Side-by-side

Continue vs Bolt

ContinueBolt

Bottom line: Continue for software development teams wanting configurable AI tooling; Bolt for entrepreneurs and founders launching MVPs quickly.

	Continue Continue is an open-source AI coding assistant that brings autocomplete, in-IDE chat, and agentic edits to VS Code and JetBrains, with support for any model. Visit	Bolt Bolt is an AI-powered full-stack application builder that generates websites and apps through natural language chat Visit
Votes	0	0
Pricing	Freemium	Freemium
Category	Coding	Coding
Tags	write-code	write-codebuild-appsbuild-websites
Best for	Software development teams wanting configurable AI tooling Developers who value open-source transparency Engineering organizations standardizing workflows with custom agents	Entrepreneurs and founders launching MVPs quickly Product managers prototyping ideas before committing engineering time Marketers building campaign and landing pages
Pros	Open-source foundation gives teams full transparency into how the assistant behaves and the freedom to adapt it to their own workflows. Works across major editors including VS Code and JetBrains, fitting into existing developer environments rather than forcing a tool switch. Custom AI agents can be source-controlled and shared, letting teams encode their own standards and reuse consistent automation across projects. Flexible model access through a credit system means teams can choose frontier models that match their needs instead of being locked to one provider. Integrations with Slack, Sentry, and Snyk extend AI assistance beyond the editor into the wider development and incident workflow.	Generates complete, deployable full-stack projects from a chat prompt, collapsing scaffolding, coding, and hosting into one workflow Bolt Cloud bundles hosting, unlimited databases, authentication, analytics, and custom domains, removing the need to wire together separate backend services Supports importing real design systems and brand component libraries, so output can stay production-oriented and on-brand rather than generic Automatic model routing picks an appropriate AI model per task to balance quality and cost, with a higher-capability tier for demanding work Accepts imports from Figma and GitHub, making it easier to start from existing designs or codebases
Cons	The recent acquisition by Cursor creates uncertainty around the product's future direction, subscription continuity, and long-term roadmap. A credit-based model billing structure can make spend less predictable than a flat subscription, especially for teams using premium frontier models heavily. Building and tuning custom agents requires upfront configuration effort and a degree of technical comfort that casual users may find demanding. Post-acquisition, the long-term status of standalone hosting and the open-source project may shift, introducing potential lock-in or migration concerns.	Token-based pricing can make costs unpredictable, since heavy AI usage consumes tokens quickly and may require active budget management Generating complex or highly custom applications can introduce errors that require manual code review and intervention Relying on Bolt Cloud for backend infrastructure can create a degree of platform dependence that teams should weigh Less suited to large, established engineering teams with mature CI/CD and custom architecture needs than to fast-moving builders

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