Continue Review 2026: Build Your Own AI Coding Assistant

What Is Continue?

Continue is an open-source IDE extension that lets you assemble a custom AI coding assistant directly inside VS Code or JetBrains. Think of it as a modular framework: you pick the model, configure the context, and define how autocomplete, chat, and agents behave. Unlike closed tools that lock you into a single provider, Continue is model‑agnostic. You can swap in openai/gpt‑4, anthropic/claude‑opus‑4.7‑fast, or any other compatible endpoint. The core is free and the code lives on GitHub with over 33,653 stars. It’s built for developers who want full control over their AI workflow.

Pricing: Free Core, Optional Hosted Services

Continue’s base product costs $0/month. You install the extension, bring your own API keys, and you’re done. The open‑source repo includes everything you need for local or remote model access. If you prefer not to manage infrastructure, Continue also offers a hosted Hub with team features like shared context and usage analytics. Hub pricing starts at $20/user/month, but the core experience remains free. This is a refreshing contrast to proprietary assistants where you pay a flat monthly fee regardless of whether you use your own models. With Continue, you only pay for the API calls you make – and you can choose cheaper endpoints like openai/gpt‑4 ($30/M in, $60/M out) or premium ones like openai/o1‑pro ($150/M in, $600/M out).

Autocomplete, Chat, and Custom Agents

Autocomplete

Continue’s autocomplete is fast and context‑aware. It uses a separate, lighter model that can be configured independently. You can stick with the default (often CodeLLaMA or StarCoder) or point it at a proprietary endpoint. The suggestions appear as you type, similar to Copilot, but every detail – from debounce timing to prefix length – is configurable. In practice, accuracy is competitive, though it can lag behind GitHub Copilot in very large repos if you don’t fine‑tune the indexing settings.

Chat

The chat panel works like a conversational assistant. Highlight code, ask questions, and get inline diffs. Because you control the model, you can switch between a cheap, fast model for simple questions and a powerful reasoning model like openai/o3‑pro ($20/M in, $80/M out) for complex refactoring. The chat supports slash commands, codebase indexing, and custom instructions. The experience is polished, though less magical than Copilot’s default setup – you trade a bit of seamlessness for flexibility.

Custom Agents

Agents are where Continue shines. You can define agent “tools” – shell commands, file operations, web searches – and tie them to specific prompts. Want an agent that reads a database schema, writes migration scripts, and runs tests? You can build it in a few lines of YAML. This turns Continue into a programmable assistant, not just a chatbot. The learning curve is real, but the payoff is large for teams with repetitive code tasks.

Strengths and Weaknesses

Strengths

• Complete control. No vendor lock‑in. You choose every model, every context source, every behavior.
• Open source. Full code transparency, community contributions, and zero license fees for the core.
• Model flexibility. Use cheap models for quick fixes and expensive ones for deep reasoning – all in one tool.
• Active development. Frequent releases, responsive maintainers, and a growing ecosystem of custom agents.
• Privacy option. Run everything locally with Ollama or an internal server.

Weaknesses

• Setup complexity. New users must manage API keys, model configuration, and context indexing. The documentation is good but requires reading.
• Out‑of‑box experience. The default settings are functional but not as polished as Copilot or Codeium. You need to tweak to get optimal results.
• Dependency on API keys. You must bring your own model access. If your team has strict procurement, this can be a hurdle.

Community and Ecosystem

Continue’s GitHub repository has 33,653 stars and a vibrant community of contributors. The release cadence is roughly bi‑weekly, with frequent improvements to agent tooling, context window management, and new model integrations. The Discord server is active with help and custom config sharing. While the ecosystem is smaller than Copilot’s, it’s growing quickly. Several third‑party tools now offer plug‑and‑play model proxies that work seamlessly with Continue.

Verdict: Who Is Continue For?

Continue is best for developers who value control over convenience. If you want to pick your own models, tweak every setting, and build custom agents, it’s unmatched. If you want an assistant that works out of the box with zero configuration, Copilot may be less frustrating. Continue is also an excellent choice for teams that need to stay within a budget – use free local models or cheap API endpoints to keep costs low. Overall, it’s a powerful, flexible tool that rewards investment in setup.