Work starts as a conversation, runs in a secure disposable sandbox in your own cloud, and lands as a reviewed pull request. DevSandboxed makes that the way your whole company ships — from the CEO to the newest engineer.
A chat message from your phone, a meeting, the couch. The sandbox in your cloud is the dev machine — nobody installs anything, ever.
The run is a conversation in the thread, not a black box on someone's screen — and it's your actual app, running on your code in your own cloud. Nothing to deploy, nothing to set up. Read it, steer it, question it, live.
The output isn't a claim — it's a pull request with its conversation attached, plus a live preview link: open the running app in your browser and click through the change before it merges. Then the sandbox is gone.
AI coding is happening at your company either way — today it's scattered across personal tools, invisible spend, and work you can't see or reuse. DevSandboxed turns it into a team capability: secure on your own infrastructure, cost-controlled, and shared by everyone from the CEO to the newest engineer.
Code is the output. The real asset is your team's intent, decisions, and validation — the conversation that produced it. Here that asset is captured in your threads and stays in-house, instead of evaporating in personal AI tabs.
AI multiplies pull requests until review becomes the bottleneck — the biggest unsolved problem in AI-assisted engineering. Here every PR arrives with its conversation attached: the intent, the decisions, the validation. Reviewers see the why, not just the diff — and the practices for handling the volume come with the product.
Becoming AI-first doesn't happen by buying licenses — it happens by changing how work flows through the team. Start with routine tasks, grow into whole workflows, and learn what to delegate and what to keep human — with an experienced AI-focused engineer guiding the shift.
Starting work takes one chat message, not a dev environment — founders, PMs, and support leads can hand real tasks to an agent and watch them get done. And nothing lands without review: every run ends as a pull request your engineers approve. Everyone gains the power; nobody loses the quality bar.
Claude Code, Codex, opencode — the agent and the model are swappable parts, not the foundation. Switching a model or a harness has never been easier: a better model drops, adopt it in minutes; your provider has an outage, switch and keep shipping while competitors wait it out. The workflow — and your team's habits — don't change.
Everything runs inside your own cloud account, within your existing security boundary. Code, secrets, and customer data never touch a third party — the answer to "where does our code go?" is nowhere. Your security team doesn't have to trust a new vendor, because there isn't one in the data path.
You decide what runs, when, and for how long; environments shut themselves down when the work is done, so nothing idles and nothing quietly burns money overnight. And you pay your cloud provider directly — no per-seat pricing, no markup, no mystery line items.
The distance from "we should fix that" to a reviewable pull request collapses to one message. Small fixes stop waiting a sprint — and big ideas get a working draft the same day.
Work happens in shared threads, not on someone's laptop. Anyone can watch, steer, or jump in — and learnings compound in team channels, not one person's chat history.
The whole team shares the same tools, the same flow, the same guardrails. No snowflake setups, no "works on my machine," no five AI tools doing the same job five ways.
Every run gets its own disposable environment, so the risky refactor or the weird spike costs nothing to try. Throw the sandbox away, keep the learning.
This model was built and battle-tested inside a real startup's daily workflow before it became a product. Read the story of how it changed who gets to ship — or watch the demo run live.
"Last week our CEO shipped a PR from his phone. So did our PM. So did our designer. … They're active members of our dev team now, building features and shipping real reviewed code every week, alongside the engineers." — from "Sandboxes Are the New Dev Environment"
No rip-and-replace. DevSandboxed plugs into the stack you already have: the cloud account you already pay for, the chat your team already lives in, and the coding agent your engineers already trust — each one swappable, none of them locked in.
Ship like a team twice your size — without hiring, without a platform team, and without your IP on someone else's servers.
Win the clients your competitors can't — the ones whose security teams won't let data leave their environment.
Adopting agents isn't installing a tool — it changes how your team works. Design partners don't just get the platform: they get an experienced, AI-focused engineer working alongside them to make the transition stick.
Skip the trial-and-error tax. Get proven practices for working with coding agents — how to scope tasks, set guardrails, and structure your repos so agents actually deliver.
Hands-on guidance that turns your developers into effective AI engineers — people who lead agents and multiply their output, instead of competing with them.
A small number of teams get hands-on deployment in their own cloud, direct access to the founder, and a real say in the roadmap — in exchange for honest feedback on real work. If cloud coding agents are on your roadmap but third-party exposure is the blocker, let's talk.
Apply as a design partner