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import { fetchUsers } from "./users";
test("fetchUsers returns names", async () => {
const names = await fetchUsers(["u1", "u2"]);
expect(names).toEqual(["ADA", "LINUS"]);
});
test("batches requests", async () => {
await fetchUsers(ids);
expect(api.get).toHaveBeenCalledTimes(1);
});
export const api = {
async get<T>(path: string): Promise<T> {
const res = await fetch(BASE + path);
if (!res.ok) throw new Error(res.statusText);
return res.json();
},
};
export const getUser = (id: string) =>
api.get<User>(`/users/${id}`);
This is the actual editor
Not a mockup — a screenshot of EditVolt running on macOS, with the on-device model loaded and the assistant docked beside your code.
Everything an AI pair programmer should be
Not a plugin bolted onto an old editor — AI is wired into every surface of the IDE.
EditVolt Complete
Inline completions powered by a bundled local engine — streaming multi-line suggestions and Tab-to-jump next-edit prediction, even fully offline.
EditVolt Chat — 6 modes
Ask, Plan, Debug, Agent, Design, and Multitask modes. Pull in exactly the context you want with @-mentions: files, folders, symbols, problems, terminals, even URLs.
Agent mode with real guardrails
The agent plans, edits across files, and runs commands — every edit staged as a reviewable diff with checkpoints you can roll back. Nothing is ever auto-applied.
Local codebase intelligence
Semantic search over your repo via an on-device vector index with local embeddings. Your code is indexed on your machine — it never leaves it.
Any model, your keys
Claude, Gemini, any OpenAI-compatible endpoint, Hugging Face, or fully local models via Ollama. Bring your own keys — requests go direct to the provider, no middleman.
Private by design
Zero telemetry — structurally removed, not just switched off. A strict local-only mode, an ignore file for sensitive paths, and API keys in your OS keychain. Sign-in is optional, and never gives us your code.
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