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Jordan S.
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Mara
Executive summary
The starting point moves
Enterprise software sits behind years of accumulated complexity: dozens of services, deep design systems, long PRDs, and brand rules that all have to be respected at once.
The people who understand the product best, the product managers and designers who live with its users, usually cannot touch any of it. Trying even a small change means filing a ticket, waiting for an engineer to set up an environment, and explaining the idea well enough to survive translation. The cost of trying things is so high that most ideas are never tried.
There is already a proven way to build software with these models. In startups, a modern development lifecycle has formed around them: isolated sandboxes that run code safely, careful context management so the model sees the right things, worktrees that keep every change separate, live access to the systems where work originates, prompts built collaboratively, and fast, tight feedback loops on the agent's work. Those practices have not yet reached most enterprises. Soffi packages them into one environment, so a company with years of legacy code can adopt that lifecycle without rebuilding how it works.
Soffi moves the starting point. A technical product person opens the project and the entire application comes up running, every service wired together, with nothing to configure. They see the live product in the browser, point at what they want to change, and the change happens in the running app in front of them. When it looks right, it ships as a pull request into the team's normal review. And none of this is a solo act: the workspace is multiplayer, so the whole team can be in the same running product at once, commenting, testing, and refining together. Everything else exists to make that one experience real: a containerized environment, a shared multiplayer workspace, embedded agents with real tools and sidecars, and a connection to the context that lives across the organization.
The shift, in one line
The ability to change real software moves to the people closest to the product, on the company's actual systems, without taking the work out of engineering's hands.
The core experience
Three moves: spin up, change, ship
The whole product reduces to three steps that a non-engineer can do on their own. Each of the four systems that follow is in service of keeping these three steps fast, safe, and grounded in reality. Full code access means the engineer can contribute, too.
fig.0 · the core loop
Step 1
Spin up the running app
→
Step 2
Change it in the browser
→
Step 3
Ship a reviewable PR
no environment setup · no microservice configuration
Figure 0. The product reduces to three steps, with the hard parts absorbed by the platform underneath.
01Absorbed complexity
An environment that just runs
The first barrier for a product person is also the largest: getting the application running at all. In a mature enterprise codebase that can mean a dozen services, a wall of environment variables, and setup knowledge that lives only in an engineer's head. Soffi absorbs all of it.
fig.1 · what comes up
Your codebase
webapiauthbillingjobssearchnotificationsanalytics
Years of legacy. Many services.
→
One running environment live
Every service up and wired together exactly as it runs in production, plus the developer tools, sidecars, and agents a change needs. Nothing to configure, nothing to install.
Figure 1. The platform reads the project and brings the whole system up, isolated and reproducible. Resetting it is a relaunch.
Open a project and the whole system comes up running, the way it runs in production, with nothing to set up.
There is no Dockerfile to write, no compose file to wrestle, and no “works on my machine.” Each environment is isolated and reproducible, so a person can experiment freely and a mistake never reaches anyone else. When something goes wrong, the fix is to relaunch, not to debug a local machine.
- Running in secondsThe full application, every service connected, without configuration.
- Tools and sidecars includedEach environment comes with the developer tooling and supporting services a real change requires.
- Isolated and disposableExperiment without risk; reset is a relaunch, not a recovery.
02Change the running product
Edit the live app in place
You change the product by pointing at the running app, not by reading code.
There are two ways to work, and you can move between them freely. Describe what you want in words and let an agent make the change, or reach in and edit properties, components, and CSS directly. Either way you are working on the real running app, and you never have to hunt through the codebase for where something is defined.
And you are never doing it alone. The running app is wrapped in a shared, multiplayer environment, so your whole team can be in the same product at once: leaving comments on the live UI, trying changes, and refining together in real time, the way they already collaborate on a design canvas.
Figure 2. The running product in the browser, live and shared: teammates are present, comments sit on the real UI, and you point at an element to describe a change.
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Figure 3. Direct. A live style editor for properties, components, and design-system tokens, bound to your React environment.
Because Soffi has real-time access to the running code, the full engineering feedback loop runs as you work. Linting, type checks, and tests run against the change, language intelligence keeps edits coherent with the rest of the codebase, and hot reloads appear in the browser immediately. You see the same signals an engineer would, at the moment you make the change.
- See it as you build itHot reloads render in the browser the instant a change is made.
- Real feedback, instantlyLinting, type checks, and tests run live against your change.
- Safe by defaultEach change lives on its own branch with its own preview link.
When words are not the fastest path, the live style editor lets you edit properties, components, and design-system tokens directly. Because the editor is bound to your React environment, a change to a value updates the real component and stylesheet live, then ships as a production-ready pull request. People who already know how to work this way can do so immediately, without first learning where in the codebase a given style lives.
- Prompt or do it yourselfSwitch between describing a change and making it by hand at any moment.
- No file huntingEdits resolve to the real component and CSS automatically.
- Familiar by designDesigners and engineers work the way they already do.
03AI that can act
Agents, tools, and sidecars
The work is done by agents that live inside the running environment and use the same tools an engineer would.
An embedded agent does not describe a change from the outside; it makes one from the inside. It reads the live code, runs the tests and the linter, leans on language intelligence to stay consistent with the codebase, and watches the application respond, all within the environment that is already running. The supporting tools and sidecars it needs are provisioned alongside it.
It works inside guardrails. An agent is scoped to the workspace it is in, grounded in your organization's context, and blocked from anything sensitive. Its work lands as a pull request that engineers review with their normal tools. The bar for what ships does not move, which is precisely why engineering teams trust the output.
fig.4 · inside the environment
Agent at workreal tools, real environment
Reads live code
Works against the running system, not a snapshot.
Runs tests & lint
Verifies the change with the project's own checks.
