Port, the agentic SDLC company, announced Port AI Builder, the industry’s first purpose-built vibe coding experience designed for platform engineering and development teams. It allows teams to create and operate agentic workflows using natural language, with human-in-the-loop review and approval built in. This enables organizations to reliably infuse AI agents across the SDLC while maintaining governance and visibility.
“AI is fundamentally changing how software gets built,” said Zohar Einy, Co-founder and CEO of Port. “Everyone is a builder now. Developers and platform teams alike want to create AI agents that eliminate toil, remove bottlenecks, and improve software delivery. Platform teams need to enable builders across the org to reliably contribute agents to the SDLC, on top a foundation that’s context-aware, governed, and integrated with their stack. Port delivers that.”
Port’s Agentic SDLC Platform already provides the context lake, workflow orchestration, agent management, and governance enterprises need to operationalize AI-SDLC. On top of that foundation, the new AI Builder lets teams build and run production-grade agentic workflows in minutes, for use cases like autonomous resolution, AI cost management, and engineering performance tracking – without losing control.
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What sets Port AI Builder apart is that it already knows your domain and your organization.
Deep domain skills spanning SRE, DevOps, architecture, security, AI governance, data modeling, and UX are baked in, so it builds like a senior platform engineer from the first prompt. Through Port’s Context Lake, it knows each enterprise’s organizational context, tooling, and governance controls – producing solutions that fit your stack and processes and that run reliably from day one.
Inspired by Claude, Cursor, and Lovable, Port brings the speed and accessibility of vibe coding to platform engineering with the domain intelligence and context-aware development that modern software delivery demands.
The impact is immediate: Port AI Builder cuts time to value by eliminating the learning curve without risking quality. Teams build and customize SDLC agents faster, in natural language, instead of waiting on specialized expertise. Governance, standardization, and operational controls are built in from the start, so more engineers can contribute confidently without sacrificing reliability, visibility, or control.
“Prompt-driven development is moving from application code into platform engineering itself. Once engineers can define agentic workflows in plain language and run them across the lifecycle, the real differentiator becomes context and governance at scale. Port’s agent-based SDLC capabilities reflect this shift,” said Jim Mercer, Program Vice President, Software Development, DevOps, and DevSecOps at IDC.
SOURCE: PRNewswire