AI tools for development: a practical guide to choosing

Muhammad Abdugafarov, city — Khujand, team lead, programmer at Silk Road Professionals, LinkedIn

Quick Prototyping Tools

Bolt

A web platform from StackBlitz for building full-fledged applications directly in the browser. Generates frontend and backend, works with popular stacks: Next.js, Express, MongoDB, Supabase. Uses WebContainers technology — a local Node.js environment in the browser without installation.

Features: agent mode for task automation, built-in CI/CD, one-click deployment capability.

Best for: rapid MVP creation, concept testing, presenting ideas to investors.

Lovable

An AI platform that transforms a text description into a fullstack application via a chat interface. Generates not only the UI but also server-side logic, database, and authentication. Key feature — export of clean code to a GitHub repository.

Features: full control over generated code, integration with popular frameworks, suitable for non-tech teams.

Best for: startups, product managers, teams without their own developers.

v0.dev

A generative UI assistant from Vercel, specializing in creating React components with Tailwind CSS and Shadcn UI. Offers multiple design options, allows editing code in real-time and immediate deployment to Vercel.

Features: focus on high-quality UI/UX, modern design system, integration with the Vercel ecosystem.

Best for: frontend developers, designers, for creating landing pages and admin panels.

Developer Tools

Cursor

An AI IDE based on VS Code with deep understanding of the project context. Supports Python, TypeScript, JavaScript, Go, Rust. In agent mode, it can execute console commands, create files, perform refactoring, and semantic search across the entire codebase.

Features: full control over the project, terminal integration, conversion of mockups into code.

Best for: developers of all levels, especially when working with legacy code or large projects.

Windsurf

An AI editor based on GPT-4 with Cascade agent technology. Positioned as an autonomous assistant that doesn't just suggest code but actively solves tasks: creates architecture, executes commands, plans development workflow.

Features: proactive approach to development, architectural guidance, support for multiple languages.

Best for: experienced developers, tech leads, when creating projects from scratch.

GitHub Copilot

The most popular AI assistant, integrated into major IDEs. Offers autocomplete, writes tests, fixes bugs. In agent mode, it can analyze the entire repository and perform multi-step tasks.

Features: wide support for languages and IDEs, large community, constant updates from Microsoft.

Best for: all developers as a daily driver, especially in teams with different technology stacks.

Comparative Table

Recommendations for Selection

For product managers and startups: start with Bolt or Lovable for rapid idea validation.

For designers and frontend teams: v0.dev helps quickly create high-quality interfaces.

For developers: Cursor as the primary workspace + Copilot as a universal assistant.

For tech leads: Windsurf for complex architectural decisions and planning.

For teams: combine tools — each solves its own tasks at different stages of the development cycle.

Conclusion

AI tools are no longer just "assistants" — they are full-fledged members of the development team. They democratize the creation of digital products, allowing you to focus on solving business problems rather than technical implementation details.

The choice of tool depends on your goals: rapid prototyping, daily development, or architectural planning. The best approach is to try several solutions and find the combination that suits your team and processes.

Useful Links:

Bolt — web IDE for rapid prototyping.
Lovable — AI fullstack development.
v0.dev — React UI generation from Vercel.
Cursor — AI IDE for professional development.
Windsurf — autonomous AI agent for code.
GitHub Copilot — universal AI assistant.