Acquisition status: Continue's official site says Continue has joined Cursor. Continue is therefore a historical product on aicoolies, not a current independent option. The feature sections below preserve the pre-acquisition comparison as historical context; present-tense descriptions of Continue are not claims of current availability, support, pricing, or roadmap.
Acquisition Outcome
Cursor and Continue are no longer independent rivals: Continue's official site says it has joined Cursor. The historical comparison remains useful because it documents the product qualities that motivated old Continue deployments, but a current decision should start with migration requirements and Cursor's current product, not with a binary choice between two maintained products.
Historical Product Snapshot
Cursor is an AI-native editor built as a fork of VS Code, with the assistant woven into the experience rather than bolted on. Its Composer agent can plan and execute multi-file edits, the inline chat (Cmd-K) handles surgical refactors, and Tab completions are tuned on Anthropic and OpenAI frontier models. The product is paid (Pro at $20/month, Business at $40/seat), runs against a curated set of hosted models, and prioritizes low-friction defaults over configurability.
Continue is a free, Apache-2.0 licensed extension for VS Code and JetBrains that brings inline completions, chat, and slash commands without forcing a model choice. The architecture is provider-agnostic: you point it at OpenAI, Anthropic, Mistral, Ollama, vLLM, OpenRouter, AWS Bedrock, or any OpenAI-compatible endpoint, and the extension handles the rest. Configuration lives in a JSON file you commit alongside your repo.
On common ground, both deliver inline edits, chat-with-codebase, and autocomplete inside the same editor families developers already use. The split shows up in three places: who controls the model, how polished the agent flow feels, and whether the bill is yours or your provider's. Cursor optimizes for a fast first ten minutes; Continue optimizes for control over months of use.
Legacy Model Control and Data Sovereignty
Continue's BYOK story is its strongest argument. A team running Llama 3.1 on a vLLM server behind a corporate firewall can use Continue without any data leaving the network — completions, chat, and embeddings all route through the local endpoint. The same config can fall back to GPT-4 for hard problems and to a cheap local 7B model for autocomplete, with rules per file type or directory.
Cursor takes the opposite trade. The product hides the model layer behind a single subscription, with frontier model access (Claude Opus, GPT-5, Gemini) baked into the price. You cannot point Cursor at a private model server, cannot run it air-gapped, and your prompts plus partial code context flow through Cursor's infrastructure. For teams in regulated industries — healthcare, defense, financial services with strict data residency — that constraint is a non-starter.
For everyone else, Cursor's model strategy is a feature, not a bug. The team handles model routing, context window management, and quality regression testing across providers, so users get consistent behavior without tuning prompts or chasing API key budgets. Continue's flexibility costs configuration time and the burden of choosing which model fits which task.
Migration to an Active Workflow
The agent experience is where Cursor pulls clearly ahead today. Composer can read multiple files, propose a plan, edit across the codebase, run terminal commands, and iterate on test failures in a tight loop with minimal handholding. The diff review UX, the way it batches changes, and the reliability of multi-file edits are all noticeably more polished than what plugin-based agents currently offer.
Continue's agent story is catching up — the extension has slash commands, custom context providers, and rule-based routing — but it stops short of Cursor's full Composer flow. For inline edits and chat-with-context, Continue is competitive; for "go fix this issue across five files," Cursor finishes faster with fewer manual interventions. The gap narrows in pure code-completion, where both feel similar.
Current Recommendation
Cursor remains the top recommendation and the first product to evaluate because it is the active product from Continue's acquiring company, but acquisition alone does not guarantee feature parity. Existing Continue users should treat the legacy discussion above as an inventory aid, compare model providers, rules, context sources, IDE support, privacy requirements, and CI integrations against Cursor, and choose another active product when a required capability has no confirmed migration path.
