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World Congress 2026 Europe - Virtual Stage • Jul 2, 2026 • Session details

Improving quality with Agentic AI with Rovo Dev and Xray

Sergio Freire

Stop letting AI assistants inject unchecked vulnerabilities into your codebase. Discover how Agentic AI orchestrates Rovo Dev and Xray to autonomously hunt security flaws right from your terminal.

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#1 about 5 min

Moving away from the linear software development mindset

Traditional linear workflows often lead to skipped testing and a narrow focus on functional correctness.

#2 about 3 min

Defining multidimensional quality in software development

Software quality encompasses usability, security, and maintainability which vary by context and user needs.

#3 about 4 min

Evaluating the flaws and benefits of AI code generation

While AI can introduce vulnerable dependencies, advanced agentic models can effectively uncover legacy security issues.

#4 about 5 min

Accelerating development with the RovoDev AI coding assistant

Integrating an AI coding assistant within the command line removes friction and provides comprehensive project insights.

#5 about 4 min

Utilizing memory, skills, and prompts in the RovoDev CLI

Storing project context and leveraging custom skills enables AI agents to query external tools without context switching.

#6 about 4 min

Integrating MCP servers for legacy tool connectivity

Connecting the AI CLI to generic MCP servers enables interaction with legacy GraphQL endpoints and external quality analysis tools.

#7 about 6 min

Assessing sprint requirement coverage from the terminal

Querying test management tools directly from the CLI reveals unaddressed sprint items based on actual test coverage.

#8 about 8 min

Automating feature implementation and GitHub pull requests

AI agents can draft API endpoints, write integration tests, execute test suites, and generate code reviews autonomously.

#9 about 6 min

Identifying vulnerabilities and automating Jira bug reports

Multiple AI sub-agents analyze code for security issues and automatically generate detailed tickets and system documentation.

#10 about 5 min

Organizing manual tests and visualizing code quality metrics

AI agents can reorganize existing manual test cases and generate interactive 3D maps to visualize code coverage.

#11 about 6 min

Best practices for applying AI to software engineering

Generative AI should augment human decision-making and generate reusable automation scripts rather than replacing engineers completely.

Matching moments

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann +2 · LIVE

5:16 min

Motivations for adopting AI to enhance developer productivity

3:21 min

Automating complete quality assurance pipelines with artificial intelligence

Evelyn Haslinger · LIVE

2:23 min

Scaling AI adoption across disconnected software quality assurance teams

Daria Rudnik Daria Rudnik · Europe 2026 Virtual

2:46 min

Building AI agents for software development life cycles

Shachar Azriel Shachar Azriel · WWC Europe 2026

4:25 min

Leveraging AI for development workflows and collaboration

Alexander Weißhaupt Alexander Weißhaupt +1 · WWC 2025

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