25+ years in software development

Navigate the AI Era
with Confidence

Honest career guidance for university students and aspiring developers from someone who's seen the industry transform—multiple times.

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What I Wish Someone Had Told Me

Six principles that matter more than any specific technology or trend

01

Master the Fundamentals

Algorithms, data structures, and problem-solving transcend any framework or language. These foundations have remained constant for decades—and will continue to be valuable as AI reshapes how we write code.

02

Work With AI, Not Against It

AI tools are your collaborators, not competitors. Learn to prompt effectively, validate AI outputs critically, and understand when to rely on AI versus when your expertise matters most. This skill will define the next generation of developers.

03

Develop Your Soft Skills

Communication, collaboration, and adaptability aren't "nice to haves"—they're essential. The best code means nothing if you can't explain it, work with others, or adjust when requirements inevitably change.

04

Build Real Projects

Your portfolio speaks louder than any credential. Ship projects—even imperfect ones. Deploy something real. Contribute to open source. The gap between "knowing" and "doing" is where most aspiring developers get stuck.

05

Embrace Continuous Learning

The technologies I used when I started are largely obsolete. What matters is learning how to learn. Cultivate curiosity, stay humble about what you don't know, and accept that reinvention is part of this career.

06

Understand AI/ML Basics

Regardless of your specialization, understanding how machine learning works—at least conceptually—is becoming non-negotiable. You don't need a PhD, but you do need literacy in what AI can and cannot do.

Choosing Your Direction

Each path has its strengths—your choice should align with your interests and how you like to solve problems

Field of Study Core Focus Math Intensity HW/SW Balance AI-Readiness Job Outlook Typical Careers
🧮 Computer Science
Theory, algorithms, computational thinking
Software-heavy Excellent Strong
Software Engineer ML Engineer Researcher
Computer Engineering
Hardware-software integration, systems
Balanced High Strong
Embedded Systems Hardware Engineer IoT Developer
🔧 Software Engineering
Building reliable, scalable software systems
Software-heavy High Strong
Full-Stack Dev DevOps Tech Lead
🛡️ Cybersecurity
Protecting systems, threat analysis
Software-heavy Growing Very Strong
Security Analyst Pen Tester CISO
🖥️ Information Technology
Business systems, infrastructure, support
Balanced Moderate Stable
IT Manager Sys Admin Cloud Architect
🤖 Data Science / AI
Statistical analysis, machine learning, AI
Software-heavy Native Booming
Data Scientist AI Researcher ML Ops
🧮
Computer Science
Core Focus Theory, algorithms, computational thinking
Math Intensity
HW/SW Balance Software-heavy
AI-Readiness Excellent
Job Outlook Strong
Typical Careers
Software EngineerML EngineerResearcher
Computer Engineering
Core Focus Hardware-software integration, systems
Math Intensity
HW/SW Balance Balanced
AI-Readiness High
Job Outlook Strong
Typical Careers
Embedded SystemsHardware EngineerIoT Developer
🔧
Software Engineering
Core Focus Building reliable, scalable software systems
Math Intensity
HW/SW Balance Software-heavy
AI-Readiness High
Job Outlook Strong
Typical Careers
Full-Stack DevDevOpsTech Lead
🛡️
Cybersecurity
Core Focus Protecting systems, threat analysis
Math Intensity
HW/SW Balance Software-heavy
AI-Readiness Growing
Job Outlook Very Strong
Typical Careers
Security AnalystPen TesterCISO
🖥️
Information Technology
Core Focus Business systems, infrastructure, support
Math Intensity
HW/SW Balance Balanced
AI-Readiness Moderate
Job Outlook Stable
Typical Careers
IT ManagerSys AdminCloud Architect
🤖
Data Science / AI
Core Focus Statistical analysis, machine learning, AI
Math Intensity
HW/SW Balance Software-heavy
AI-Readiness Native
Job Outlook Booming
Typical Careers
Data ScientistAI ResearcherML Ops
The best developers I've worked with aren't the ones who knew everything—they're the ones who never stopped being curious and never stopped building.
MO
Michaelou
25+ Years in Software Development

Ready to Start Your Journey?

The tech industry will keep evolving. The question isn't whether AI will change things—it's whether you'll be ready. Start with the fundamentals, stay curious, and keep building.