Author

Ricardo Britto

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Review Sep 2026

Using Agentic AI for contextualized and multifaceted code review at Ericsson

Context: Conducting effective code reviews is increasingly challenging due to the growing complexity of software systems and the accelerated code generation by AI coding agents. LLM-based approaches for code reviews have shown promising results in identifying defects and improving code quality. However, existing approa...

M. Laiq, Ricardo Britto, Muhammad Usman et al. · 0 citations

Preprint Aug 2026

Towards Assurance Closure in AI-Native Large-Scale Agile Software Development

Six residual gaps in making the surrounding assurance reasoning sufficiently machine-operable are identified, a high-level architecture with six corresponding capabilities built on a shared semantic assurance layer is proposed, and four research questions are formulated to turn that architecture into dependable, human-...

Ricardo Britto · 0 citations