Looking for alternatives to Cursor? These are the top 11 tools that offer similar coding and personal productivity — ranked by overall score and compared across features, pricing, and use cases.
AI coding assistant by GitHub offering inline completions, chat, and cloud agents across five plans from free to enterprise.
Premium request system: Chat, Agent mode, code review, and model selection draw from a monthly allowance; standard completions are unlimited on paid plans Copilot cloud agent: executes multi-step coding tasks from GitHub issues, creating branches, writing code, running tests, and opening pull requests autonomously Multi-IDE support: VS Code, Visual Studio, JetBrains, Neovim, Xcode, Eclipse, and Azure Data Studio; VS Code has the fullest feature set
Codeium's AI-native VS Code fork with Cascade agentic system and native SWE-1 model, on quota-based pricing from $20/month.
Cascade agentic system: reads entire codebase context, plans multi-step changes, executes edits across files, and verifies results with formal correctness checks SWE-1 native model family: SWE-1 (flagship), SWE-1.5 Fast Agent (March 2026), and SWE-1-mini — native models with fixed per-message quota cost Unlimited Tab completions: inline autocomplete available on all plans including Free with no monthly cap
AWS AI coding assistant with IDE completions, agentic coding, and native AWS service context for AWS-centric teams.
AWS-native context: trained on AWS documentation, SDK patterns, and service configurations — provides architecture guidance and IAM suggestions that general tools cannot Real-time AWS pricing integration: answers cost estimation queries, compares AWS service pricing options, and identifies cost optimization opportunities directly in the coding environment Java and .NET transformation agents: automated legacy code modernization with multi-file transformation, test generation, and pull request creation
Amp is a pay-as-you-go agentic coding agent for developers with parallel subagents, Oracle mode, zero-markup model pricing, and a CLI-first workflow.
Pay-as-you-go model passing through provider API costs at zero markup for individual and team users Parallel subagents spawning independent context windows for simultaneous multi-file refactoring and task execution Oracle mode using GPT-5.4 for on-demand deep reasoning on complex debugging and architecture analysis
Continue.dev is an open-source AI coding assistant for VS Code and JetBrains with CI/CD agents, BYOK model support, and source-controlled PR checks.
Source-controlled AI agents running on every pull request as GitHub status checks with suggested fixes Bring-your-own-key support for any LLM including Claude, GPT-4, Gemini, and local Ollama models Inline autocomplete and chat in VS Code and JetBrains using any configured model
AI full-stack web app builder with built-in Supabase integration targeting non-technical founders, reaching $20M ARR in two months after launch.
Built-in Supabase integration: database, authentication, and real-time features configured automatically — no external service setup required for non-technical users Flat-rate credits: each AI interaction costs one credit regardless of complexity — simpler than token-based competitors where project size affects consumption GitHub export: push generated code to a GitHub repository for version control, external development, or migration off Lovable at any stage
Browser-based AI development platform with Agent 4, cloud IDE, and instant deployment for technical and non-technical builders.
Agent 4 (March 2026): autonomous coding agent with parallel task execution, branching, and multi-step feature implementation from a browser Browser-based full-stack IDE: runs in any browser with no local installation, dependency management, or environment configuration Integrated Neon PostgreSQL: built-in database provisioning directly from the Replit environment without external service setup
Vercel's AI UI generation tool converting text and image prompts into production-ready React and shadcn/ui components for Next.js projects.
Figma-to-code conversion: upload Figma designs or screenshots and receive production-ready React components — a feature unavailable in Bolt.new, Lovable, or Replit shadcn/ui-native output: generated components use the shadcn/ui component library natively, ensuring compatibility with the most widely used React component system Vercel deployment integration: one-click deployment to Vercel hosting directly from the v0 interface with no additional configuration
7.6
9
Bolt.new
Freemium
Browser-based AI full-stack app builder by StackBlitz using WebContainers to generate and deploy complete applications from text prompts.
WebContainers technology: runs a complete Node.js environment in the browser — no server required, no local installation, instant live preview of generated applications Full code visibility: generated code is directly editable in the browser IDE, enabling developer intervention when AI output needs correction Token rollover: unused Pro tokens carry over for one month, reducing waste for users with variable monthly usage patterns
Enterprise AI code assistant with self-hosted, VPC, and air-gapped deployment options and zero data retention for compliance-sensitive teams.
Private deployment options: SaaS, VPC, on-premises, and fully air-gapped deployment — the only mainstream AI coding tool supporting air-gapped environments Zero data retention: code is processed ephemerally with no storage or model training on customer code across all deployment modes Code Review Agent: automated pull request review catching defects, style inconsistencies, and policy violations (won Best Innovation in AI Coding, 2025 AI TechAwards)
7.4
11
Cody
DiscontinuedEnterprise
Sourcegraph's enterprise AI coding assistant using Sourcegraph's code intelligence platform for cross-repository codebase context at scale.
Cross-repository context retrieval: Sourcegraph's code intelligence indexes all organizational repositories and uses semantic search to retrieve relevant context from anywhere in the codebase Flexible LLM selection: users can choose between multiple supported language models for Cody chat, enabling teams to standardize on their preferred model Single-tenant deployment: Cody Enterprise runs in the customer's cloud infrastructure, not on shared Sourcegraph servers, meeting data isolation requirements
