| 🚀 Product Builder | 🧠 AI-Assisted Developer | ⚡ Full-Stack Learner |
| I turn ideas into real products. | I use AI to build faster and learn smarter. | I improve by building real projects. |
I'm a student developer from Vietnam who enjoys building useful digital products with code and AI.
I like creating projects that are practical, visual, clean, and product-focused.
My goal is not just to generate code.
My goal is to build projects that feel like real products.
I use AI as a development assistant for:
- planning product ideas
- writing and improving code
- debugging errors
- creating documentation
- improving UI/UX
- designing system structure
- building prototypes faster
- upgrading existing projects
- learning new technologies
AI helps me move faster, but every product still needs testing, review, and improvement.
AI-assisted products
Web applications
Dashboard systems
Automation tools
Developer utilities
Public project pages
Experimental full-stack apps
Product prototypes
Community tools
Workflow helpersI do not focus on only one type of product.
I like building anything that is useful, visual, and can become a real working product.
I believe AI gives individual creators the power to build projects that used to require a full team.
But AI is not magic.
A real product still needs:
- clear purpose
- clean interface
- working features
- safe logic
- error handling
- testing
- documentation
- user feedback
- continuous upgrades
My workflow usually looks like this:
Idea
↓
Plan
↓
Build
↓
Test
↓
Improve
↓
Publish
↓
UpgradeThis GitHub profile is my public product lab.
I use it to publish projects, improve documentation, test ideas, and build better software over time.
| Area | What I Build | Status |
|---|---|---|
| AI-Assisted Products | Apps and tools built with AI-supported development | Active |
| Web Applications | Landing pages, dashboards, admin panels, product UIs | Building |
| Dashboard Systems | Management interfaces, metrics pages, control centers | Building |
| Automation Tools | Small utilities that reduce repeated manual work | Exploring |
| Developer Tools | Setup helpers, workflow tools, API utilities | Learning |
| Full-Stack Experiments | Projects using frontend, backend, database, and APIs | Growing |
SMPKit is one of my main public AI-assisted products.
It is a full-stack dashboard and plugin toolkit focused on server/community management, public pages, activity tracking, API integration, and admin-style control panels.
|
An AI-assisted full-stack product focused on dashboards, server management, public pages, and automation. SMPKit represents my current learning path in full-stack development, UI/UX design, backend logic, API systems, plugin communication, documentation, and AI-assisted product building. The project includes a modern web dashboard, database-backed management, API routes, public pages, setup flows, and product-style documentation. |
| Frontend | HTML · CSS · JavaScript · TypeScript · React · Next.js |
| Styling | Tailwind CSS · Responsive UI · Dashboard Layouts · Product Design |
| Backend | Node.js · API Routes · Auth · Server Logic · Webhooks |
| Database | PostgreSQL · Prisma · Data Modeling |
| Tools | Git · GitHub · VS Code · npm · Vercel |
| AI Workflow | Planning · Coding · Debugging · UI Ideas · Documentation |
Building AI-assisted products
Improving web application UI/UX
Creating better dashboard systems
Learning full-stack architecture
Writing cleaner documentation
Publishing stronger GitHub projects
Using AI responsibly in development
Turning ideas into real softwareImportant
Most of my products are created with the assistance of artificial intelligence.
AI helps me move from idea to prototype faster.
I use AI for:
- brainstorming
- planning
- coding
- debugging
- refactoring
- UI ideas
- documentation
- system design
- test planning
- feature upgrades
But I do not treat AI output as perfect.
AI-assisted projects can still contain:
- bugs
- incomplete features
- security weaknesses
- incorrect logic
- unstable behavior
- broken edge cases
- poor performance
- unfinished UI
- missing validation
- wrong assumptions
That is why every project should be reviewed, tested, and improved before real use.
Warning
My public projects are provided as is.
Anyone may use, modify, fork, learn from, or experiment with my public projects according to each repository's license.
However, I am not responsible for any damage, data loss, security issue, account issue, financial loss, server issue, hosting issue, misconfiguration, or any other problem caused directly or indirectly by using my projects.
Use everything at your own risk.
|
AI-assisted products, dashboards, tools, and full-stack experiments. |
Architecture, backend logic, UI/UX, databases, APIs, and deployment. |
Documentation, project quality, GitHub presentation, and usability. |
| Repository | Description | Link |
|---|---|---|
| SMPKit | AI-assisted full-stack dashboard and plugin toolkit project | Open Repo |
I try to make my projects feel like real products, not random code folders.
I care about:
- product name
- README quality
- clear setup steps
- public presentation
- UI polish
- useful features
- clean project structure
- feature descriptions
- disclaimers
- continuous improvement
1. Find an idea
2. Understand the problem
3. Break it into features
4. Plan the structure
5. Use AI to speed up development
6. Build the first version
7. Test manually
8. Fix bugs
9. Improve the design
10. Write documentation
11. Publish on GitHub
12. Keep upgradingI want to build more:
- AI-assisted tools
- web dashboards
- automation utilities
- public product pages
- developer tools
- productivity apps
- full-stack experiments
- cleaner public repositories
- products that look and feel real
More products
Better design
Cleaner code
Stronger documentation
Smarter use of AI
More public releases
Better GitHub presentation
Real-world project experienceGitHub: @kv
Main project: SMPKit