About
Software should start with a sentence.
code-anything.com exists to collapse the distance between an idea and a working, hosted product. This is the long version: the problem we are attacking, how the platform actually works, what we believe, what we refuse to do, and where it is going next.
The short version
What code-anything.com is
code-anything.com is an AI app builder. You describe an application in plain English, and an agent plans it, writes it, and runs it in a live preview you can click through. Every project that needs one gets a Postgres data layer, sign-in, and the sending and payment code written in from the first prompt, so what you are looking at reads and writes real rows rather than convincing placeholder data. When it is right, you go live to a real URL.
There is a second path for people who already have a codebase. Connect a GitHub repository, describe the change you want, and the agent reads the repo, makes the change in an isolated sandbox clone, proves that it typechecks, passes tests and builds, and opens a pull request. Nothing is merged for you. The review step is not a formality we added for comfort — it is how the system stays safe to use on code that matters.
Those two paths cover two different frustrations that turn out to be the same frustration. One is not being able to build the thing at all. The other is being perfectly able to build it and having a backlog of changes that nobody has the afternoon to start. In both cases the bottleneck is not the idea, and it is not the typing — it is everything that has to be assembled around the idea before anyone can look at it.
This page is about the why. If you want the mechanics instead, the platform walkthrough follows both paths end to end, the capabilities index breaks each part out on its own page, the documentation is the step-by-step version, and pricing states plainly which capabilities belong to which plan.
The problem
Most software dies in the gap between the idea and the first deploy
Not because the idea was bad. Because the distance between wanting something and having something running is measured in decisions, and every decision is a place where a project can quietly stop.
A stack decision you cannot evaluate
The first question a new project asks is the one you are least equipped to answer, because the consequences only show up months later. Most people either freeze here or pick something on a recommendation and hope. Either way, nothing has been built yet.
A backend before a first screen
Anything worth building stores something. That means a database, a schema, migrations and a connection to manage — work that produces nothing anyone can look at, done before the part you actually wanted to make.
Auth is never the interesting part
Sign-up, sign-in, sessions and password flows are a prerequisite for almost every real product and a source of pride for none of them. They have to be right, they take days, and they are identical in every project you will ever build.
Charging money is its own project
The moment a product needs to take payment, checkout, webhooks and receipts become a second body of work with its own failure modes. Plenty of ideas get shelved at exactly this line, one step short of being a business.
Deploying is a separate skill
Working on your machine and working on the internet are different achievements. Build pipelines, environment variables, TLS and DNS are a discipline of their own, and they sit between a finished thing and anyone else seeing it.
And shipping is where the work starts
A deploy that quietly breaks is worse than one that never happened, because now someone is relying on it. Knowing that a project is still healthy is ongoing work that nobody budgets for when they estimate the build.
None of these six is hard in the sense of being intellectually difficult. Each one is well-documented, has an obvious best practice, and has been solved several million times. That is exactly the problem: they are compulsory, repetitive, and completely orthogonal to whatever made the idea worth having. The people best placed to know what a piece of software should do — the operator who runs the process by hand every week, the founder who has heard the same customer complaint forty times — are usually the people least equipped to get past step one.
The result is a quiet, invisible failure mode. Software does not get rejected; it just never gets built. Internal tools stay as spreadsheets. Products stay as documents. A backlog of changes to an existing codebase stays a backlog because each item is a half-day of context reloading for twenty minutes of actual work. You can see the shape of what people would build if this were easier in the use-case library and the solution pages by role and industry — dashboards, booking flows, storefronts, portals, internal admin. Ordinary software, mostly unbuilt.
The approach
Describe it, watch it build, check it, then decide to ship it
One platform with two entry points. Both run on the same sandbox, the same managed backend, and the same rule about who presses the irreversible buttons.
The create path: prompt to a live, hosted app
One or two sentences is a valid brief. The agent turns it into a plan you can read and correct, starts a sandbox, writes the backend layer into it from vetted bricks, and builds into a preview that updates as you talk. You can start from a template so the first screen already looks like something, attach a reference image when you know how it should look, or click the element you mean in the preview instead of describing which of four headings you meant. When it is ready, Go Live deploys it to a real URL.
