Devstratis

Building @PandaOS_ai

[Devstratis @devstratis]

Introducing PandaOS.

The local workspace where AI agents can operate your whole dev stack, not just write code.

→ inspect your repo
→ edit code
→ run commands
→ test in browser
→ check Vercel/Supabase
→ pull context from Gmail/GitHub
→ deploy fixes
→ keep context across projects

All in one environment.

Right now, builders are acting like the “glue” between 10+ tools.

PandaOS removes that layer.

This is what happens when AI stops living in one tab…
and starts operating across your entire stack.

We’re opening early access to a small group of builders.

Comment “OS” and I’ll send you priority access.

[Devstratis @devstratis]

@marty_kausas @Kryptiko I actually solve this exact problem with https://t.co/6fVswljqk8

[Devstratis @devstratis]

@markproduct Local AI Workstation https://t.co/8GjFObWvi6

[Devstratis @devstratis]

For months I bounced between AI coding tools. Cursor, Claude Code, OpenCode, you name it.

Each one had something brilliant going for it. But none of them felt complete. There was always a gap, and I kept finding myself stitching things together by hand.

At some point it just hit me: why am I settling for someone else's idea of the perfect AI workflow? Why not build my own?

So I did and @PandaOS_ai is the result.

It's the workstation I always wished existed. I can plug in any model, harness and subscription I want, and switch between them whenever I like. All my projects and context live in one place and the apps I rely on every day are built right into it with lightweight UIs and custom MCPs.

It's still an early beta and invite-only. If you're curious, just comment. I'm happy to hook you up with some free credits to try it out, or you can bring your own Claude, OpenCode Go or ChatGPT subscription and jump straight in.

Would genuinely love to hear what you think. ��
https://t.co/4sgQnvQivi

[Devstratis @devstratis]

Introducing PandaOS.

The local workspace where AI agents can operate your whole dev stack, not just write code.

→ inspect your repo
→ edit code
→ run commands
→ test in browser
→ check Vercel/Supabase
→ pull context from Gmail/GitHub
→ deploy fixes
→ keep context across projects

All in one environment.

Right now, builders are acting like the “glue” between 10+ tools.

PandaOS removes that layer.

This is what happens when AI stops living in one tab…
and starts operating across your entire stack.

We’re opening early access to a small group of builders.

Comment “OS” and I’ll send you priority access.

[Devstratis @devstratis]

@rezoundous not convinced the magic is “20 agents”

feels more like fewer agents with the right context, tools, memory, browser, terminal, logs, etc.

otherwise you just get chaos faster

this is basically the orchestration problem we’re thinking about with PandaOS

[Devstratis @devstratis]

building PandaOS, a local AI workspace for running workflows across code, tools, and apps

instead of stitching everything together, trying to make it feel like one system

would love to connect with others building in this space

this is what it looks like ↓ https://t.co/4CFL0lurBt

[Devstratis @devstratis]

Introducing PandaOS.

The local workspace where AI agents can operate your whole dev stack, not just write code.

→ inspect your repo
→ edit code
→ run commands
→ test in browser
→ check Vercel/Supabase
→ pull context from Gmail/GitHub
→ deploy fixes
→ keep context across projects

All in one environment.

Right now, builders are acting like the “glue” between 10+ tools.

PandaOS removes that layer.

This is what happens when AI stops living in one tab…
and starts operating across your entire stack.

We’re opening early access to a small group of builders.

Comment “OS” and I’ll send you priority access.

[Devstratis @devstratis]

@icanvardar exactly why we started building PandaOS

we’re putting the tools, agents, browser, terminal, deploys etc. in one place

to make building feel fun again

and its in early access ↓
https://t.co/3biw218zVm

[Devstratis @devstratis]

Introducing PandaOS.

The local workspace where AI agents can operate your whole dev stack, not just write code.

→ inspect your repo
→ edit code
→ run commands
→ test in browser
→ check Vercel/Supabase
→ pull context from Gmail/GitHub
→ deploy fixes
→ keep context across projects

All in one environment.

Right now, builders are acting like the “glue” between 10+ tools.

PandaOS removes that layer.

This is what happens when AI stops living in one tab…
and starts operating across your entire stack.

We’re opening early access to a small group of builders.

Comment “OS” and I’ll send you priority access.

[Devstratis @devstratis]

building PandaOS, a local AI workspace for running workflows across code, tools, and apps

instead of stitching everything together, trying to make it feel like one system

would love to connect with others building in this space

this is what it looks like ↓
https://t.co/4CFL0luZr1

[Devstratis @devstratis]

Introducing PandaOS.

The local workspace where AI agents can operate your whole dev stack, not just write code.

→ inspect your repo
→ edit code
→ run commands
→ test in browser
→ check Vercel/Supabase
→ pull context from Gmail/GitHub
→ deploy fixes
→ keep context across projects

All in one environment.

Right now, builders are acting like the “glue” between 10+ tools.

PandaOS removes that layer.

This is what happens when AI stops living in one tab…
and starts operating across your entire stack.

We’re opening early access to a small group of builders.

Comment “OS” and I’ll send you priority access.

[Devstratis @devstratis]

that infinite canvas idea is interesting

we’re approaching it as a workspace where everything you’d normally split across terminals, browser, repos, and apps lives in one environment

so instead of managing 20 terminals, you’re operating the whole flow in one place with shared context

curious how you’re structuring things on your side. are you thinking per-project surfaces or one continuous space?

[Devstratis @devstratis]

@ritu_twts claude for thinking

antigravity/cursor for moving fast

browser for “does this actually look good?”

terminal for “did i break everything?”

still feels annoying that all of this lives in different places tho

[Devstratis @devstratis]

@cyrilXBT this is exactly what people are starting to feel

once the agent can read, plan, execute, and iterate inside the repo, everything changes

feels like we’re one step away from that same behavior across the full stack

[Devstratis @devstratis]

@1Umairshaikh hey, I’m Riccardo.
currently opening early access for the local AI workstation for builders who want one place to run their stack
https://t.co/3biw218zVm

[Devstratis @devstratis]

Introducing PandaOS.

The local workspace where AI agents can operate your whole dev stack, not just write code.

→ inspect your repo
→ edit code
→ run commands
→ test in browser
→ check Vercel/Supabase
→ pull context from Gmail/GitHub
→ deploy fixes
→ keep context across projects

All in one environment.

Right now, builders are acting like the “glue” between 10+ tools.

PandaOS removes that layer.

This is what happens when AI stops living in one tab…
and starts operating across your entire stack.

We’re opening early access to a small group of builders.

Comment “OS” and I’ll send you priority access.

[Devstratis @devstratis]

@santoshstack building PandaOS: a local AI workspace for running workflows across code, tools, and apps

idea is simple: instead of stitching everything together, one environment handles the flow

would love your thoughts ↓
https://t.co/3biw218zVm

[Devstratis @devstratis]

Introducing PandaOS.

The local workspace where AI agents can operate your whole dev stack, not just write code.

→ inspect your repo
→ edit code
→ run commands
→ test in browser
→ check Vercel/Supabase
→ pull context from Gmail/GitHub
→ deploy fixes
→ keep context across projects

All in one environment.

Right now, builders are acting like the “glue” between 10+ tools.

PandaOS removes that layer.

This is what happens when AI stops living in one tab…
and starts operating across your entire stack.

We’re opening early access to a small group of builders.

Comment “OS” and I’ll send you priority access.

[Devstratis @devstratis]

@ZamDeveloper great list, we’re building something around this problem from a different angle

trying to make it easier to actually run and validate the workflow, not just the code

would love your take if you have a minute ↓
https://t.co/3biw218zVm

[Devstratis @devstratis]

Introducing PandaOS.

