Luis Vieira

Understand microfrontends use-cases, patterns and trade-offs 

Microfrontends Patterns and trade-offs 

Agentic Engineering 1

Cohort 1

Staff Software Engineer

Staff engineer

Your team adopted AI. Delivery speed barely moved.  Here's why:

Most engineering teams adopting AI coding tools see a quick win: writing code speeds up, number of commits and pull requests go up. But that hits a ceiling fast. Cycle time barely moves, throughput doesn't 10x as promised, and often, things actually get worse, code piles up in review, releases grow bigger and more issues reach production.The reason for this is that writing code is just one part of the job. The real constraints now sit everywhere around the act of writing code:-Requirements clarification and task decomposition-Code review-Testing and validation-Deployment and release This workshop will shift your mental model from using AI as just a coding assistant, to understanding and implementing autonomous agents across the full SDLC, with verification, guardrails, and improvement loops. You'll learn to encode your team's way of working, make agent output verifiable, and build feedback loops that improve the system over time.You'll leave with patterns and examples based on real use cases you can apply to your team's workflow immediately. A faster engine doesn't help if half the road is blocked. The most important work now isn't improving the engine, it's clearing the road.

Go from using AI as a coding assistant to designing agentic workflows across the full SDLC.

Understand the developers new job

Identify bottlenecks and integrate agents across the SDLC

Build improvement loops

Software engineers using AI coding tools who want to design autonomous agentic workflows can help them move faster

Tech leads and engineering managers who want to understand how to increase engineering output using AI

Engineering leaders who adopted AI tools but aren't seeing it in delivery speed or business outcomes and want to understand why and fix it

Learn directly from Luis Vieira

Luis Vieira

Workshops

Beyond AI-Assisted Coding: Engineering the AI-Powered SDLC