{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"bolt-new","slug":"bolt-new","name":"Bolt.new","type":"agent","url":"https://bolt.new","page_url":"https://unfragile.ai/bolt-new","categories":["app-builders","deployment-infra"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":"$20/mo"},"status":"active","verified":false},"capabilities":[{"id":"bolt-new__cap_0","uri":"capability://code.generation.editing.natural.language.to.full.stack.application.generation","name":"natural-language-to-full-stack-application-generation","description":"Converts natural language prompts into executable full-stack web applications by invoking an AI agent that generates React/Next.js frontend code, Node.js backend logic, and database schemas. The agent runs code in-browser via WebContainers to validate syntax and functionality before deployment, iterating on the generated code based on execution feedback. Token consumption scales with project complexity (larger codebases consume more tokens per iteration), and the agent supports design system imports from Figma and GitHub to accelerate UI generation.","intents":["I want to describe an app idea in plain English and have it built without writing code myself","I need to rapidly prototype a full-stack application from concept to deployed product","I want to generate boilerplate code for a React/Next.js app with backend integration (Stripe, Supabase, etc.)","I need to build a landing page, business app, or campaign site from a text description"],"best_for":["non-technical founders and product managers prototyping MVPs","solo developers accelerating initial scaffolding and boilerplate generation","teams building internal tools or proof-of-concepts with tight deadlines","designers wanting to convert Figma designs into functional React components"],"limitations":["Token consumption is proportional to project size; larger projects deplete token budgets faster (no published per-task cost baseline)","Agent decision-making loop architecture is undocumented; failure modes and recovery strategies are unknown","Complex multi-step workflows with ambiguous or contradictory requirements may exceed agent planning depth","No built-in version control or rollback; changes are committed to project state but GitHub sync is manual","Free tier limited to 300K tokens/day and 1M tokens/month; Pro tier at 10M tokens/month may still constrain large projects"],"requires":["Bolt.new account (free or paid tier)","Modern web browser with WebContainers support (Chrome, Edge, Firefox, Safari)","Internet connection for cloud backend services (Bolt Cloud)","Optional: Figma account for design system import, GitHub account for repo import, API keys for integrations (Stripe, Supabase, Netlify, Google SSO)"],"input_types":["natural language text prompts","Figma design links (for design system extraction)","GitHub repository URLs (for codebase import)","File uploads (up to 10MB free, 100MB Pro)"],"output_types":["React/Next.js component code","Node.js backend code","Database schema definitions","Deployed web application URL","Executable code running in WebContainers"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.525,"matches":1,"success_rate":1},{"id":"bolt-new__cap_1","uri":"capability://code.generation.editing.in.browser.code.execution.and.testing","name":"in-browser-code-execution-and-testing","description":"Runs generated Node.js code and React applications directly in the browser using WebContainers, a sandboxed JavaScript runtime that emulates a Linux environment. The agent automatically executes generated code to validate syntax, test functionality, and detect errors before user review. WebContainers provide filesystem isolation, process sandboxing, and network restrictions, preventing malicious code from accessing the host system. Test results feed back into the agent's iteration loop to refactor and fix errors.","intents":["I want to see my generated app running immediately without deploying to a server","I need the agent to automatically test code and catch errors before I review it","I want to run Node.js backend code in the browser for rapid iteration","I need to validate that generated code actually works before committing to deployment"],"best_for":["developers building in-browser IDEs or code playgrounds","teams requiring instant feedback loops without cloud deployment latency","non-technical users who need visual proof that code works before deployment","rapid prototyping workflows where iteration speed is critical"],"limitations":["WebContainers sandbox restrictions are undocumented; specific system calls, network access boundaries, and resource limits (CPU, memory, disk) are not publicly specified","No persistent state between browser sessions unless explicitly saved to Bolt Cloud backend","Performance constrained by browser JavaScript engine; CPU-intensive workloads may timeout or degrade","Network access limited to whitelisted domains; real-time integrations with external APIs may have latency or rate-limiting issues","Error detection claims '98% less errors' but mechanism and baseline are unverified"],"requires":["Modern web browser with WebContainers support (Chrome 90+, Edge 90+, Firefox 88+, Safari 15+)","JavaScript execution enabled in browser","Sufficient browser memory (WebContainers can consume 100MB+ for large projects)","Internet connection for cloud backend services and external API calls"],"input_types":["Generated