Carmelo Iaria

Cohort 1

Cohort 2

Cohort 5

Cohort 4

Cohort 3

A FREE guided, hands-on introduction to AAMAD and the Agentic Architect mindset Take the course on&nbsp;GitHub Pages&nbsp;to track your progress, submit answers, and receive your completion certificate! Who This Is For Target learner:&nbsp;Mid/senior software engineer who senses “AI is changing my job” and wants a&nbsp;systematic way&nbsp;to work with agents, not just vibe-code prompts. Promise:&nbsp;In 4–6 hours, go from random AI coding to a repeatable 3-phase method (Define–Build–Deliver) using&nbsp;AAMAD, with one small but real multi-agent outcome shipped.

Agentic Architect Fundamentals

As Anthropic has recently demonstrated, AI Coding is dramatically changing Software Development Life Cycle (SDLC). In this paper I share the 4 patterns I see unfolding in early 2026 that will impact how Software Development roles are changing: <ul><li>Pattern 1 — Vibe Coding</li><li>Pattern 2 — AI Assisted SDLC</li><li>Pattern 3 — Agentic Architect SDLC</li><li>Pattern 4 — Agentic Architect VDLC</li></ul> The most important insight: Speed without coordination is the new technical debt.

THE FOUR PATTERNS OF AGENTIC SDLC EVOLUTION

Top-performing teams complete tasks 55% faster by balancing three layers: the&nbsp;Model Layer&nbsp;(foundation with smart model routing to cut costs), the&nbsp;Agentic Layer&nbsp;(orchestration using proactive multi-agent systems for planning and debugging), and the&nbsp;Context Layer&nbsp;(competitive advantage through context engineering as models become commodities). In this article I go provide a description of the latest technology advances in each layer and direction on how to leverage them together to ensure quality and governance move together with speed of coding.

The Three-Layers Framework for Agentic Code Quality

The software industry is undergoing a fundamental shift. We are moving from an era where value was derived from individual task execution (coding) to one where value is generated through systemic orchestration. This playbook defines the role of the Agentic Architect—the professional who ensures organizations don’t just produce more code, but deliver more impact.

The Agentic Architect Playbook

Lightning Lesson 5 focuses on building **production-ready observability** for CrewAI multi-agent systems. The lesson pairs two runnable demos that students can explore locally to understand how tracing and metrics unlock faster debugging and actionable insights.

CrewAI Lightning Lesson Series - LL5

Most HITL implementations are basic approve/reject workflows that waste human expertise. Master sophisticated human-AI collaboration patterns where feedback becomes learning data, and you'll build systems that amplify human intelligence rather than bottleneck it. This elevates you from building simple chatbots to designing transformative business automation.

CrewAI Lightning Lesson Series - LL4

Master advanced memory architecture and you'll build agents that actually learn from interactions, remember context across sessions, and scale to enterprise workloads.

CrewAI Lightning Lesson Series - LL3

Master advanced prompt engineering and persona architecture, and you'll build agents with consistent, professional personalities that adapt to different collaboration contexts.&nbsp;

CrewAI Lightning Lesson Series - LL2

Slides used during Lightning Lesson #1 where I've shared a framework to master the strategic choice between autonomous agents and controlled workflows.&nbsp;

CrewAI Lightning Lesson Series - LL1

What if the future of building complex products isn’t about being the fastest coder, but about orchestrating a team of specialized AI agents—where your value lies in design, coordination, and vision, not just in the code you write? In this article I share some of my learning from building Agentic AI applications for enterprise clients and a link to a practical framework that will allow you to maintain the Agency required to preserve the economic and contextual value of YOUR work.

The Rise of the Agentic Architect

Build your Multi-agent AI application in 6 weeks with Cursor and CrewAI—and leave as an Agentic Architect who orchestrates agents.

Agentic Architect, Pearson SME, ex-Cisco

Agentic Architect, Pearson SME, Startup Founder, 30 years of global experience

Become an Agentic Architect

AI Enthusiasm

Senior iOS Engineer

Founder

Director

Cisco

Claro Brasil

Pearson

O'Reilly

This course is what you need to stay relevant—and protect your career.In 2026, engineering value is shifting from task execution to orchestration and systems thinking. Anthropic’s research shows that being a software engineer increasingly means orchestrating agents that write code, evaluating their output, and ensuring the system solves the right problems—not just writing more code yourself. The gap between early adopters and everyone else is widening fast.This project-based course puts you on the right side of that shift. You’ll use CrewAI and the AAMAD framework to design, build, and deploy a production-ready multi-agent AI application—with a real Capstone Project and live coaching. No empty theory, no “vibe coding” without structure: you’ll learn the coordination and context-engineering discipline that keeps systems reliable and your role indispensable.Top 2 trending Engineering course on Maven in February.NOTE: promoCode "EARLYBIRD" will give you 20% discount if you enroll by March 31st

Software development is moving from writing code to orchestrating agents.