Language intelligence
Keeps edits coherent across the codebase.
Opens a PR
Hands off through normal review.
Figure 4. Agents act with real tools and sidecars, then hand off through a pull request.
A change does not run in a single container. Soffi spins up ephemeral sidecar containers, each with its own guardrails, to do one job and report back.
Because the environment can fork the existing codebase cheaply, checks that would normally queue up can run side by side. A type-check, a test suite, and a build verification each get their own short-lived container, run in isolation, and return a result without interfering with the change you are looking at or with one another. Each sidecar is scoped to its task and nothing more, so parallelism never widens what any one process can touch, and when a sidecar finishes it reports back and disappears.
- Not just one containerA change fans out across many short-lived containers working at once.
- Cheap, isolated forksForking the codebase to run a check is fast and leaves the workspace untouched.
- Task-scoped guardrailsEvery sidecar can do its job and nothing else.
A control plane watches every container live. When something breaks, it does not just report the failure, it repairs it.
Containers fail. A dependency goes missing, a process crashes, the app stops compiling. Because monitoring sits outside the workspace in the control plane, that failure is still visible even when the container itself is down, and it is surfaced in plain terms rather than buried in logs a non-engineer could never read.
More than that, the control plane acts. For the class of problems that stop the running app from compiling, it can apply an automatic fix and bring the preview back, so a broken state becomes a brief blip instead of a dead end.
fig.5 · control plane
Live monitoringoutside the workspace, always on
1
Detect
A container fails or the app stops compiling.
2
Report
The control plane surfaces the real error in plain terms, even if the container is down.
3
Repair
It automatically fixes issues that block compilation and restores the live preview.
Figure 5. Monitoring lives in the control plane, so failures are caught and compile-breaking issues are repaired automatically.
While a change is in progress, Soffi checkpoints constantly, so every step is saved and any step can be undone.
Each edit becomes its own checkpoint commit, and all of it stays confined to the change's worktree and the ephemeral containers around it. None of it touches your real branches. When the change is ready, those checkpoints are squashed into a single clean commit for the pull request. When it is abandoned, the worktree and its containers are torn down and the checkpoints go with them, leaving no trace.
fig.6 · checkpoints & squash
During the change
Checkpoint commits
→
On finish
Squashed to one commit
→
Hand off
Clean pull request
or discard · worktree & containers torn down, nothing remains
Figure 6. Every change is checkpointed inside its worktree, then squashed into one clean commit or thrown away entirely.
04Grounded in reality
Grounded in your organization
A change is only as good as the context behind it, and in a large organization that context is scattered across a dozen systems. Soffi pulls it together so that no change starts from a blank prompt. More importantly, it helps answer the questions that actually matter: what to work on, how to verify a change meets your design and code standards, and whether it truly solves the problem.
fig.7 · context, retrieved per change
Retrieved on demand
The right context, loaded into every change
Where the work starts
Linear & Jira
The issues and tickets already on the roadmap.
PostHog & analytics
How the product is actually used.
Customer support
What users are asking for, in their words.
How your system is understood
Whole-app structure
The architecture is analyzed so generated code fits the system.
Codebase retrieval
Every file indexed and vectorized, with the relevant pieces loaded as needed.
Design system, PRDs & brand
Your product's source of truth for how things should look and behave.
Figure 7. Work starts from real demand; generation is grounded in how your system is actually built.
No change starts from a blank prompt. Every one begins from your roadmap, your data, and your design system.
Soffi connects to the places where work actually originates. It pulls from Linear and Jira for what is already on the roadmap, from PostHog and your analytics for how the product is really used, and from customer support for what users are asking for. A change can begin from a real ticket or a real pattern in the data, and it stays tied to the reason it is being made.
Underneath, Soffi analyzes the entire application's structure so that generated changes fit how the system is built, and it indexes and vectorizes every file in the project. For each change, the most relevant pieces are retrieved and loaded into the agent, so the context is always current and always scoped to the work at hand. That precision is not only about accuracy: a tighter, more relevant context is also fewer tokens, which makes every change both faster and cheaper to produce. Better context is better economics. The design system, PRDs, and brand guidelines come along too, which matters most in exactly the enterprise products that have the most rules to honor.
Why it matters
The old path, and the new one
The change is less about any single capability and more about who can act, and how quickly. The same piece of work looks very different depending on where it has to start.
tbl.1 · the same work, two ways
| The usual path | With Soffi | |
|---|---|---|
| Getting an environment | An engineer configures services, variables, and dependencies. Hours to days. | The whole app comes up running in seconds, nothing to configure. |
| Trying a change | Write a ticket, wait for a developer, hope the idea survives translation. | Point at the running app and make the change yourself. |
| Feedback loop | Round-trips between product, design, and engineering across days. | Lint, tests, and hot reload visible the moment you make the change. |
| Context | Scattered across tickets, dashboards, support, and design files. | Roadmap, analytics, support, and design system pulled in automatically. |
| Path to production | Re-implemented by an engineer, then reviewed. | Ships directly as a reviewable pull request. |
Table 1. The work that used to take a queue and a translation now takes minutes, without leaving engineering out.
Security & trust
Built for enterprise from the start
Pointing this at a company's real systems only works if it is safe by default, so the same care that runs through the product runs through its security posture.
- Your code stays yoursEnvironments are isolated per workspace, and your repositories are never used to train shared models.
- Enterprise access controlAuthentication tied to your identity provider, with per-repository permissions enforced at every layer.
- Sensitive data stays out of reachSecrets are encrypted, sensitive files are hidden from both the interface and the agents, and activity is audit-logged in line with a SOC 2 posture.
- Nothing ships without reviewEvery change arrives as a pull request and passes through the checks your team already trusts.