JavaScript/TypeScript code","React/Next.js component code","Node.js backend scripts","Environment variables and configuration"],"output_types":["Rendered React application in browser","Console logs and error messages","Test results and coverage reports","Network request logs","Execution time metrics"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"bolt-new__cap_10","uri":"capability://planning.reasoning.plan.and.discussion.mode.interaction.patterns","name":"plan-and-discussion-mode-interaction-patterns","description":"Provides two interaction modes: Plan Mode (where the agent outlines a development strategy before implementation) and Discussion Mode (where the agent and user iterate on requirements and design before code generation). Plan Mode enables users to review and approve the agent's approach before code is generated, reducing wasted token consumption on incorrect implementations. Discussion Mode optimizes token efficiency by clarifying requirements upfront. The specific differences between modes and their impact on token consumption are undocumented.","intents":["I want to review the agent's plan before it starts generating code","I need to clarify requirements with the agent before implementation","I want to optimize token usage by planning before coding","I need to ensure the agent understands my requirements correctly"],"best_for":["users with complex requirements wanting to validate the agent's understanding before code generation","teams with limited token budgets wanting to optimize token consumption","projects requiring stakeholder approval of the development approach","users wanting to iterate on requirements without generating code"],"limitations":["Differences between Plan Mode and Discussion Mode are undocumented; unclear what each mode does or when to use each","Token consumption impact of each mode is unknown; no published data on token savings from planning vs. direct generation","Plan approval workflow is not specified; unclear if plans require explicit user approval or are automatically accepted","No mechanism to reject a plan and request an alternative; users cannot iterate on the plan itself","Plan-to-code transition is undocumented; unclear how plans are converted to executable code"],"requires":["Bolt.new account","Understanding of Plan Mode vs. Discussion Mode (not documented)"],"input_types":["Natural language prompts describing requirements","Feedback on proposed plans","Clarifications and requirement refinements"],"output_types":["Development plan or strategy","Clarified requirements","Generated code (after plan approval)"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"bolt-new__cap_11","uri":"capability://code.generation.editing.mobile.app.generation.with.expo.integration","name":"mobile-app-generation-with-expo-integration","description":"Generates React Native mobile applications using Expo framework and integrates with Expo services for building, testing, and deploying iOS and Android apps. The agent generates Expo-compatible code with native module support and can configure Expo build services for over-the-air updates and app store deployment. Mobile app generation follows the same natural language prompt interface as web apps, abstracting platform-specific complexity.","intents":["I want to generate a mobile app for iOS and Android from a text description","I need to build a cross-platform app using React Native without learning native development","I want to deploy my mobile app to the App Store and Google Play","I need to set up Expo for mobile app building and distribution"],"best_for":["non-technical founders wanting to build mobile apps without native development knowledge","teams building cross-platform apps with shared codebase between web and mobile","rapid prototyping workflows requiring fast mobile app iteration","developers familiar with React wanting to extend to mobile platforms"],"limitations":["Expo integration details are undocumented; unclear what Expo services are supported (EAS Build, EAS Submit, etc.)","Native module support is mentioned but not detailed; unclear which native libraries can be integrated","Platform-specific code generation (iOS vs. Android) is not documented; unclear how platform differences are handled","Expo build service integration requires Expo account and credentials; no built-in credential management documented","Over-the-air update configuration is not detailed; unclear how updates are deployed and managed","No documented support for native code (Swift, Kotlin); limited to React Native and Expo ecosystem"],"requires":["Bolt.new account","Expo account for building and deploying apps","Optional: Apple Developer account for iOS deployment","Optional: Google Play Developer account for Android deployment"],"input_types":["Natural language prompts describing mobile app requirements","Design specifications for mobile UI","Expo configuration details"],"output_types":["React Native code","Expo configuration files (app.json, eas.json)","Built iOS and Android apps","App Store and Google Play deployment links"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"bolt-new__cap_12","uri":"capability://memory.knowledge.context.aware.codebase.analysis.and.indexing","name":"context-aware-codebase-analysis-and-indexing","description":"Indexes the project filesystem and codebase to provide context-aware code generation and completion. The agent analyzes existing code