November 21st, 2025 by Kendra Stansel
Inflectra CEO Adam Sandman recently hosted an insightful webinar detailing a paradigm shift in software development: the transition to a truly AI-driven workflow using the combined power of Spira, Rapise, and Inflectra.ai. The session demonstrated how development and testing teams can leverage agentic AI to significantly boost velocity while simultaneously minimizing project risk.
Continue reading to view the key takeaways and watch the seamless workflow in action.
The core of the seamless Inflectra workflow hinges on AI Agents managing the software lifecycle, shifting human focus from tedious coding and manual testing to high-value activities like specification and risk analysis. The presentation detailed the three generations of AI enabling this shift, how specifications are replacing code, and the crucial role the Inflectra platform plays in the new development paradigm.
Full Recording
1. Requirements as the New Code
The industry is rapidly moving past "Vibe Coding" (throwaway apps from simple prompts) to "Spec-Driven Coding," where detailed requirements become the primary input for AI development agents (like Amazon Kiro).
This shift in focus reverses the traditional Agile manifesto:
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Machines will handle more of the coding and testing execution.
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Humans will focus more on defining the specifications, conducting risk management, and performing reviews (of requirements, code, and test reports).
To facilitate this, Inflectra.ai uses the EARS (Easy Requirement Syntax) standard to analyze and improve requirement quality, ensuring the AI agent receives a robust specification to build from.
2. Spira: The AI-Powered Project Management Hub
The demonstration began in Spira, where Inflectra.ai served as a powerful project assistant, automatically generating project artifacts and managing risk:
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Backlog Creation: From a single high-level feature description, Inflectra.ai generated a complete hierarchical backlog of detailed child requirements (user stories/use cases) and development tasks.
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Quality & Risk: The AI analyzed requirements against the EARS standard, suggesting improvements and automatically generating project risks with mitigation strategies.
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Testing Artifacts: Test cases and BDD-style Gherkin scenarios were instantly generated for the new requirements.
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Progress Analysis: The AI can analyze a release or sprint to provide an instant risk and progress summary, alerting the team if key metrics (e.g., test execution status, task completion) indicate a risk of schedule slippage.
3. The Seamless AI-Driven Workflow: Spira ↔ Kiro ↔ Rapise
The true power of the platform was shown when the Spira data was exported to a development agent, creating a full application ready for testing.
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Application Generation: Using MCP, the full project specification (requirements, tasks, test cases) was pulled from Spira into an agentic tool like Amazon Kiro.
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AI Builds the App: Kiro used the spec to generate the entire application (including all code and even unit tests) and launched it locally.
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Test Automation: In Rapise, the AI-generated manual test cases were imported directly from Spira.
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Rapise's Inflectra.ai was then used (the "magic wand") to convert the natural language steps into executable automated test code. The AI uses context to intelligently reuse existing objects and functions, promoting modular, maintainable code.
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The demo also highlighted the AI's ability to generate synthetic test data for scenarios requiring various inputs.
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Close the Loop: The automated test was executed, and the results (including success/failure status and screenshots) were automatically published back to Spira, providing instant traceability and risk validation for the project team.
Conclusion
The webinar demonstrated a clear path for development and testing teams to adopt a cohesive, AI-first toolchain. By leveraging Inflectra.ai across Spira and Rapise, organizations can automate the creation of project artifacts, accelerate application development via agentic coding, and instantly convert manual specifications into automated tests.
This approach ensures that as coding speed increases, the critical activities of specification, quality assurance, and risk management are handled intelligently, allowing teams to Maximize Velocity while Minimizing Risk.
Start Your Free Trial Today!
You can experience this seamless, AI-driven workflow for yourself. Inflectra offers a 30-day free trial of Spira and Rapise—100% unlocked product access, no credit card required.
Get started and see how Inflectra.ai can transform your software delivery pipeline!
