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[Conference recap]
GDG DevFest Toronto: AI, mobile, and cloud takeaways
A weekend of talks and workshops that sparked practical ideas for LLM prototyping, mobile reliability, and team enablement.
- Format
- Conference recap
- Location
- Toronto
- Focus
- AI, mobile, and cloud delivery
[01]
Quick highlights
- LLM-assisted prototyping works when paired with guardrails and real data checks.
- Mobile-first delivery needs explicit performance budgets and offline behavior.
- Enablement beats hype: talks should become playbooks teams can run next week.
[02]
Sessions that stuck
Building AI features responsibly
Guardrails, evals, and user education matter more than novelty.
AI / Responsible AIModern Android & Flutter UX
Motion, accessibility, and state discipline keep mobile experiences trustworthy.
Mobile / UICloud-native delivery
Smaller services and clear SLIs improve post-release learning loops.
Cloud / Delivery[03]
What I am applying
- Run one-week LLM spikes for onboarding drafts, then validate before rollout.
- Add mobile performance budgets and low-bandwidth tests before release.
- Package launch learnings into Loom + checklist + rollback notes.
[04]
Scenes from DevFest
Rebuilding My Portfolio: A Blend of Creativity, Code, and Continuous Iteration