structure, imports, dependencies, and patterns to generate code that integrates seamlessly with the existing project. Token consumption scales with project size because the entire codebase is indexed and included in the context window. The indexing mechanism and compression strategy are undocumented.","intents":["I want the agent to understand my existing codebase and generate code that fits my patterns","I need the agent to respect my project structure and naming conventions","I want to extend an existing project without rewriting boilerplate","I need the agent to avoid generating duplicate code or conflicting implementations"],"best_for":["developers extending existing projects with new features","teams with established code patterns wanting to maintain consistency","projects with complex interdependencies requiring context-aware generation","refactoring workflows where the agent needs to understand existing code"],"limitations":["Indexing mechanism is undocumented; unclear how codebase is parsed, compressed, or included in context","Token consumption scales with project size; large projects may consume prohibitive amounts of tokens per interaction","No documented way to exclude files or directories from indexing; entire codebase is analyzed","Indexing frequency is unknown; unclear if codebase is re-indexed on every interaction or cached","No visibility into what context is actually sent to the model; users cannot optimize context inclusion","Circular dependencies or complex import graphs may confuse the agent's understanding"],"requires":["Bolt.new account","Existing project with codebase to analyze","Sufficient token budget for large projects"],"input_types":["Existing codebase files","Project structure and dependencies","Natural language prompts for new features"],"output_types":["Generated code matching existing patterns","Integrated features respecting project structure","Updated dependencies and imports"],"categories":["memory-knowledge","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"bolt-new__cap_13","uri":"capability://planning.reasoning.plan.and.discussion.mode.for.iterative.refinement","name":"plan-and-discussion-mode-for-iterative-refinement","description":"Provides 'Plan Mode' and 'Discussion Mode' features that enable iterative refinement of applications through conversation. Users can discuss design decisions, ask the agent to plan features before implementation, and refine requirements through dialogue. The agent maintains conversation context and can adjust implementation based on feedback without losing project state.","intents":["I want to discuss my app idea with the AI before it starts building to ensure it matches my vision","I need to iterate on features through conversation, refining requirements as I go","I want the agent to explain its implementation decisions and suggest alternatives"],"best_for":["non-technical users wanting to collaborate with AI on application design","teams exploring multiple design options before committing to implementation","iterative development workflows where requirements evolve through discussion"],"limitations":["Plan and Discussion Mode mechanisms not documented — unclear how they differ from standard generation mode","No mention of plan approval gates — unclear if users must approve plans before implementation","Conversation context management not documented — unclear how long discussions can continue before context loss","No explicit mention of decision history or rationale tracking"],"requires":["Bolt.new account (any tier)","natural language communication with the agent"],"input_types":["natural language questions and feedback","design preferences and constraints","feature requests and refinements"],"output_types":["implementation plan (Plan Mode)","generated code (Discussion Mode)","design suggestions and alternatives"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"bolt-new__cap_14","uri":"capability://memory.knowledge.project.storage.and.persistence.in.bolt.cloud","name":"project-storage-and-persistence-in-bolt-cloud","description":"Stores generated and edited Bolt projects in Bolt Cloud infrastructure, providing persistent storage across browser sessions and device access. Projects are associated with user accounts and can be accessed from any browser. Storage limits are 10MB (free tier) and 100MB (Pro tier). Projects can be shared publicly or privately (private sharing requires Pro tier). No documented export format or data portability mechanism; projects are locked into Bolt's infrastructure.","intents":["I want to save my Bolt project and access it from different devices or browsers","I need to share my project with teammates or stakeholders without giving them full edit access","I want to keep my projects organized in a dashboard without managing files locally"],"best_for":["users wanting cloud-based project management without local file storage","teams collaborating on shared projects across devices","rapid prototyping workflows where project persistence is essential","non-technical users unfamiliar with local file systems"],"limitations":["Vendor lock-in: no documented export format or data portability; projects are locked into Bolt's infrastructure","Storage limits are hard caps (10MB free, 100MB Pro); large projects fail to save silently","Private project sharing requires Pro tier ($25/month); free tier limited to public projects","No mention of project