Baziar

Building Workspai & RapidKit — workspace intelligence for software systems.
One workspace. One truth. Humans & AI aligned.

@workspai_com

[Baziar @Baziar_Dev]

Workspai better reflects what we've been building all along:

Workspace Intelligence for Software Systems.

[Workspai @workspai_com]

Introducing Workspai.

The RapidKit CLI is now Workspai.

Open-source Workspace Intelligence for Software Systems.

One workspace.
One truth.
Humans and AI aligned.

[Baziar @Baziar_Dev]

@workspai_com I trust an AI tool more when it can say "the evidence is stale" than when it confidently fills the gap with a guess.

[Baziar @Baziar_Dev]

@workspai_com Agent configuration should be generated infrastructure, not folklore copied between repositories.

[Baziar @Baziar_Dev]

@workspai_com The concepts become much clearer when you see them in a real workspace.

#WorkspaceIntelligence

[Baziar @Baziar_Dev]

@workspai_com Greenfield demos are easy.
The real test for a developer tool is whether it can meet a mature software system without demanding a rewrite first.

[Workspai @workspai_com]

AI can read code.
Understanding the software system is a different problem.

https://t.co/1xhWwhqdMG is now live: a public knowledge portal for Open-Source Workspace Intelligence for Software Systems.

Concepts. Architecture. Evidence. Agent grounding.

https://t.co/XKdAx54uPz

[Baziar @Baziar_Dev]

@workspai_com We did not want another product landing page.

We wanted a place to define the category carefully:
what Workspace Intelligence is, what it is not, what exists today, and which claims are backed by contracts and evidence.

[Baziar @Baziar_Dev]

@workspai_com This isn't just a rename.

Over time, RapidKit evolved from a developer toolkit into a platform centered around Workspace Intelligence.

Workspai better reflects what the CLI has become.
The vision didn't change.

The name finally caught up.

[Baziar @Baziar_Dev]

@workspai_com This is where I think dev tools are heading:
not just AI suggestions,
but closed repair loops with evidence.
The tool should not stop at here is what failed.
It should help clear the blocker.

[Workspai @workspai_com]

We’ve been calling everything “context.”

RAG.
Memory.
Skills.
MCP.
Repository intelligence.
Workspace intelligence.

But these are not the same layer.
Maybe AI coding tools don’t need more context.
Maybe they need the right kind of understanding.

https://t.co/FLR1KfLczl

[Baziar @Baziar_Dev]

@workspai_com “Context” has become too big a word.

RAG retrieves.
Memory remembers.
Skills teach.
MCP connects.
Agents act.
Repository intelligence explains code.

Workspace intelligence should explain what the software system believes, what is stale, and what an action will affect.

[Baziar @Baziar_Dev]

The shift we're seeing:

#AI is moving from generating code...

...to understanding software systems.

[Workspai @workspai_com]

We don't think these projects compete.

They're building different layers of AI engineering:

Skills → expertise
Knowledge → facts
Repository → codebase
Workspace → software systems

Different layers. Different jobs.

[Baziar @Baziar_Dev]

@workspai_com This is how we've been thinking about it while building Workspai.
The goal isn't to replace these projects.
It's to understand where each one fits—and where new layers are emerging.

[Workspai @workspai_com]

Every coding assistant should start with the same grounding file.

Not vibes.
Not a stale README.
Not a fresh repo crawl every time.

npx rapidkit workspace context --for-agent --json --write

Give agents the workspace before they touch the code.

#WorkspaceIntelligence

[Baziar @Baziar_Dev]

@workspai_com The best AI coding sessions I have seen all have the same pattern:
less guessing upfront,
more shared context,
fewer "let me scan the repo" loops.

[Baziar @Baziar_Dev]

@workspai_com I do not want agents to sound certain.
I want them to be grounded enough to know when the workspace is not ready.
That difference matters a lot in real engineering work.

[Workspai @workspai_com]

Context drift is where AI coding gets expensive.

The IDE sees one thing.
CI sees another.
The agent guesses from files.

Workspace Intelligence gives them the same model:

npx rapidkit workspace model --json

Less rediscovery.
Fewer confident wrong turns.

#WorkspaceIntelligence

[Baziar @Baziar_Dev]

@workspai_com This is the part I keep coming back to:

AI mistakes often look like model problems, but they are usually operating-context problems.

If every tool starts from a different map, the team pays for it later.

[Baziar @Baziar_Dev]

🚀 Calling all builders.

🤖 AI • 💻 Dev Tools • 🧠 Workspace Intelligence

Show us what you're working on 👇

[Workspai @workspai_com]

🚀 Building something exciting?

🤖 AI • 💻 Dev Tools • 🧠 Workspace Intelligence

Share your project below 👇

#WorkspaceIntelligence

[Baziar @Baziar_Dev]

@workspai_com I'll go first.

Building Workspace Intelligence—an open-source layer that helps AI agents understand software systems before they make changes.

Your turn 👇