Build your AI Moat as Software Developer in 2026

Hosted by Carmelo Iaria and Daniel Adornes

Mon, Nov 17, 2025

4:00 PM UTC (30 minutes)

Virtual (Zoom)

Free to join

Invite your network

Go deeper with a course

Mastering Multiagent AI Systems with CrewAI
Carmelo Iaria
View syllabus

What you'll learn

Think Like an Agentic Architect

Shift from coding tasks to orchestrating AI systems that amplify your impact.

Build Your AI Moat

Discover how to design skills and systems that keep you competitive in 2026.

Orchestrate Human‑AI Collaboration

Learn frameworks to blend AI agents and human creativity for scalable results.

Why this topic matters

AI is reshaping software development, automating tasks once considered core skills. To stay competitive, developers must shift from coding faster to designing smarter—building systems that orchestrate AI agents and amplify human creativity. This lesson shows how to future‑proof your career by building your unique AI moat in 2026.

You'll learn from

Carmelo Iaria

CEO at Synaptic AI Consulting | Perplexity Business Fellow

AI strategy leader and technology innovator with 30+ years’ global experience spanning Silicon Valley, Europe, and Brazil. Former Head of Innovation at Claro Brasil and Product Management leader at Cisco; founder of Synaptic and The AI Academy. Expert in building and deploying real-world AI solutions for Fortune 500s and high-growth startups. Passionate about bridging business and technology, I empower professionals to master the entire AI lifecycle—turning ideas into working products that deliver measurable impact

Daniel Adornes

Daniel Adornes is a highly skilled Technical Support Engineer currently working at Anysphere (builder of Cursor), with previous experience at Tecton and Zip Co in roles related to machine learning and data engineering. Based in Florianópolis, Brazil, Daniel holds a Master’s degree in Computer Science from Pontifícia Universidade Católica do Rio Grande do Sul and earned a Corporate Innovation Certificate from Stanford Graduate School of Business. He has developed ML Ops platforms, feature stores, REST APIs, and robust data pipelines, mainly with Python, PySpark, Docker, and Kubernetes. Known for his leadership on banking technology projects at Sicredi and numerous certifications in MLOps and data science, Daniel is also an active volunteer teaching assistant and contributor to academic publications in grid computing and distributed systems. Fluent in English and Spanish, Daniel demonstrates a passion for innovation and community learning.

Previously at

Cisco
Claro Brasil
Pearson
Anysphere

Sign up to join this lesson

By continuing, you agree to Maven's Terms and Privacy Policy.