How the Integration Works:
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Spira’s Business Context: Anchors the software lifecycle by managing requirements, releases, risks, tests, and traceability.
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VibeFlow’s Engineering Context: Orchestrates specialized AI agents across Product, Architecture, Development, QA, and Security to turn intent into working code.
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Powered by Spira’s MCP Capabilities: Enables a continuous two-way flow where AI agents consume project context while keeping lifecycle artifacts aligned as development progresses.
Ready to move beyond isolated "vibe coding" and bring governance to your AI pipeline? Register for the live webinar to see the Spira and VibeFlow integration in action.
Event Details
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Tuesday, September 29th
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10AM (EDT) / 3PM (BST)
Agenda
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Unified Agentic Workflow: See how connecting Spira and VibeFlow bridges business intent, high-level requirements, and AI-driven development into a single governed pipeline.
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Live Multi-Agent Demo: Watch a step-by-step walk-through launching specialized AI engineering agents straight from your Spira context.
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Context-Driven Execution (via MCP): Learn how Spira’s Model Context Protocol feeds rich project knowledge to AI agents, eliminating lost-in-translation handoffs.
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Governance & Cost Controls: Explore built-in auditability for AI decisions while cutting token spend by 40% to 50%.
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Live Executive Q&A: Get direct answers to your technical and strategic questions from Inflectra and AxiomStudio leaders.
Why You Should Attend
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Stop Code Debt: Discover strategies to prevent Pull Request bottlenecks, messy code drops, and unmaintainable software.
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Deliver Production-Ready Code: Move past quick prototypes to build maintainable, version-2-ready codebases with automated guardrails.
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Close Communication Gaps: Eliminate lost-in-translation handoffs by seamlessly linking requirements, code, and test suites.
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Maintain 100% Compliance: Gain total visibility into every AI decision, prompt, code change, and approval without slowing down engineering momentum.
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Zero Friction Setup: Instantly add multi-agent AI execution into your workflow with no migrations or team retraining.
Who Should Attend
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Product Managers & Owners: Generate fine-grained, testable requirements and map them directly into Spira backlogs.
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Engineering Leads & Developers: Scale AI development safely without sacrificing codebase maintainability or adding review delays.
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QA Managers & Quality Teams: Ensure AI-generated requirements are structured for immediate test creation and full traceability.
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Executives & Compliance Officers: Enforce enterprise AI governance, ensure auditability, and optimize token spend across teams.
Can't Wait for the Webinar? Start Today!
You don't need to wait for the event to explore the power of an AI-native SDLC: