Staging environment

Diagnose Why Faster Coding Isn’t Faster Delivery

Hosted by Luis Vieira

Tue, Sep 22, 2026

4:00 PM UTC (30 minutes)

Virtual (Zoom)

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AI-Native Software Engineering: Ship More, Move Faster, Build with Confidence.
Luis Vieira
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What you'll learn

Find Your Delivery Bottleneck

Map the path from coding to release and understand where work spends the most time waiting

Use AI Agents Where They Matter Most

Learn how AI agents can accelerate a specific stage of the SDLC.

Turn Results Into a Learning Loop

Measure the impact of your intervention and use the evidence to decide what to improve next

Why this topic matters

AI coding tools can dramatically reduce implementation time, but faster coding rarely means faster delivery. Changes still wait in review, testing, validation, and release. This lesson reveals why optimizing coding alone quickly reaches a ceiling. You’ll learn to see delivery as a system, identify the constraint slowing it down, and use AI agents where they can make the biggest difference across the SDLC.

You'll learn from

Luis Vieira

Staff Engineer & Agentic AI Educator

I’m a Staff Engineer and educator, with over a decade of experience building production web applications and helping engineering teams improve how they work.

Since AI-assisted coding tools emerged, I’ve focused on what comes next: agentic engineering. My work explores how teams can move beyond individual productivity gains and design reliable systems where humans and AI collaborate across the software delivery lifecycle.

I teach workshops and courses, sharing production-grade approaches grounded in real world constraints. My goal is to help engineers turn AI experimentation into repeatable delivery outcomes.

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