versioning, snapshots, or rollback (version history mentioned in docs nav but not detailed)","No mention of data retention policy or account deletion procedures","No mention of encryption at rest or in transit; security posture unclear"],"requires":["Bolt account (free or paid)","Internet connection for cloud storage access","Project size under tier-specific limits (10MB free, 100MB Pro)"],"input_types":["generated or edited project code","project metadata (name, description, visibility)"],"output_types":["persisted project in Bolt Cloud","shareable project URL","project dashboard with list of saved projects"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"bolt-new__cap_15","uri":"capability://planning.reasoning.plan.and.discussion.mode.for.iterative.refinement","name":"plan-and-discussion-mode-for-iterative-refinement","description":"Provides a 'Plan' mode that allows users to discuss and refine application requirements before code generation begins, and a 'Discussion' mode for iterative refinement after generation. The agent can break down complex requirements, ask clarifying questions, and validate understanding before committing to code generation. This reduces iteration cycles by ensuring requirements are clear before implementation.","intents":["I want to discuss my application idea with the AI before it starts coding","I need the agent to ask clarifying questions about ambiguous requirements","I want to refine my requirements iteratively before committing to implementation","I need to validate that the agent understands my requirements correctly"],"best_for":["users with vague or evolving requirements","teams collaborating on application design before implementation","complex applications requiring detailed planning","users wanting to minimize iteration cycles and token consumption"],"limitations":["Plan and Discussion modes not technically documented; unclear how they differ from standard conversation","Planning algorithm not documented; unclear how the agent breaks down requirements or generates plans","No indication of whether plans are persisted or used to guide code generation","Unclear if Plan mode reduces token consumption or merely changes interaction pattern","No metrics on whether Plan mode actually reduces iteration cycles"],"requires":["Clear initial description of application idea (even if vague)","Willingness to engage in iterative discussion before implementation"],"input_types":["natural language application description","clarifying questions from the agent","refinements and feedback from the user"],"output_types":["structured application plan","clarified requirements","implementation roadmap","generated code (after planning is complete)"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"bolt-new__cap_2","uri":"capability://code.generation.editing.iterative.code.refactoring.and.error.correction","name":"iterative-code-refactoring-and-error-correction","description":"The agent automatically detects errors from code execution feedback (console logs, test failures, runtime exceptions) and refactors generated code to fix issues. It uses a feedback loop where execution results inform the next generation step, allowing the agent to retry failed operations, fix syntax errors, and optimize code without user intervention. The claimed '98% error reduction' suggests automated testing and validation, though the specific mechanism (unit tests, linting, type checking) is undocumented.","intents":["I want the agent to automatically fix bugs in generated code without me having to debug","I need iterative refinement of generated code based on test failures","I want the agent to optimize code for performance or best practices automatically","I need to handle edge cases and error conditions without manual code review"],"best_for":["non-technical users who cannot debug code manually","rapid prototyping workflows where iteration speed matters more than code quality","teams building MVPs where 'good enough' code is acceptable","developers using Bolt as a scaffolding tool to generate boilerplate that they'll refine later"],"limitations":["Error detection and correction mechanism is undocumented; no specification of which error types are caught (syntax, runtime, logic, performance)","No visibility into the agent's decision-making when choosing refactoring strategies; may produce suboptimal or unexpected code changes","Iterative refinement consumes tokens proportionally; complex bugs may require many iterations, rapidly depleting token budgets","No rollback mechanism if refactoring introduces new errors; changes are committed to project state","The '98% error reduction' claim lacks a baseline or verification; actual error rates are unknown"],"requires":["Bolt.new account with sufficient token balance","Generated code that produces measurable errors (console logs, test failures, exceptions)","Optional: Test suite or validation logic to provide feedback signals"],"input_types":["Generated code with errors","Execution logs and error messages","Test failure reports","User feedback on code quality"],"output_types":["Refactored code","Error-corrected implementation","Optimized code","Updated project state"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"bolt-new__cap_3","uri":"capability://code.generation.editing.design.system.and.ui.framework.integration","name":"design-system-and-ui-framework-integration","description":"Imports design systems