The Future is Now - Building AI-Native Development Workflows Around Claude Code

When people hear "Vibe Coding," the first question is usually:

"How much code can it write for me?"

But real productivity gains have never been about "writing faster" — they're about workflow transformation.

The real dividing line is this 👇

Is AI taking on "process ownership," or is it just "generating content"?

If AI only autocompletes your code, you still have to:

Decide when a task is done
Commit and push yourself
Create PRs yourself
Notify collaborators yourself
Babysit the results

That's not the future. That's just a "fancy IDE."

AI-native development isn't about code — it's about flow

AI-native development workflow boils down to three things:

Tasks are AI-driven
Completion is system-determined
State flows naturally through collaboration tools

And Claude Code? It's the perfect control center for all of this.

Claude Code isn't just a coding tool

If you're treating Claude Code as "a terminal that writes code," you're only using 30% of its power.

The real Claude Code is more like a persistent engineering execution agent:

It understands complete tasks, not just one-off commands
It keeps pushing forward in a single session without losing context
It actually connects with Git, CI, and notification systems
It can be extended with Hooks and Plugins to become a "workflow node"

Once you realize this, your whole approach to development changes.

Skills · Hooks · Plugins: Bringing Claude into the "Process Layer"

Claude Code's real breakthrough isn't in "generation capability" — it's that it can be deterministically embedded into development workflows.

This is exactly what Hooks, Skills, and Plugins are each designed for.

🔗 Hooks: Making critical behaviors automatic

Hooks are shell commands that run automatically during Claude Code's lifecycle.

They provide deterministic control instead of relying on the model to "remember to do it."

Common use cases:

Send Lark notifications when tasks complete or await input
Auto-format files after modification
Log commands for compliance audits
Block modifications to sensitive directories

👉 Hooks solve: What must happen.

Here's an example of a Claude Code task notification sent via Hook:

🧠 Skills: Teaching Claude how to do specific things

A Skill is a markdown file that teaches Claude how to accomplish a particular type of task.

When your request matches its purpose, Claude applies it automatically.

Examples:

Review PRs according to team standards
Generate commit messages in a fixed format
Query company database schemas

👉 Skills solve: How Claude should do things.

For instance, a Skill for generating professional blog content — or you could have one for generating design docs:

🔌 Plugins: When capabilities need to be reused and distributed

When you need to:

Use the same capability across multiple projects
Share with your team or community
Manage versions and updates

That's when you package it as a Plugin.

👉 Plugins solve: How capabilities are reused, shared, and maintained.

In a nutshell

Hooks: Ensure behaviors happen
Skills: Standardize how things get done
Plugins: Scale and distribute capabilities

When all three work together, Claude stops being just a tool — it becomes part of the development process itself.

So what role does Lark play here?

Lark isn't a notification tool — it's the "awareness layer" in your AI workflow.

This is the most underestimated yet critical piece of the puzzle.

Without collaboration tools, AI is just a "background script"

Imagine a world without Lark:

Claude is quietly running tasks in the background
A PR has been created, but you don't know
A task failed, but nobody noticed
You have to keep switching back to the terminal to check status

That's not AI-native. That's "more complicated automation scripts."

With Lark, your workflow actually comes alive

By using Hooks to push Claude's key events to Lark:

✅ Task completed
❌ Task failed
🔗 PR created
📌 Current session / branch info

You're not getting a cold notification — you're getting:

"What state is Claude in right now, and do I need to step in?"

And all of this is:

Cross-device (Mac / iPhone / iPad)
Traceable (not a fleeting message)
Collaborative (visible to team members)

A real, natural, effortless workflow

Here's a scenario that many people are already living:

10:00 AM   You give Claude a task:
           "Refactor the user module, add tests, create a PR when done."

10:40 AM   You're at a coffee shop.
           Lark notification pops up:
           ✅ User module refactor complete
           - Tests passing
           - PR created
           - Link attached

You open the GitHub app:

Glance at the diff
PR description already written
Tap Merge

Done.

You didn't:

Write the commit
Write the PR
Chase anyone down
Sit in front of your computer

This is what AI-native development actually feels like

Notice: the real game-changer isn't "Claude writes great code."

It's that all of these things happened together:

Claude executes
Plugins determine completion
Hooks flow state
Lark surfaces awareness
Humans only make decisions

This is a workflow built around AI, not AI shoved into an old workflow.

Your role has quietly shifted

In this system, you're no longer:

A command executor
A status courier
Process glue

You've become:

A task definer
A result reviewer
A final decision-maker

And for the first time, Claude is truly standing in the "engineering driver's seat."

Why say "the future is already here"?

Because all of this:

Doesn't require a new framework
Doesn't require a new paradigm
Doesn't require AGI

Right now, with Claude Code + Skills + Hooks + Plugins + Lark, you can ship this.

It's not a concept demo. It's a real workflow running every day.

Final thoughts

A lot of tech articles talk about "how to use AI to write code."

But what's really worth your time is this:

How to make AI part of your development process, not just a tool sitting on the side.

When Claude's state flows naturally into your daily collaboration through Lark, when "task completion" no longer requires you to constantly check,

You'll realize— development is finally not a continuous drain on your attention.

And that's what makes AI-native development truly compelling.

If you're already using Claude Code, the next step isn't making it write faster.

It's: Making your whole world revolve around it.

We're constantly experimenting too — feedback and critiques welcome in the comments.