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Alkhassim Lawal Umar
Alkhassim Lawal Umar

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Building an AI-Native Development Platform: What's New in KingxTech

Building an AI-Native Development Platform: What's New in KingxTech

How I went from an AI chat interface to an autonomous development workflow.

Over the past few months, I've been building KingxTechβ€”an AI-native platform for developers. The goal isn't just to add AI to an editor; it's to create a workflow where planning, coding, version control, publishing, and deployment happen in one place.

This latest update is one of the biggest milestones so far.

πŸ€– A Better AI Workflow

One thing that always bothered me about AI coding tools is that they often jump straight into editing files.

I wanted K-XpertAI to work more like a teammate.

  1. Now the workflow looks like this:
  2. You describe what you want to build.
  3. K-XpertAI analyzes the request.
  4. It presents an implementation plan.
  5. You choose Accept or Reject.
  6. The AI applies the changes.
  7. You can Undo any edit if needed.

The goal is to keep developers in control while still benefiting from AI automation.

⚑ Live Agent Progress

Instead of a generic *"Thinking..." * message, the AI now streams its progress live.

You'll see updates such as:

  • Reading project files
  • Running commands
  • Building components
  • Editing files
  • Cleaning up

Watching the agent work makes the process much easier to follow.

🧠 Multiple AI Models

K-XpertAI now supports choosing different models for different tasks.

Examples:

`:G-flash/ Explain this code

:C-sonnet/ Refactor this project

:O-terra/ Optimize performance`

For everyday development, there's also a free default model available without consuming monthly credits.

πŸ“Š Credits That Make Sense

Free users now receive 300 AI credits every month.

Premium models consume different amounts depending on their capability, while the default free model remains available for basic coding assistance.

The Console also includes a complete usage history so developers can track how their credits are being used.

πŸš€ GitHub Integration

One of my favorite additions is GitHub integration.

The workflow is simple:

  • Generate a Personal Access Token.
  • Connect it to your KingxTech account.
  • Push your project directly from the workspace .

No switching between multiple applications.

🌐 One-Click Publishing

Projects can now be published directly from the workspace.

Instead of sharing a long project ID, each published project receives a cleaner permanent URL.

Custom domain support is also built into the workflow by generating the required DNS records.

πŸ’» Built-in Terminal

A new Terminal tab lets developers run safe commands directly inside the workspace.

This keeps common development tasks close to the editor instead of requiring another terminal window.

πŸ“ˆ Why I'm Building This

My goal isn't to create another AI chatbot.

I'm trying to build a developer platform where AI naturally fits into the software development lifecycle.

That includes:

  • Authentication
  • AI assistance
  • Project workspaces
  • Version control
  • Publishing
  • Domains
  • Cloud infrastructure

...working together as one experience.

What's Next

  • I'm currently working on:
  • Better multi-model routing
  • Richer project previews
  • Improved AI planning
  • Cloud integration
  • More developer tooling

There's still a lot to build, but this update feels like a major step toward the platform I originally imagined.

If you're interested in AI-assisted software development, I'd love to hear your thoughts and feedback.

Website: https://kingxtech.name.ng

GitHub: https://github.com/KingzTechCompy

Top comments (1)

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Luis Cruz

I particularly appreciated the introduction of live agent progress, which provides a much-needed layer of transparency into the AI's workflow, making it easier to understand what's happening behind the scenes. The fact that you've also implemented multiple AI models, each with its own strengths, is a great way to cater to different development tasks and use cases. I'm curious to know more about how you envision the cloud integration feature, specifically how it will enhance the overall development experience and what kind of infrastructure support it will provide to users.