Can Cursor be vibe coded?

Build brief — a focused alternative to Cursor

**Verdict:** Partly, if you narrow it · **Buildability:** 58/100 · **Category:** Dev Tools

**Source:** https://www.canitbevibecoded.com/cursor

Independent editorial assessment from Can It Be Vibe Coded? Not affiliated with, endorsed by, or derived from Cursor. Verify current pricing and capabilities before acting.

Context

**Cursor** — AI-first code editor with agents, composer, and model routing. It currently costs $20/mo.

You can assemble VS Code plus open-source agents, but Cursor's moat is editor-native agent UX, model routing, cloud agents, context handling, and rapid product iteration.

This brief describes a focused, single-operator replacement for the part of Cursor that is genuinely reproducible. It is deliberately narrower than the product it replaces, and it says so in writing. Build the useful core; do not pretend to have rebuilt the rest.

What you are building

Use VS Code/VSCodium plus an open-source agent extension, configure model APIs, index repos, and add workflows for edits/tests.

Build the focused developer workflow you use repeatedly, with local configuration.

A responsive interface with real empty, loading, success, and error states.

Requirements

Functional

VS Code-compatible editor.

Repo indexer.

Terminal/tool permissions.

Optional remote agent runtime.

Data and integrations

LLM API.

Each of these needs a real account, credential, or quota. Set them up before writing feature code.

Non-functional

Accessibility: semantic markup, labelled controls, visible focus, and reduced-motion support.

Security: server-side secrets, validated input, and no credentials in the client bundle.

Reliability: retries with backoff on external calls, and a clear failure state when a provider is down.

Portability: the operator can export their data and leave without losing it.

Implementation brief

Build me an AI coding setup to replace Cursor, assembled from parts I own.

Requirements:

Do not write an editor or an agent. Install and wire together: VS Code or

VSCodium, the Continue extension for in-editor chat, edit, and

autocomplete, and a terminal agent (aider or Claude Code) for multi-file

jobs.

Continue config at ~/.continue/config.yaml: chat and edit on Claude

Sonnet, autocomplete on a cheap fast model (Codestral, or qwen2.5-coder

via Ollama to keep completions local and free).

All API keys read from environment variables set in my shell profile,

nothing hardcoded in any config file.

Enable Continue's codebase indexing on my main repo and verify a

where-is-this-defined question retrieves the right file.

Keybindings mapped to muscle memory: cmd+K edit selection, cmd+L chat,

Tab accepts completions.

A spend check in the README: per-token API pricing vs the $20 flat fee,

and a reminder to compare the provider dashboards after two weeks of real

use.

Out of scope: cloud and background agents, Cursor's composer UX, and team

features; that iteration speed is exactly what the subscription buys.

README: install commands per OS, the full config file, and how to swap

models later.

Delivery standard

Inspect the repository first, then write a short implementation plan before writing code.

Deliver the smallest complete end-to-end workflow first; every primary control must work against persisted data.

Use real validation and storage; never substitute fake dashboards, decorative controls, hard-coded success states, or mock integrations.

Include responsive layouts plus genuine empty, loading, success, validation, and failure states.

Keep secrets server-side in environment variables, provide .env.example, and never commit credentials or user data.

Add structured logs around every external call and return actionable errors without leaking sensitive details.

Write unit tests for the core logic and one automated test of the main user journey.

Finish with a README covering setup, architecture, data location, backups, tests, deployment, and known limitations.

Acceptance criteria

A clean install starts the app using only the README and .env.example.

The primary journey works from first visit through saved result, reload, edit, export, and deletion where applicable.

Invalid input, missing configuration, provider failure, and an empty database each have a usable state.

The interface works at 390px and 1440px, is keyboard navigable, and shows visible focus on every control.

Tests, type checking, linting, and a production build all pass with no ignored failures.

No part of the interface implies a live integration, security guarantee, or scale capability that was not actually built and verified.

Non-goals

Do not build these, and do not claim to have replaced them:

Native composer/agent UX.

Model routing/credits.

Cloud agents.

Editor polish.

The last 20 percent is sync, migration fidelity, speed, and edge cases.

Model quality and inference operations are part of the product.

What you still own after launch

Secure credentials, rotate secrets, and handle provider rate limits.

Run migrations, backups, restores, and dependency updates.

Test the critical journey after every model, API, or hosting change.

Monitor failures and fix the edge cases a first prompt will miss.

Risk

**Manageable.** A personal version is realistic if you test the critical journey and keep reliable backups.

Editorial confidence in this assessment: high. No independent one-shot implementation is linked yet.

Prior art

Working open-source software you can read, fork, or borrow from before starting:

[Continue](https://github.com/continuedev/continue) — Open-source AI code assistant; closest practical DIY substitute when paired with VS Code o

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