Continue AI Coding Assistant vs Devin
Detailed side-by-side comparison to help you choose the right tool
Continue AI Coding Assistant
🔴DeveloperAI Coding
Open-source AI coding extension for VS Code and JetBrains — bring any model, configure custom rules, share assistants across your team.
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Starting Price
CustomDevin
🔴DeveloperAI Coding
Devin is an autonomous AI software engineer from Cognition that plans, writes, and ships code from a single prompt, running long-horizon engineering work in a cloud sandbox.
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Starting Price
$500/moFeature Comparison
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Continue AI Coding Assistant - Pros & Cons
Pros
- ✓Open-source VS Code and JetBrains extensions reduce vendor lock-in.
- ✓Supports hosted models, local models through Ollama, and internal model gateways.
- ✓Shareable configuration, rules, prompts, and documentation fit team standardization.
- ✓MCP support lets agents use external tools.
Cons
- ✗Model API charges are separate from the extension.
- ✗Flexible YAML configuration creates more setup work than a fixed assistant.
- ✗Team Hub pricing in the staged record is not publicly quantified and needs confirmation.
- ✗Output quality and latency depend heavily on the chosen model and retrieval setup.
Devin - Pros & Cons
Pros
- ✓Genuine autonomy: plans, codes, runs, and tests without constant prompting
- ✓Parallel cloud agents let one engineer drive several tickets at once
- ✓Devin Desktop (Windsurf) bundle gives you an IDE and the autonomous agent on one plan
- ✓Pro tier at $20/month is competitive with single-seat Copilot/Cursor pricing
- ✓Live session review preserves human-in-the-loop oversight
Cons
- ✗Best on repos with strong test suites; weaker when feedback signals are missing
- ✗Long-horizon tasks can burn quota quickly; Max tier exists for a reason
- ✗Cloud sandbox means sensitive monorepos need careful access review
- ✗Quality varies on greenfield or product-judgment-heavy work
- ✗Teams plan adds $40/seat on top of base, which scales fast for large squads
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