Perforce survey findings, exploring how AI coding tools are shifting focus in DevOps workflows, with increased time spent on review and new challenges around security and code quality.
Mike Vizard reports on Opsera's launch of an AI-powered reasoning agent for assessing the quality of code produced by AI tools, with integration into DevOps workflows and GitHub MCP.
Mike Vizard examines a report by Ox Security highlighting ten problematic behaviors exhibited by AI coding tools, focusing on their impact on software quality and DevOps security workflows.
Mike Vizard covers Cycode’s preview of capabilities to detect and inventory AI tools and platforms in codebases, helping DevSecOps teams enhance application security and governance.
Mike Vizard discusses how Sonar’s SonarSweep service helps AI development teams reduce bugs and vulnerabilities in AI-generated code, offering actionable insights for DevOps and security professionals.
Mike Vizard summarizes the results of a BairesDev survey, showing developers are embracing AI faster than project managers, with implications for DevOps leaders and software teams.
Mike Vizard summarizes a Fastly survey showing rapid AI adoption for DevSecOps, detailing the integration level, trust factors, and challenges as organizations automate application security.