The local workspace where AI agents can operate your whole dev stack, not just write code.

→ inspect your repo
→ edit code
→ run commands
→ test in browser
→ check Vercel/Supabase
→ pull context from Gmail/GitHub
→ deploy fixes
→ keep context across projects

All in one environment.

Right now, builders are acting like the “glue” between 10+ tools.

PandaOS removes that layer.

This is what happens when AI stops living in one tab…
and starts operating across your entire stack.

We’re opening early access to a small group of builders.

Comment “OS” and I’ll send you priority access.

[Devstratis @devstratis]

You know how all your toys are in different boxes?

One box for cars.
One box for blocks.
One box for dinosaurs.
They’re all fun, but you have to keep moving them around yourself.
PandaOS is the big play table where they all work together.

Code, browser, terminal, GitHub, Supabase, Vercel, agents.

That’s what we’re building ↓
https://t.co/4CFL0luZr1

[Devstratis @devstratis]

Introducing PandaOS.

The local workspace where AI agents can operate your whole dev stack, not just write code.

→ inspect your repo
→ edit code
→ run commands
→ test in browser
→ check Vercel/Supabase
→ pull context from Gmail/GitHub
→ deploy fixes
→ keep context across projects

All in one environment.

Right now, builders are acting like the “glue” between 10+ tools.

PandaOS removes that layer.

This is what happens when AI stops living in one tab…
and starts operating across your entire stack.

We’re opening early access to a small group of builders.

Comment “OS” and I’ll send you priority access.

[Devstratis @devstratis]

@rxhit05 this is the stack

the missing piece is everything between these tools

been working on that ↓
https://t.co/3biw218zVm

[Devstratis @devstratis]

Introducing PandaOS.

The local workspace where AI agents can operate your whole dev stack, not just write code.

→ inspect your repo
→ edit code
→ run commands
→ test in browser
→ check Vercel/Supabase
→ pull context from Gmail/GitHub
→ deploy fixes
→ keep context across projects

All in one environment.

Right now, builders are acting like the “glue” between 10+ tools.

PandaOS removes that layer.

This is what happens when AI stops living in one tab…
and starts operating across your entire stack.

We’re opening early access to a small group of builders.

Comment “OS” and I’ll send you priority access.

[Devstratis @devstratis]

@edfazolo @boardyai we fix that!

[Devstratis @devstratis]

@boardyai vibing from idea → deploy without leaving the flow

this is what it looks like ↓
https://t.co/3biw218zVm

[Devstratis @devstratis]

Introducing PandaOS.

The local workspace where AI agents can operate your whole dev stack, not just write code.

→ inspect your repo
→ edit code
→ run commands
→ test in browser
→ check Vercel/Supabase
→ pull context from Gmail/GitHub
→ deploy fixes
→ keep context across projects

All in one environment.

Right now, builders are acting like the “glue” between 10+ tools.

PandaOS removes that layer.

This is what happens when AI stops living in one tab…
and starts operating across your entire stack.

We’re opening early access to a small group of builders.

Comment “OS” and I’ll send you priority access.

[Devstratis @devstratis]

@NaivaidyaY66600 building PandaOS, a local AI workspace for running the work around code, not just writing it

agents can move across repo, terminal, browser, deploys, and apps

launch demo ↓
https://t.co/3biw218zVm

[Devstratis @devstratis]

Introducing PandaOS.

The local workspace where AI agents can operate your whole dev stack, not just write code.

→ inspect your repo
→ edit code
→ run commands
→ test in browser
→ check Vercel/Supabase
→ pull context from Gmail/GitHub
→ deploy fixes
→ keep context across projects

All in one environment.

Right now, builders are acting like the “glue” between 10+ tools.

PandaOS removes that layer.

This is what happens when AI stops living in one tab…
and starts operating across your entire stack.

We’re opening early access to a small group of builders.

Comment “OS” and I’ll send you priority access.