and UI component libraries (Material UI, Chakra UI, Shadcn UI, Washington Post Design System, Porsche Design System) and Figma designs directly into the code generation pipeline. The agent uses design tokens, component definitions, and visual specifications to generate React components that match the design system's styling and structure. GitHub repository imports allow the agent to extract existing design systems and apply them to new generated code.","intents":["I want to generate React components that automatically match my design system","I need to convert a Figma design into functional React code","I want to import my existing design system from GitHub and apply it to new projects","I need to maintain design consistency across generated applications without manual styling"],"best_for":["design-led teams building applications with strict design consistency requirements","enterprises with established design systems wanting to accelerate component generation","designers wanting to convert Figma mockups into production-ready React code","teams using Material UI, Chakra UI, or Shadcn UI who want to generate components automatically"],"limitations":["Supported design systems are limited to a predefined list (Material UI, Chakra UI, Shadcn UI, Washington Post, Porsche); custom design systems require GitHub import","Figma import mechanism is undocumented; unclear how design tokens, responsive breakpoints, and animations are extracted and translated to CSS/Tailwind","No real-time sync with Figma; design changes require manual re-import","GitHub import requires the design system to be in a public or accessible repository; private design systems may not be supported","Complex design system features (design tokens, theme variants, dark mode) may not be fully extracted or applied"],"requires":["Bolt.new account","Optional: Figma account and design file URL for design import","Optional: GitHub account and repository URL for design system import","Optional: API key or access token for private repositories"],"input_types":["Figma design file URLs","GitHub repository URLs containing design systems","Design system configuration files (tokens.json, theme.ts, etc.)","Natural language descriptions of desired UI"],"output_types":["React components using design system components","CSS/Tailwind styling matching design tokens","Responsive layouts matching design breakpoints","Component variants and states"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"bolt-new__cap_4","uri":"capability://tool.use.integration.external.service.integration.and.api.binding","name":"external-service-integration-and-api-binding","description":"Automatically generates code to integrate with external services and APIs including Stripe (payments), Supabase (database and auth), Netlify (hosting), Google SSO (authentication), Expo (mobile), and MCP servers (custom integrations). The agent handles API credential management, authentication flow setup, and boilerplate code generation for common integration patterns. Integration configuration is abstracted from the user; the agent infers required API calls and data structures from the application description.","intents":["I want to add Stripe payments to my generated app without manually writing API integration code","I need to set up a Supabase database and authentication for my application","I want to deploy my app to Netlify automatically after generation","I need to add Google SSO login to my app without implementing OAuth manually","I want to connect my app to custom backend services via MCP servers"],"best_for":["non-technical founders building SaaS applications with payment processing","teams needing rapid integration with popular backend services (Supabase, Firebase, etc.)","developers building applications that require authentication and user management","enterprises with custom backend services wanting to integrate via MCP servers"],"limitations":["API credential handling mechanism is undocumented; unclear how API keys are stored, transmitted, and secured (likely stored in Bolt Cloud backend)","Supported integrations are limited to a predefined list (Stripe, Supabase, Netlify, Google, Expo, MCP); custom APIs require manual code editing or MCP server setup","No built-in error handling for API failures, rate limiting, or timeout scenarios; generated code may lack production-grade resilience","MCP server integration details are undocumented; unclear what MCP protocol version is supported or how custom servers are registered","Automatic credential injection may create security risks if credentials are exposed in generated code or browser console"],"requires":["Bolt.new account","API keys or credentials for desired services (Stripe, Supabase, Netlify, Google Cloud, etc.)","Optional: MCP server URL and authentication details for custom integrations","Optional: GitHub account for Netlify deployment integration"],"input_types":["Natural language descriptions of desired integrations","API keys and credentials","MCP server URLs and configuration","Service-specific configuration (Stripe product IDs, Supabase project URLs, etc.)"],"output_types":["Generated API client code","Authentication flow implementation","Environment variable configuration","Webhook handler code","Deployed application with integrated services"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"bolt-new__cap_5","uri":"capability://automation.workflow.token.based.usage.metering.and.cost.management","name":"token-based-usage-metering-and-cost-management","description":"Implements