A new platform codifies governance rules for AI-driven software delivery, enabling stream-aligned teams to delegate implementation to an agentic loop while an enabling team defines guardrails that are…
Enterprises adopting multi-agent workflows are failing because they apply the human-focused Software Development Lifecycle (SDLC) to non-human AI agents, which have different failure modes. The propos…
At the VibeKode Munich conference, two parallel tracks revealed a stark divide: one focused on traditional machine learning, the other on AI-driven development with agents and autonomous pipelines. A …
Enterprises deploying multi-agent workflows often fail because they apply the human-centric Software Development Lifecycle (SDLC) to non-human builders, whose failure modes differ. The proposed Agenti…
A developer has detailed the mechanics of an AI-Native engineering pipeline called the ADLC (AI Development Lifecycle), which replaces human-driven manual tasks with automated, closed-loop agent netwo…
Agentic AI is being integrated into DevSecOps pipelines to automate security testing, real-time threat detection, and remediation across the software development lifecycle, according to Devops.com. Th…
AI agents are introducing new security risks in software development by autonomously planning, building, and shipping code, shifting the security focus from artifact inspection to trusting the agent s…