Tag: AI-Driven Development
Why Shift Left is Dead
Devin Maguire | | ADLC, agentic development lifecycle, AI Governance, AI guardrails, AI security, AI-Driven Development, AI-generated code, application security, Developer Security, devsecops, prompts, sdlc, secure software development, shadow ai, shift left security, Software Supply Chain SecurityAI-driven development is exposing risks before code is written, forcing security teams to move beyond shift-left and govern agents, prompts, tools and data across the entire development lifecycle ...
Google ADK Opens the Door to AI Agents That Work Inside Your DevOps Toolchain
Tom Smith | | Agile workflows, AI agents, AI-Driven Development, AI/ML ecosystem, CI/CD, code management, database queries, devops, engineering workflows, GitHub integration, Google ADK, MPL-based integrations, observability, observability-native frameworks, Pinecone, project management tools, software development, system performance, telemetery, third-party integrations, workflow automationGoogle ADK adds integrations for GitHub, GitLab, Jira, MongoDB, and seven observability tools. AI agents can now work inside your DevOps toolchain ...
Predict 2026: Why AI Will Force DevOps to Reinvent Itself
Mike Vizard | | agentic AI, AI in DevOps, AI-Driven Development, Analyst Insights, CI/CD Automation, cloud infrastructure, data governance, DevOps Dozen Awards, DevOps transformation, devsecops, Innovation in Software Engineering., Operational Strategies, Predict 2026, SaaS Business Models, security integration, software development, technology trendsJoin us at Predict 2026 to explore how AI is transforming the DevOps landscape, enhancing software delivery, and redefining operational strategies ...
The Breakneck Future of Codegen: Why AI SWE Must Be Matched with AI SRE
Anish Agarwal | | AI automation, AI code generation, AI in DevOps, AI infrastructure, AI observability, AI operations, AI reliability, AI SRE, AI-Driven Development, cloud-native systems, code duplication, distributed inference, GitHub Copilot, incident management, parallel reasoning, resilience engineering, site reliability engineering, software reliability, software vulnerabilities, technical debtAI codegen is transforming software development — but as speed and complexity increase, so does fragility. AI for site reliability will need to keep pace to avoid system breakdown and engineer burnout. ...