a token-based billing model where each interaction (code generation, iteration, refactoring) consumes tokens from the user's monthly or daily quota. Token consumption scales with project size (larger codebases consume more tokens per message). Free tier provides 300K tokens/day and 1M tokens/month; Pro tier provides 10M tokens/month with no daily limit and rollover to next month; Teams tier allocates per-member token budgets; Enterprise tier offers custom allocations. The agent tracks token usage per project and per interaction, allowing users to monitor consumption and optimize prompts.","intents":["I need to understand how much my usage costs and manage my token budget","I want to optimize my prompts to consume fewer tokens per interaction","I need to allocate token budgets across team members or projects","I want to upgrade my plan based on my actual usage patterns"],"best_for":["individual developers and freelancers using Bolt for client projects (need to track costs per project)","teams managing shared token budgets across multiple developers","enterprises with strict cost controls and usage monitoring requirements","power users optimizing token efficiency to maximize productivity within budget"],"limitations":["Per-task token cost is not published; users cannot predict token consumption before running a prompt","Token consumption scales with project size, but the scaling function is undocumented (linear, exponential, etc.)","Free tier daily limit (300K tokens) may be insufficient for heavy users; no way to carry over unused daily tokens","Pro tier token rollover is limited to one month; tokens older than 30 days expire","No granular cost breakdown per feature (code generation vs. execution vs. refactoring); users cannot optimize specific operations","Teams tier allocates per-member budgets but does not support shared pools or reallocation between members"],"requires":["Bolt.new account (free or paid tier)","Understanding of token consumption patterns (no published baseline or examples)","Optional: Team workspace setup for Teams tier"],"input_types":["User prompts and interactions","Project size and complexity","Number of iterations and refactoring cycles"],"output_types":["Token usage metrics per interaction","Monthly token consumption reports","Remaining token balance","Cost estimates for upgrades"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"bolt-new__cap_6","uri":"capability://automation.workflow.collaborative.project.workspace.and.team.management","name":"collaborative-project-workspace-and-team-management","description":"Provides team workspaces (Teams plan) where multiple developers can collaborate on shared projects with granular permission controls (admin, editor, viewer roles). Projects can be marked private or public; Pro+ users can share sites privately with specific collaborators. Teams plan includes private NPM registries for dependency management and audit logs for compliance. Real-time collaboration mechanism is undocumented, but projects support concurrent editing and version history tracking.","intents":["I want to collaborate with teammates on a Bolt project in real-time","I need to control who can edit, view, or manage my projects","I want to share a generated app with stakeholders without giving them full edit access","I need audit logs and compliance tracking for enterprise projects"],"best_for":["teams building applications together with role-based access control","enterprises requiring audit logs and compliance features","agencies building client projects with stakeholder review workflows","organizations with private dependency management requirements"],"limitations":["Real-time collaboration protocol is undocumented; conflict resolution for concurrent edits is unknown","Permission model specifics are not detailed; unclear if permissions are granular (file-level, function-level) or project-level only","Private NPM registry support is Teams-only; no option for free or Pro users","Audit logs are Teams+ only; no visibility into who made changes or when for lower tiers","No built-in code review or approval workflows; changes are committed immediately upon save"],"requires":["Bolt.new Teams plan or higher","Team workspace setup with member invitations","Optional: Private NPM registry configuration for Teams plan"],"input_types":["Team member email addresses","Permission role assignments (admin, editor, viewer)","Project sharing settings"],"output_types":["Shared project workspace","Audit logs (Teams+ only)","Version history with contributor attribution","Shareable project links"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"bolt-new__cap_7","uri":"capability://automation.workflow.version.history.and.github.synchronization","name":"version-history-and-github-synchronization","description":"Tracks version history of projects within Bolt, allowing users to view and revert to previous states. GitHub integration enables users to import repositories, sync changes bidirectionally, and commit generated code to GitHub. The agent can read existing codebases from GitHub and use them as context for generation. Automatic commit behavior and sync frequency are undocumented; manual sync appears to be required for GitHub integration.","intents":["I want to see the history of changes made to my project and