The edit path: repository to a reviewed pull request
Connect a repository and the agent indexes it semantically and by symbol, so it can answer the questions a reviewer would ask: where is this defined, who calls it, what breaks if it changes shape. It then works in a sandbox clone where it cannot damage anything, runs the typecheck, the tests and the build, and opens a pull request with the results attached. You read a diff instead of writing one, and the merge button stays yours.
Code intelligence · Sandbox verification · GitHub pull-request agent
The reason both paths share a shape is that we think the interesting question in AI software is not can a model write this — increasingly it can — but what has to be true before you should trust the result. Our answer is that the work has to happen somewhere it cannot cause damage, it has to be checked by something that does not care about being right, and it has to arrive in a form a human can accept or reject. That is the whole design. Everything else is detail.
Why it differs
What separates a platform from a code generator
A generator hands you files. A platform has to hand you something that runs, keeps running, and can be changed again next week without you reading all of it first.
It plans before it writes
Rather than emitting files the moment you finish typing, the agent works out the screens, the data model and the flows first, and shows you that plan. A wrong assumption gets corrected in one sentence instead of surfacing three hundred lines later, which is the difference between steering and starting over.
The backend is real, not stubbed
Every project that needs one gets a real Postgres schema, a vetted data-access layer, sign-in and the payment and sending code written in. The preview reads and writes actual rows, so what you are judging is the product rather than a screenshot with plausible-looking placeholder data in it.
Changes are checked before you see them
Work happens in an isolated sandbox, and the change has to typecheck, pass tests and build before it is handed back. That gate is what makes the output worth reading: your attention goes on whether the change is right, not on whether it compiles.
Delivery is a pull request, not a push
When the agent changes a repository you already own, it works in a clone and opens a pull request. Nothing is merged silently. A bad run is thrown away with the sandbox instead of being reverted out of your history, and the merge button stays exactly where it has always been.
Every build leaves a checkpoint
Repository → Changes keeps a version history of build checkpoints, and the sandbox can be rewound to any of them. The current state is snapshotted before a rewind, so the rewind is itself reversible — you are never trading one irreversible action for another.
Monitoring is treated as part of the product
A builder that stops caring at the deploy step has handed you the easy half. Continuous workspace monitoring watches builds, deploys and previews so a broken release is something you are told about rather than something a customer discovers for you.
Read together, those six describe a single opinion: the model is the least interesting part of an AI builder. Models improve on their own schedule and everyone gets the improvement at roughly the same time. What does not arrive for free is the scaffolding around the model — the plan you can correct, the real database behind the preview, the checks that run before you look, the pull request, the checkpoint you can rewind to, the health check that notices when a deploy goes wrong. That scaffolding is where a demo becomes a product, and it is where almost all of the work has gone.
Each piece is written up on its own page if you want the detail rather than the argument: what the verification gate actually runs, how a repository is indexed and read, what the pre-wired backend writes for you, and what monitoring watches after launch. Which of these are included at which price is on the pricing page — repository pull requests, Stripe payments in a generated app and continuous monitoring are paid-plan capabilities, and we would rather you learned that here than after signing up.
What we believe
The principles we build by, and what each one costs us
A principle that costs nothing is a slogan. These six each rule something out that would otherwise have been easier or more profitable, which is how you can tell they are load-bearing.
Describing software should be enough
The ability to build software should not be gated on having learned a framework. A clear description of what a thing does, who uses it and what it has to handle is a legitimate specification, and treating it as one is the entire premise of the product. That is also why the interface is a conversation rather than a form: you are allowed to change your mind halfway through a sentence, the way you would with a colleague.
Your code stays yours
You own the code and content you create with the service, and we claim no ownership of your projects. That is written into the terms, not just the marketing. It also shapes the architecture: what gets generated is ordinary software on ordinary services, so leaving is always possible. A product you cannot walk away from is not something you own.
Nothing irreversible happens without a person
The rule the platform is designed around is simple: automate everything reversible, and stop at everything that is not. Planning, provisioning, writing and checking are automated. Merging a pull request, going live and pointing a domain are decisions, and decisions belong to you. This is deliberately slower than pushing straight to your main branch, and we think that is the correct trade.
