The port heralds an AI Builder vibe code experience for platform engineering
NEW YORK – Port, an agent-based SDLC company, today announced Port AI Builder, the industry’s first built-in vibe coding experience designed for engineering and development teams. It allows teams to create and implement agent workflows using natural language, with human review in the loop and built-in approvals. This allows organizations to reliably deploy AI agents throughout the SDLC while maintaining control and visibility.
“AI is fundamentally changing the way software is built,” said Zohar Einy, Co-founder and CEO of Port. “Everyone is an architect now. Engineers and field teams alike want to build AI agents that eliminate effort, remove bottlenecks, and improve software delivery. Field teams need to enable developers across the organization to reliably contribute agents to the SDLC, on top of a context-aware, managed, and integrated foundation in their stack. Port delivers that.”
Port’s Agetic SDLC Platform already provides the content pool, workflow orchestration, agent management, and management businesses need to implement AI-SDLC. On that basis, the new AI Builder allows teams to create and run production-level agent workflows in minutes, to be used in situations such as autonomous maintenance, AI cost management, and engineering performance tracking – without losing control.
What makes Port AI Builder different is that it already knows your domain and your organization. Deep domain skills including SRE, DevOps, architecture, security, AI management, data modeling, and UX are baked in, so they are built as a top platform developer from the very beginning. And, with Port’s Context Lake, it knows each organization’s context, tools, and management controls – producing solutions that fit your stack and processes and work reliably from day one.
Inspired by Claude, Cursor, and Lovable, Port brings the speed and accessibility of vibe code to platform engineering with the domain intelligence and context-aware improvements required by modern software delivery.
The impact is fast: Port AI Builder reduces time to value by eliminating the learning curve without compromising quality. Teams build and customize SDLC agents quickly, in natural language, instead of waiting for specialized technology. Governance, configuration, and performance controls are built in from the start, so more developers can contribute with confidence without sacrificing reliability, visibility, or control.
“Rapid development moves from application code to the engineering of the platform itself. Once developers can define the agent’s workflow in simple language and execute it throughout the lifecycle, the real difference becomes context and high-level management. The SDLC capabilities based on port agents reflect this change,” said Jim Mercer, Vice President of Programs, Software Development, DevOps, and DevDcOps.
Port AI’s key capabilities include:
● Natural language development: Talk to Port AI’s developer to create, customize, and implement any Agentic SDLC workflow or platform development.
● Embedded expert knowledge: Pre-loaded with Port expertise across SRE, DevOps, architecture, AI governance, security, UX, and more, teams get top platform developer judgment right away.
● Context-aware development: Port AI Builder learns your services, teams, integrations, and business dependencies to build from the context of a real-time organization, delivering enhanced productivity solutions and tightly integrated with your stack from day one.
● Planning Mode: AI writes a plan, asks clarifying questions, and waits for approval before building. Plans are modified and saved for traceability and management.
● AI-assisted onboarding and platform operations: Purpose-built AI automates setup and ongoing management while maintaining governance and operational consistency.
● Open and invisible: Build natively in Port or connect existing agents – everything is managed and visible in one place.
The shift to AI-enabled software delivery is accelerating. Gartner projects that “by 2028, development teams actively using a suite of AI-enabled tools in the SDLC will achieve productivity gains of 25% to 30%,” and “the share of platform engineering teams using AI across all SDLC stages will grow from 5% to 40% by 2027”. Port AI Builder is designed for this change, turning more engineers into builders through intuitive, self-service information that enables an agency’s SDLC workflow at scale without sacrificing control.
Port AI Builder is available in free and paid subscriptions. Register here.