revert to previous versions","I want to sync my Bolt project with a GitHub repository","I need to import an existing GitHub repository into Bolt for further development","I want to commit generated code to GitHub automatically"],"best_for":["developers familiar with Git workflows wanting to integrate Bolt with their existing repositories","teams using GitHub as the source of truth for code management","projects requiring version control and audit trails","developers wanting to use Bolt as a code editor for existing GitHub projects"],"limitations":["Automatic commit behavior is undocumented; unclear if commits are created automatically or require manual triggering","Sync frequency and conflict resolution strategy are unknown; unclear how Bolt handles divergent changes between local and GitHub versions","Branching strategy is not specified; unclear if Bolt supports multiple branches or only main/master","Version history is stored in Bolt backend, not in Git; reverting in Bolt does not automatically update GitHub","GitHub integration requires manual setup; no automatic sync on project creation"],"requires":["Bolt.new account","GitHub account and repository access","Optional: GitHub personal access token or OAuth authentication"],"input_types":["GitHub repository URLs","Existing codebase from GitHub","Commit messages and change descriptions"],"output_types":["Version history snapshots","GitHub commits","Synced repository state"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"bolt-new__cap_8","uri":"capability://automation.workflow.deployment.and.hosting.orchestration","name":"deployment-and-hosting-orchestration","description":"Orchestrates deployment of generated applications to Bolt Cloud (managed hosting), Netlify, or user-specified hosting providers. The agent generates deployment configuration (environment variables, build scripts, database migrations) and can trigger deployments automatically after code generation. Bolt Cloud provides managed infrastructure for databases, authentication, and domain management. Netlify integration enables one-click deployment with automatic builds and previews. Deployment mechanism and rollback strategy are undocumented.","intents":["I want to deploy my generated app to production with a single click","I need to set up environment variables and secrets for my deployed application","I want to use Bolt Cloud for managed hosting without managing servers","I need to deploy to Netlify or my own hosting provider"],"best_for":["non-technical users wanting to deploy applications without DevOps knowledge","rapid prototyping workflows requiring instant deployment","teams using Netlify or Vercel for hosting and wanting integrated deployment","projects requiring managed databases and authentication (Bolt Cloud)"],"limitations":["Deployment mechanism is undocumented; unclear if deployments are automatic or manual, and what triggers a deployment","Rollback strategy is unknown; no documented way to revert a deployment if issues arise","Bolt Cloud pricing and infrastructure details are not published; unclear what compute, storage, and bandwidth are included","Netlify integration requires manual setup; unclear if environment variables and secrets are synced automatically","Custom hosting provider support is limited; only Netlify is explicitly mentioned","No documented SLA or uptime guarantees for Bolt Cloud"],"requires":["Bolt.new account","Optional: Netlify account for Netlify deployment","Optional: Custom hosting provider credentials (AWS, Vercel, etc.)","Optional: Environment variables and secrets configuration"],"input_types":["Generated application code","Deployment configuration (environment variables, build scripts)","Hosting provider credentials"],"output_types":["Deployed application URL","Build logs and deployment status","Environment variable configuration","Database connection strings"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"bolt-new__cap_9","uri":"capability://data.processing.analysis.multi.modal.prompt.input.with.file.upload","name":"multi-modal-prompt-input-with-file-upload","description":"Accepts natural language prompts via chatbox interface and supports file uploads (up to 10MB free, 100MB Pro) to provide context for code generation. Users can upload design files, existing codebases, or configuration files to inform the agent's generation decisions. File upload mechanism integrates with the project filesystem, making uploaded files available to the agent for analysis and code generation.","intents":["I want to upload a design file or existing codebase to inform code generation","I need to provide context files (configuration, schema, etc.) for the agent to use","I want to upload a large project file to accelerate development","I need to attach images or documents to my prompts for visual context"],"best_for":["users with existing codebases or design files wanting to extend or refactor them","teams providing design specifications or requirements documents to the agent","developers uploading configuration files or database schemas for integration"],"limitations":["File upload limits are tier-dependent (10MB free, 100MB Pro); large projects may require multiple uploads or compression","Supported file types are not documented; unclear which formats are accepted (images, PDFs, code, archives, etc.)","File processing mechanism is undocumented; 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