Boring infrastructure beats a clever runtime
It would be easier to build on a proprietary runtime that only we understand, and it would make the product much harder to leave. Instead, projects run on named, well-understood services — Postgres on Supabase, hosting on Cloudflare, payments through Stripe. A generated app talks to Postgres the way any application talks to Postgres, and that ordinariness is the feature.
Say what is true, including what is missing
Our security page states plainly that we hold no formal certifications and do not claim any. Our roadmap is labelled as directions rather than promises. Our pricing page names exactly which capabilities sit behind which plan. Being specific about the gaps is what makes the rest of the claims worth believing, and it costs less in the long run than being found out.
Shipping is the start, not the finish
The interesting problems begin the moment real people use something. That is why the platform does not end at the deploy button: health checks, alerts and a version history you can rewind to are treated as core, not as an operations add-on for later. Anything else would be optimising for the demo instead of the product.
The one that governs the rest is the third: automate everything reversible, stop at everything that is not. It is why a repository change is a pull request rather than a commit, why going live is a button you press rather than something that happens when the build turns green, and why a rewind snapshots the current state before it runs. It makes the product slower to use in a few specific places, and it is the reason it can be used on work that matters. The concrete version of that promise — how builds are isolated, how change control works, how data is handled — is on the security page, and what is collected and who processes it is in the privacy policy. The commercial terms, including the ownership language quoted above, are in the terms of service.
How it is built
Whose infrastructure this runs on, named service by service
We do not reinvent foundations. Every project is assembled from services you could have chosen yourself — which is exactly what makes the result yours to keep.
There is a version of this product that runs on a proprietary stack nobody outside the company understands. It would be simpler to operate and much harder to leave, and we think that trade is the wrong way round. So the generated app talks to Postgres the way any application talks to Postgres, hosting is a normal edge deployment, and payments are Stripe. The wiring is written for you and there are no accounts to create before you see something running — connecting the live services is a later, explicit step, and for Stripe and Resend it is your own account — but nothing about the result is exotic.
Cloudflare — sandboxes, hosting, edge
Build sandboxes, hosting and content delivery run on Cloudflare, served from its global edge with TLS. It is the same infrastructure serving the page you are reading right now.
Supabase — Postgres and authentication
Ordinary Postgres per project, plus sign-up, sign-in and session handling. The tables, the migrations and the access code are generated alongside the app, so none of it has to be hand-rolled afterwards — the Supabase project it runs against can be ours or one you own.
Stripe — payments and billing
Checkout, payments and billing are handled by Stripe, both for the projects you build and for the plans on this site. Nobody should be inventing their own card handling.
Resend — transactional email
Confirmations, password flows, receipts and notifications — the messages an application has to be able to send before anyone other than its author can use it.
GitHub — repositories and pull requests
Repository access and the pull-request workflow run through GitHub, so a change proposed by the agent arrives in the same place, and the same shape, as a change proposed by a colleague.
Gemini, GLM and Mercury — the models doing the writing
Planning, writing and editing are done by third-party models we reach through our own gateway: Gemini from Google, GLM from Z.ai/Zhipu served via Together.ai, and Mercury from Inception. Which one takes a turn depends on the work — a plan is promoted to a stronger model than a one-file edit. We name them rather than hiding them behind a house brand, because which model is reading your code is something you are entitled to know. The set changes as models change, and the privacy policy carries the current list.
These are the subprocessors listed in our privacy policy, named individually rather than summarised — including each model provider by name — so you can see who touches what before you decide to trust us with it. That page is the copy we keep current when the model set changes. If a project needs to reach beyond the defaults — other data sources, sign-in providers, notification channels — the integrations directory is where to check what connects and what connecting it gives you. All product names and logos are the property of their respective owners.
Boundaries
What we deliberately do not do
This list is more informative than a feature list. A feature can be added next quarter; these are positions, and we intend to keep them.
We do not push to your repository
Changes to a codebase you own arrive as a reviewed pull request, every time. There is no mode that commits straight to your main branch, and we are not planning to add one — the review step is the safety model, not a setting.
We do not lock you into a bespoke runtime
What gets generated is ordinary application code on ordinary services. There is no proprietary framework you would have to learn, and no translation layer you would have to unpick if you decided to take the project elsewhere.
