Continue

★★★★ 4.3
VS
Coolify icon

Coolify

★★★★★ 4.5
Feature Continue Coolify
Pricing Free only Free / from $5/mo
Free Plan ✓ Yes ✓ Yes
Rating 4.3 / 5 4.5 / 5
Best For developers, open-source-advocates, privacy-focused-devs, self-hosters indie-hackers, small-teams, self-hosters, privacy-conscious-developers
Founded 2023 2021
Autocomplete
Chat
Inline Editing
Multi Model Support
Context Providers
Custom Commands
Git Deployments
Database Management
Auto Ssl
Backups
Monitoring
Docker Compose
Team Management

✓ Continue Pros

  • Fully open-source (Apache 2.0)
  • Works with any LLM provider
  • VS Code and JetBrains support
  • Local model support

✗ Continue Cons

  • Requires self-configuration of LLM
  • Less polished than Copilot
  • Setup can be complex for beginners

✓ Coolify Pros

  • Self-hosted alternative to expensive PaaS platforms
  • Beautiful modern UI with git-push deployments
  • Manages databases, services, and apps in one place
  • Automatic SSL and backups included

✗ Coolify Cons

  • Self-hosting requires server management knowledge
  • Newer project with occasional stability issues
  • Documentation gaps for advanced configurations

The Verdict

Continue is built for developers and open source advocates, with a focus on autocomplete and chat. Coolify targets indie hackers and small teams and leads with git-deployments and database-management.

Continue uses custom enterprise pricing, while Coolify starts at $5/mo — a tangible advantage for teams with a fixed budget.

Both offer free plans, so you can test each with your real workflow before committing to a subscription.

Feature-wise, Coolify offers broader built-in capabilities (7 features vs 6), while Continue takes a more focused approach — which can mean a simpler, faster onboarding experience.

Both tools are a solid fit for self hosters — in those cases, the decision often comes down to workflow style and how your team prefers to organize work.

This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.

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