Cursor, Copilot and Claude Code make a roundup of 12 popular AI agents for developers

The market for AI tools for programmers is quickly splitting into several classes: some products plug into the IDE and terminal, others assemble an entire app in the browser, and still others handle security and code infrastructure. The new roundup collects 12 services that are most often treated today as a baseline toolkit for generating, editing and maintaining code.

Three types of tools

The first and most familiar category is assistants inside the usual development environment. This group includes Cursor, GitHub Copilot, Claude Code, Windsurf, Tabnine and GigaCode. They work alongside the code, see the project context, offer autocompletion, write functions from a text description, help with refactoring and can sometimes run terminal commands. The main advantage of these tools is that developers don't have to change their workflow: AI becomes one more layer in the familiar VS Code, JetBrains IDEs or terminal.

The second group is cloud platforms, where AI doesn't just complete fragments but can spin up a project almost from scratch. Replit, Bolt, Lovable and v0 are built for a fast start: the user describes an idea, and the service builds the app structure, the interface and sometimes a basic integration with a database or hosting.

The roundup also includes narrower tools. Snyk focuses on finding vulnerabilities and checking dependencies, while BotHub works more as a model aggregator and API layer through which you can connect different LLMs to other tools.

Who is in the roundup

The list turned out mixed: it has clear market leaders alongside services with a more applied specialization. Under one heading sit editors with deep project context, browser-based app builders, model aggregators and security tools. This matters because the word "agent" is used very broadly here: it refers not only to a chat assistant but to any service that takes over a noticeable chunk of a developer's work.

• Cursor and Windsurf — editors with an agent mode, built-in chat, refactoring and terminal control.
• GitHub Copilot, Claude Code and Tabnine — assistants for the IDE and terminal that focus on autocompletion, generating functions and tests, and explaining code.
• Replit, Bolt, Lovable and v0 — browser platforms for rapid prototyping of sites and apps from a text prompt.
• Snyk — a separate class of AI tools where finding vulnerabilities and checking third-party libraries matters more than generation.
• BotHub and GigaCode — options of interest to users in Russia: the first provides access to different models through a single interface and API, the second offers a free local assistant from Sber.

This lineup shows how expectations of AI in programming have changed. Users are no longer satisfied with a suggestion for the next line or function. They expect the service to understand the whole codebase, fix a bug, build the project, write tests, explain an architectural decision and not lose context between steps. That is why IDE assistants, MVP-building platforms and secure code maintenance solutions share one list.

Limits and prices

Almost every service has a free entry tier, but it quickly runs into limits. Copilot gives a limited number of autocompletions and premium requests, Cursor and Windsurf offer cut-down free modes, Lovable and v0 have particularly strict limits, and Bolt counts tokens and makes its paid tier noticeably more comfortable for real work. The range of starting prices in the roundup is wide: roughly from $10 a month for Copilot to $39 a month for Tabnine, and some platforms also separately cap context size or the number of requests.

For a Russian-speaking audience, the deciding factor is not only model quality but also whether the service is available. Claude Code and a number of Western platforms have direct restrictions for users in Russia, and where access is formally open, you run into paying with a foreign card. Against this backdrop, local or workaround options look more practical: GigaCode is distributed for free, and aggregators like BotHub let you use third-party models through an OpenAI-compatible API without being tied to a single ecosystem.

What this means

The roundup shows well that there is no universal winner in AI development yet. One tool is more convenient for everyday work in the IDE, another is better for a quick MVP in the browser, and a third is needed by a team as a security layer. The choice increasingly depends not on brand noise but on the work scenario, the budget and whether the service is available at all in your country.