AI & Software Engineering

My background started with PHP and Java back in 2011. Afterwards, I completely stepped away from technology to run businesses for over a decade. For more than ten years without typing a single line of code as technology evolved at breakneck speed, I was a complete outsider. When modern AI emerged, I stepped back in — and the wonder was that I never felt left behind.

Pause and invite a show of hands across the room: who has used AI for homework or capstone projects? Who gave up halfway because it hallucinated wrong answers? Who uses it daily? Invite 2 people to share for 30 seconds about their most disappointing AI moment — use that exact example to dissect their prompt engineering later. Note down their names on the whiteboard.

The sentence I hear most often from students and freshers: "I tried ChatGPT, its answers were naive, its code was completely broken so I stopped." The truth: AI isn't dumb. Whether AI appears brilliant or naive directly mirrors the competence and context provided by the questioner. Ambiguous prompt yields naive output. AI is like a 1000-hp supercar — the issue lies not with the vehicle, but with the driver.

No abstract theory — look at today's event itself. The decision to host this talk was made at 18:30 last evening. By 22:30, exactly 4 hours later, the entire campaign materials, script, 20-candidate screening form, website blueprint, and this presentation deck were completed. The legacy workflow demanded copywriters, designers, developers, and project planners working across days. With AI, turnaround collapsed tenfold.

Many tell me: I don't know Python, haven't learned this framework, IoT feels too intimidating. Look at me — I didn't know modern Python, yet through AI I architect Python, master IoT devices, and deploy modern infrastructure. Syntax errors, boilerplate, library quirks are handled by AI. What I need is logical thinking, first-principles understanding, and knowing what to construct. Only one barrier remains: do you genuinely want to build?

This is the centerpiece interaction of the session. Invite an attendee to share their favorite app idea — something they always wanted to build. The room summarizes it in 3 sentences: target user, core solution, first screen look. I formulate the prompt on my machine, hit run, and let the AI generate in the background while we continue our talk. We'll return to inspect the live build in later slides.

Provocative question to spark active discussion: With AI writing code effortlessly at superhuman speed, what happens to traditional software engineering and CS degrees? Why do we study? Don't answer immediately; let 2–3 students voice their perspectives first.

Settling the debate: AI won't steal engineering jobs. But practitioners who wield AI effectively will decisively outperform and replace those who resist it. Deliver this statement slowly and let it settle.

Deep-dive into each bullet: AI excels at modular, isolated tasks, but CANNOT architect holistic distributed systems. It lacks deep critical thinking and cannot reliably validate its own truth. Most critically, it lacks owner intent — understanding why a product must be built. AI remains an extraordinary tool for execution, not vision.

Will software continue having complex bloated menus, or collapse into conversational intent interfaces? Ask the room: where has practical AI deployment reached today in our businesses? Where do our biggest opportunities and bottlenecks lie?

The backstory behind founding AIDo: when I returned to hands-on AI, I yearned for fellow companions. Peers in major hubs told me: you won't find real AI builders in Quy Nhon. The hurdle was circumstantial: lack of mentors, lack of battle-tested environment. Looking back at old classmates who had average grades back then — today they are standout domain leaders. Academic grades don't dictate destiny; genuine passion does. I believe Quy Nhon has passionate talent waiting for the right sandbox.

I build, experiment, battle, and partner with AI every single day. My desire is to share, mentor, and foster a real-world sandbox with actual partner problems, welcoming every bold idea. To be explicit: I am not an academic theorist. I use proven field experience to guide your learning framework, production tactics, and steer you away from painful pitfalls.

There is a dangerous mindset trap: watching cool AI demos daily, consuming endless tech newsletters, feeling thrilled during presentations — yet never writing code yourself. AI is never absorbed through passive observation. You must roll up your sleeves: formulate prompts, hit errors, debug, and ship small utilities. That is when the WOW moment ignites — discovering your own latent creative agency.

Alongside outer technical tooling, cultivating inner balance is vital. Do not pressure yourself to master AI overnight, nor feel inadequate seeing elaborate demos online. What matters is tangible forward progress every single day. Even 0.1% — formulating a sharper prompt today, mastering a CLI concept tomorrow — is genuine triumph. That compounding growth gives someone returning to tech after 10 years the confidence to stand here today.

How do you help me in return? I bring seasoned business and architecture experience. But with youthful vigor, curiosity, and boundless stamina, you will dive faster and deeper into emerging edges than I can track alone. This mutual synergy is how we build impactful products and match the velocity of our era.

Defining AIDo: harnessing AI technology to solve real-world human challenges with intelligence and high efficiency, while maintaining inner peace and serenity — mirroring the relaxed spirit of Duyen Quo where we gather today. Call to action: To be an AIDo builder, genius is not required. Only these four core pillars. If they resonate with you, we are teammates.

Switch back to screen: open the working application AI built from the attendee's earlier prompt. Invite the person up to click and test live before the room. Ask candidly: what feels off? Iterate immediately so everyone witnesses the genuine product development loop with AI. Reiterate turnaround time versus traditional roadmaps.

We are actively digitizing enterprise operations. Building specialized AI-powered tooling creates vast opportunities across multiple industries. Key focus areas: AI automating complex reporting pipelines, next-gen ergonomic software, and automated operational orchestration. Limitless potential, executed with disciplined stage-by-stage focus.

Stage 1: Free self- and cross-training on real projects and tools; successful deliverables earn cash bonuses. Stage 2: Embedded in real project squads with competitive market salaries, full lifecycle building and testing. Why not startup right away? Because we need a supportive cocoon to grow — resources, mentorship, and safety nets to absorb mistakes before venturing into open waters. Stage 3: Project reaches maturity and spin-off. When ready, co-founders can spin out an independent entity owning the codebase, with company partner backing.

Special offer for 3rd and 4th-year university students: instead of academic projects relegated to dusty shelves or repetitive CRUD templates, I offer dedicated thesis mentorship grounded in real enterprise problems. When you graduate, you hold not just a diploma, but a live product with real users.

Heartfelt gratitude to everyone for dedicating your weekend afternoon to sit, listen, and converse with me. Reaffirming our core mission: I am here to share knowledge and experience, and more importantly, to learn and build alongside you. Call to action: if the AIDo spirit resonates, scan the QR code to join our ranks. Now, let's grab snacks, raise our glasses, relax, and chat freely!