Nguyen Le PhongNguyen Le Phong
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AI & The Future

Making sense of AI — from context engineering to building reliable, production-ready AI products.

Practical, developer-focused writing on artificial intelligence: how to get great results from AI tools, understand how language models actually work, build reliable AI-powered products, and navigate the fast-moving landscape of LLMs, agents, and context engineering. Written for engineers who want to work smarter with AI — not just follow the hype.

AI & The Future

Cognitive Debt in AI-Assisted Development: When Code Grows Faster Than Understanding

AI coding tools can make a team produce code faster than it can understand, review, debug, and safely operate that code. This article explains cognitive debt, how it differs from technical debt and intent debt, why agentic coding makes it more visible, and the practical controls teams can use: smaller batches, better PR rationale, human-owned invariants, disposable prototypes, and AI used to repay understanding instead of only generating more work.

15 min read
AI & The Future

Your Fear of AI Is the Size of Your Ambition: Why It’s Time to Aim Dramatically Bigger

Two people can look at the same AI breakthrough and feel opposite things — terror or fuel — and the difference reveals something uncomfortable: our fear of the future is roughly the size of our ambition. If your plan is to keep doing exactly what you do, a machine that does it cheaper is frightening. If your plan is to build something dramatically bigger, it’s the best news you’ve ever gotten. This is a clear, energising case for retiring “don’t boil the ocean,” trading the 1.05x present for the 10x future, and why — through ephemeralization and the Jevons paradox — raising your ambitions tends to create more, not less.

11 min read
AI & The Future

From SDLC to ADLC: How AI Agents Are Rewriting the Software Development Lifecycle

Software development is going through its biggest shift since the graphical interface. The phases engineers once ran by hand — planning, coding, testing, deployment — are increasingly executed by AI agents working in parallel. This is a clear, visual guide to the move from the classic SDLC to the emerging ADLC (Agentic Development Life Cycle): the two lifecycles drawn side by side, the six concrete shifts happening right now, what the early numbers suggest, what it actually means for an engineer’s day-to-day, and five low-risk best practices to start moving faster — without handing over the judgment that still has to be yours.

15 min read
AI & The Future

AI Agents, Explained Without the Hype: What They Are, How They Work, and What They Can Do for You

Everyone is suddenly talking about “AI agents” — software that doesn’t just answer your questions but actually goes off and does the work. But what is an agent really, how is it different from the chatbot you already use, and where does it genuinely help versus quietly create a mess? This is a friendly, jargon-light guide for everyone, tech or not: the simple loop every agent runs, the five ingredients that make one, the levels of autonomy from co-pilot to auto-pilot, down-to-earth examples at the office and at home, the failure modes to watch for, and a concrete way to put your first useful agent to work this week.

17 min read
AI & The Future

From Prompts to Workflows: Designing AI Workflows That Save You Hours Every Week

Most people use AI one question at a time — and leave most of its value on the table. The real leverage isn’t a clever prompt; it’s a repeatable AI workflow: a small chain of steps you design once and reuse forever, turning a recurring two-hour chore into a two-minute review. This is a practical, example-rich guide for everyone, tech or not: the difference between a prompt and a workflow, the simple anatomy every workflow shares, ready-to-steal workflows for the office and for everyday life, the three levels from manual to fully automatic, a six-step way to design your own, and a back-of-the-envelope way to prove the time you’re actually saving.

18 min read
AI & The Future

The AI Trends Worth Your Attention in 2026 — and How to Turn Them Into Real Value

Every week brings another “this changes everything” AI headline, and it’s exhausting trying to tell the signal from the noise. This is a calm, grounded tour of the AI trends that genuinely matter in 2026 — agentic AI, multimodal, AI baked into the apps you already use, on-device intelligence, and the rise of judgment and verification as the human edge — paired with the part most articles skip: a practical framework for turning any trend into actual value in your work and life. You’ll get a hype-vs-value filter, the value ladder, a simple value equation, a worked example, and a 30-day plan — so you can stop chasing news and start compounding benefit.

18 min read
AI & The Future

AI Is Rewiring Every Software Role: How Thinking Changes for BA, PO, PM, Dev, QA and Beyond

AI isn't just a faster tool bolted onto how we build software — it's quietly moving the center of gravity of every role. The work that used to define a BA, PO, PM, developer, or QA engineer is being automated from the bottom up, and what remains is a different job built on judgment, taste, and verification. This is a clear-eyed, role-by-role look at what's fading, what's rising, and what to watch out for as teams move from AI-assisted to AI-first — so you can see what may be lost, what's added, and how to stay genuinely valuable in a changed era.

21 min read
AI & The Future

Generative AI in Daily Life and Work: A Practical Catalog of What You Can Use Today

Generative AI has quietly moved from headline to household tool — yet most people still use it for little more than the occasional question. This is a hands-on catalog of the most common, genuinely useful applications across work, learning, creativity, and everyday life, organized so you can find at least one thing to try today. No hype, no jargon — just real use cases you can apply immediately, plus the one skill that makes all of them work and the limits you should never ignore.

16 min read