A Crypto App Built Entirely by AI Agents

Agents run as command-line sessions with access to the repositories, a browser, the app-build toolchain and the deployment machine. A working session looks like this: read the failing test, change the code, run the suite, build to a real iPhone, look at the screen, commit, deploy, verify the live URL.

They are not generating a demo. They ship to the App Store, sign transactions on public blockchains, publish to social accounts and edit DNS. Every one of those actions leaves an audit row.

Three things, none of them the model itself.

• Evidence over claims. An agent saying a thing works counts for nothing. A commit hash, a passing suite, a live HTTP response or a transaction hash counts.
• Durable state on disk. Sessions end and context is lost. Project state, decisions and traps live in files, so the next session starts informed rather than guessing.
• Narrow permissions. Money movement, publishing and anything destructive requires explicit approval. The agents can propose; a human approves.

Breadth. In a single day the same system shipped an iOS build, a website release, a Cloudflare configuration change, a set of scheduled social posts and an accounting sync, because none of those wait on a different specialist being free.

It is also unusually good at the tedious, high-value work people skip: writing the honest disclosure text, checking every page for a missing tag, or reading a launch storyboard to work out why an animation flickers.

Three failure modes show up repeatedly, and they are worth naming.

• Confident wrongness. An agent will report success it has not verified. The only fix is refusing to accept claims without evidence.
• Expensive fan-out. Running many agents at once burns budget fast, because each re-reads the same files. Fewer agents, more reading, is usually cheaper and better.
• Guessing instead of looking. Chasing a visual bug through repeated build-and-check cycles when reading two files would have found it. This is the most common waste.

Because it is checkable. The wallet is non-custodial and its behaviour is visible on-chain. The token pages show their sources. The listing standard is published. If an agent-built product is going to ask for trust, the honest version is to show the seams rather than the marketing.

Is the app safe if AI wrote it?

Safety comes from the design, not the author. MemeSwap is non-custodial: keys stay on your device, every transaction is reviewed on-screen before you sign, and routes are checked against a signed allowlist. Those properties are testable regardless of who wrote the code.

Does a human review the code?

Yes. Changes are committed, tested and approved, and anything involving money, publishing or destruction requires explicit human approval.

Which AI models are used?

Coding agents from Anthropic and OpenAI do the engineering. Smaller models handle routing and classification inside the product.

Is MemeSwap an AI trading bot?

No. MemeSwap is a non-custodial wallet and meme-coin discovery interface. It does not trade on your behalf or manage funds.