Lisbon AI 2026: agents, evals and security
My notes from all 32 talks at Lisbon AI 2026, with the demos, the numbers and the audience questions.
I'm a Principal Engineer and I've been doing front-end for 19 years, building fast web and mobile apps. These days almost everything I do involves AI: I build agent harnesses, handle orchestration and write the tooling that makes coding agents reliable.
I work on React and Node.js architecture, performance and observability, and on agentic development: skills, evals and orchestration across Claude Code, Cursor, Codex and Gemini CLI. I also care about accessibility and design systems, so the interface works for everyone.
Outside work, I mentor, pair program and contribute to open source, including AI and agent tooling projects.

Principal Engineer
Stone Giant Studio
2023 - Present
Principal Engineer
Grupo Boticário
2021 - 2023
Head of Technology
Beleza na Web
2015 - 2020
React / Typescript
React Router / Remix / Node.js
Tailwind CSS
Performance Optimization
AI Agents / Orchestration
Design Systems
Accessibility (a11y)
My notes from all 32 talks at Lisbon AI 2026, with the demos, the numbers and the audience questions.
I migrated a site that already scored 100 on PageSpeed to StyleX, measured the result, and found the real performance win somewhere else.
Stone Giant Studio's internal skills for AI coding agents are now public - markdown files, no dependencies, portable across Claude Code, Cursor, Codex and Gemini CLI.
We took a storefront from 15s to 3s on throttled 3G and conversion went up 45%. What to measure, where the time really goes, and why the biggest wins are usually deletions.
Common interview questions and answers about frontend architecture, performance, security, and interpersonal skills
Practical strategies to maintain focus and discipline during learning

Condominium management, with issue tracking and an AI assistant grounded in the condominium's data.

Pulls tasks, decisions and deadlines out of conversations, with owners, due dates and a trail back to the source.

Human-in-the-loop review for AI-generated database changes, checking impact and standards before they ship.