We do not claim certifications we have not earned
We hold no formal security certifications today, and our security page says so in those words. If we complete an independent audit or earn a certification, it will be listed there — not implied by a badge in a footer in the meantime.
We do not sell your personal information
What we collect is what the service needs to run: your account details, the projects and prompts you create, and basic usage logs. The providers who process it on our behalf are named individually in the privacy policy rather than summarised as a vague set of trusted partners.
We do not publish numbers we cannot stand behind
You will not find an uptime percentage, a latency figure, a customer count or a revenue milestone anywhere on this site, because we are not in a position to substantiate one. Illustrative figures inside product artwork are exactly that, and are never presented as measurements.
We do not advertise what has not shipped
Shared team workspaces with roles, for example, are on the roadmap and described there as planned — a project has a single owner account today, and we say that plainly rather than implying otherwise. Anything still ahead of us lives on the roadmap page, under a heading that says so.
There is also a category of thing we do not do because it is genuinely outside what the product is good at, rather than because of a principle. An agent is not the right tool for work whose difficulty is judgement rather than construction: original art direction, a regulated compliance review, a novel algorithm that has to be provably correct, a performance problem that only reproduces under real production load. Those limits are set out candidly on the platform page, and the comparison pages are written the same way, including the situations where a different tool is the better answer for you.
Direction
Where the product is heading, and how we decide
Published as three honest buckets rather than a release schedule: what is being built now, what is planned next, and what we are still weighing.
Now — depth over surface area
The current work is about making what already exists better rather than longer: deeper workspace monitoring and clearer live status, more starter templates so new projects begin further down the road, faster preview builds to keep the feedback loop tight, and alerting with more signal and less noise.
Next — collaboration and reach
Planned, not shipped: shared team workspaces with roles, so more than one person can build and review in the same project; a wider set of integrations for the services people already use; and scheduled jobs so recurring work can be managed for you rather than by you.
Exploring — not yet committed
Ideas we are weighing rather than promising: a marketplace for community-built starting points, lightweight and privacy-respecting usage insight for deployed projects, multi-region deploys, and code intelligence informed by the whole workspace rather than a single change.
How we choose between them is not sophisticated. The roadmap is steered by what people actually build and where they actually get stuck, which is why feedback about a specific failure is worth more to us than a feature request in the abstract. Everything on the roadmap is directional and subject to change, and we label it that way rather than implying a date we have not earned the right to give.
The forward-looking view lives on the roadmap, and the changelog is where shipped work gets recorded — the entries there are currently marked as illustrative examples prepared for launch rather than a verified historical record, and they say so on the page, because a fabricated release history would be a strange thing to ask you to trust. Requirements that only larger organisations tend to have — single sign-on, an exportable audit trail, a signed data-processing agreement — are handled case by case and set out honestly, including what is not available, on the enterprise page.
Get in touch
How to reach us
Three addresses, so the message lands in the right place. We would rather hear the specific thing that went wrong than a polite general impression.
Questions, feedback and ideas
Product questions, feature requests, or a description of the thing you wanted to build and could not. Feedback is what moves items up the roadmap, so specifics help more than praise.
hello@code-anything.comSecurity disclosure
If you believe you have found a vulnerability, tell us before disclosing it publicly. Send details and steps to reproduce; good-faith reports are welcome and we will work with you to resolve confirmed issues.
security@code-anything.comPartnerships
Agencies, template authors, tool builders and anyone whose service would make sense inside a generated project. Tell us what you build and who it serves.
partners@code-anything.comIf you would rather read than write, the documentation answers most practical questions, the community page is where the shared channels will appear as each one opens, and the showcase collects projects people have published from the platform. The legal detail sits in the terms, the privacy policy and the security page.
FAQ
Frequently asked questions about code-anything.com
The questions people ask before they trust a build agent with anything real — answered without hedging, including the ones where the answer is no.
- You own the code you create — we claim no ownership of your projects
- Repository changes arrive only as a pull request you review and merge
- Named providers, named subprocessors, and no certifications we have not earned
Build something today.
Start free — describe an app or connect a repo. The sandbox, the database, the auth and the email are already handled.