Define a solid foundation with clear research and project scope

Architect your complete multiagent solution — from roles to workflows

Design and build a production-ready Agentic AI Application

Define and configure your multiagent crew — from backend logic to integrations

Add enterprise-level quality: integrate human feedback, observability, and QA

Deploy, validate, and present your final Capstone solution with confidence

More than 5 years of experience as engineer or AI developer | Intermediate knowledge of Python

Experience & Background

Basic knowledge of API/web service
GitHub and AWS (or similar cloud) account

APIs & Cloud Platforms

CursorAI (Pro recommended), OpenAI API access ($20+ in credits), GitHub Account, AWS access (recommended)

Required Tools & Access

Software developers and engineers who see AI reshaping their role and want to move from implementer to orchestrator.

Tech leads and engineering managers who need to ship production-grade agent systems and who are already the “glue” between teams and agents.

AI/ML engineers and consultants who want to escape task-level work and sell enterprise-grade, orchestrated solutions.

You'll ship a CrewAI crew, a PRD agents run on, and the confidence to shift from coder to Agentic Architect

Carmelo Iaria 

The industry is shifting from writing code to orchestrating agents that write code. Anthropic's research shows it clearly. But most engineers are still stuck in coding mode: they prompt, they debug, they patch. The agents misbehave. The architecture feels wrong. And they have no one to show them how to design and coordinate systems instead of hand-coding every fix. In this cohort, you stop coding and start orchestrating. You'll define a PRD that agents can execute on. You'll configure a CrewAI crew - roles, tasks, tools - and get live debugging when things break. You'll get architecture review before you scale. You'll apply the framework to your actual use case, with coaching in real time. Unlike self-paced tutorials, you build with me in the room. Hot seats. Live debugging. The Define-Build-Deliver framework applied systematically - not tips, but a proven method. I've spent 30 years building systems that scale (Cisco, Claro, Pearson) and now train engineers to orchestrate agents instead of writing code alone. When you hit a wall, we fix it together.-&gt; Two Saturdays. Four hours live. The shift from coder to orchestrator.

Stop Coding - Start Orchestrating AI Agents

Adopt the Agentic Architect mindset

Run the Define phase: scope, PRD, context setup

Run the Build phase: multi-agent crew with CrewAI

Run the Deliver phase: simulate deployment and monitoring

Ship a real multi-agent app end-to-end

Tech leads and engineering managers who need to ship production-grade agent systems and who are already the "glue" between teams and agents

AI/ML engineers and consultants who want to escape task-level work and sell enterprise-grade, orchestrated solutions

From Vibe Coder to Agentic Architect (Live Demo)

AI Builder | Pearson SME | ex-Cisco

Define what agents can and cannot do in your project—works across Cursor, Claude, and GitHub Copilot.

Encode governance as code with project rules

Create specialized personas and skills that enforce clear execution boundaries for your agents.

Define agent personas and skills with single responsibility

Build pattern library entries that make security and compliance constraints executable.

Turn business rules into machine-readable context patterns

Scale Human Oversight of AI Agent Swarms

Why HITL, HOTL, and full autonomy all fail at scale—and what replaces them

Understand the Challenge

Intent, stigmergic coordination, exception review

Learn the three-layer ASO architecture

See 𝗔𝗿𝗴𝘂𝘀 (a Cursor-ready implementation) in action: constraint envelopes, exception triggers, trust thresholds.

Learn how to build this in Cursor

Launch a Production Agentic Application

Use a scoring framework to pick a first project that is low-risk but highly visible.

Select a high-value use case

Follow a week-by-week execution plan to move from assessment to production deployment.

Build a 90-day roadmap

Identify and sidestep the "over-automation" and "tool proliferation" traps that kill projects.

Avoid common pilot pitfalls

Build your Agentic Work Crew (for Non-Technical jobs)

From chat to delegation, why this changes everything

Understand the Paradigm Shift

The 4-step architecture method that works for ANY job

Apply a Systematic Framework

Leave with a concrete 7-day plan to build your own workspace

Get an Implementation Guide

Quantify the ROI of your Agentic Solution

Use a proven formula to measure cost savings, velocity gains, and revenue impact.

Calculate agent ROI

Quantify impact across productivity, quality, scalability, risk mitigation, and strategy.

Measure 5 value dimensions

Structure a business case that secures executive buy-in and budget for your initiatives.

Pitch to stakeholders

Engineer Effective Context Systems

Keep agents in the "Smart Zone" (<40% utilization) to maintain high accuracy and speed.

Prevent context overflow

Deploy Research-Plan-Implement patterns to separate context-heavy tasks from execution.

Implement RPI workflows

Design self-contained context files that allow agents to function without full conversation history.

Learn directly from Carmelo Iaria

Carmelo Iaria

Courses

Become an Agentic Architect

Agentic Architect 101

Lightning Lessons

From Vibe Coder to Agentic Architect (Live Demo)

Scale Human Oversight of AI Agent Swarms

Launch a Production Agentic Application

Build your Agentic Work Crew (for Non-Technical jobs)

Quantify the ROI of your Agentic Solution

Engineer Effective Context Systems

Resources

Agentic Architect Fundamentals

THE FOUR PATTERNS OF AGENTIC SDLC EVOLUTION

The Three-Layers Framework for Agentic Code Quality

The Agentic Architect Playbook