State of the Art of AI Tools in Micro-Frontend Architectures • Luca Mezzalira • GOTO 2025

The talk provides a valuable practitioner’s perspective on integrating AI tools into micro-frontend development. Mezzalira’s expertise is evident, and he offers concrete, actionable advice, particularly on context engineering and iterative prompting. The distinction between components and micro-frontends is well-articulated and serves as a foundation for the discussion. The decision framework for micro-frontend architecture is a useful contribution, though it is not novel, as it has been published in his book and articles. The talk’s strength lies in its practical orientation, but it lacks rigorous scientific grounding: there are no empirical studies, benchmarks, or formal evaluations of the AI tools discussed. The advice is based on anecdotal experience and personal opinion, which is acceptable for a conference talk but limits its generalizability. The speaker does not cite specific sources or research, relying instead on his own authority. The adéquation between title and content is good, as the talk indeed covers the state of the art of AI tools in micro-frontends, though the ‘state of the art’ is presented through a personal lens rather than a comprehensive survey. The talk would benefit from more concrete examples and possibly a comparison of different AI tools. The Q&A segment adds value by addressing audience concerns, but the overall scientific rigor is moderate. The talk is more of an expert opinion than a research presentation, which is appropriate for the venue. The speaker’s advice to document context and iterate is sound and aligns with current best practices in AI-assisted development. However, the lack of references to supporting literature or case studies weakens the credibility. The talk is informative and engaging, but it does not break new ground. The note of 4 out of 5 reflects its practical utility and expert insight, tempered by the absence of empirical evidence and formal sources.

The title accurately reflects the content: the talk focuses on the current state of AI tools in micro-frontend architectures, offering practical tips and insights.

7/10

The speaker is a recognized expert in micro-frontends, with practical experience and published work. The talk provides practical advice and references to tools and concepts, but lacks formal citations or empirical evidence. The content is opinion-based and reflects personal experience, which is valuable but not rigorously scientific.

Markers derived by PSI from the transcript: the creator did not define chapters.

• 02:00Introduction: AI as augmenting tool, not replacement.
• 05:00Definition of micro-frontends vs components.
• 08:00Three dimensions: architecture, organization, culture.
• 10:00Software development lifecycle and context engineering.
• 12:00Tip 1: Context engineering with markdown files.
• 15:00Decision framework for micro-frontends.
• 18:00Tip 2: Iterative development with AI.
• 21:00Using AI for code review and testing.
• 24:00Q&A: AI limitations and future trends.

• GOTO State of the Art — Conference website where the talk was recorded.
• Full transcription of this interview — Article containing the full transcription of the talk.
• Building Micro-Frontends — Author's website for his book on micro-frontends.
• Luca Mezzalira on LinkedIn — Author's professional profile.
• GOTO Conferences on LinkedIn — Conference organizer's LinkedIn page.
• GOTO Conferences on Bluesky — Conference organizer's Bluesky profile.
• GOTO Conferences YouTube Channel — Channel subscription link.
• GOTO Newsletter — Newsletter signup for GOTO updates.

• Micro Frontends — Martin Fowler's article on micro-frontends, which aligns with the talk's definition and benefits.
• Module Federation — Webpack documentation on Module Federation, a technique mentioned in the talk for composition.

• No discordant sources found — The talk does not contradict established sources; it aligns with common practices in micro-frontend architecture.