Sweep - Fastest AI coding assistant for JetBrains IDEs

What is Sweep

The landscape of AI-powered developer tools has long been dominated by solutions targeting Visual Studio Code, leaving millions of JetBrains IDE users underserved. Sweep addresses this critical gap by delivering the first purpose-built AI coding assistant exclusively designed for the JetBrains ecosystem. The platform leverages proprietary large language model technology to provide developers with millisecond-precision code completion, intelligent codebase indexing, and a powerful AI Agent that operates directly within their preferred IDE environment.

Sweep's core value proposition centers on three interconnected capabilities. The Next-Edit Autocomplete system utilizes a custom Tab Model that predicts edit locations with near-instantaneous response times, fundamentally transforming daily coding workflows. The AI Agent operates as the fastest and highest-quality coding assistant available within JetBrains, capable of executing git commands, editing files, and validating code through IDE linters. The codebase indexing technology scans entire projects to understand structural relationships, dependencies, and business logic, enabling contextually aware suggestions that genuinely accelerate development.

The platform has achieved significant market validation, ranking as the number one AI plugin on the JetBrains Marketplace with over 40,000 installations and a 4.9/5-star rating. Enterprise adoption spans industry leaders including Ramp, Amplitude, Atlassian, Klook, INDmoney, and numerous other organizations requiring robust, secure AI development tools. The company's commitment to security is evidenced by SOC 2 compliance and an optional Privacy Mode that ensures code contributions never train underlying AI models.

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Core Features of Sweep

Sweep delivers a comprehensive suite of AI-powered development tools that integrate seamlessly into JetBrains IDEs, each designed to address specific pain points in the software development lifecycle. The platform's architecture centers on its proprietary large language model, which provides unmatched performance, pricing, and security compared to third-party API-based alternatives.

The Next-Edit Autocomplete represents a paradigm shift in code completion technology. Unlike traditional autocomplete systems that merely suggest completions, this custom Tab Model predicts where developers intend to make edits, delivering suggestions within milliseconds. This capability enables developers to write code up to ten times faster by reducing manual input and context switching. The system understands project-wide code patterns and can suggest complex refactoring that aligns with existing codebase conventions.

The AI Agent operates in three distinct modes to accommodate varying workflow requirements. The Ask mode searches the codebase to retrieve relevant context without modifying code. The Agent mode automatically searches the codebase and applies code changes directly. The Planning mode generates detailed implementation plans for user review and iteration before execution. All three modes leverage Sweep's ability to execute git commands, edit multiple files, and validate changes against IDE linters, ensuring modifications maintain code quality standards.

The codebase indexing functionality distinguishes Sweep from competitors by indexing entire projects rather than isolated files. This approach enables the system to understand code structure, inter-file dependencies, and business logic, resulting in suggestions that genuinely reflect project requirements. The Checkpoints feature tracks all changes during AI-assisted sessions, allowing developers to roll back individual modifications or entire batches when experiments do not yield desired outcomes.

Advanced capabilities include the SWEEP.md custom rules system, which lets teams define project-specific instructions for code style, build commands, and domain context. The AI Code Review feature automates pull request analysis by comparing branch differences. Web Search and Fetch tools enable the AI to browse documentation and external resources. Remote MCP Server support with OAuth 2.0/2.1 authentication enables enterprise integration with external services.

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Who is Using Sweep

Sweep serves developers across diverse scenarios, from individual contributors tackling bug fixes to enterprise teams requiring compliant, secure development environments. Understanding these use cases helps developers determine how the platform addresses their specific challenges.

Bug remediation represents one of Sweep's most impactful use cases. In large codebases, identifying the root cause of issues often requires extensive navigation through unfamiliar code paths. The AI Agent automates this discovery process by searching the codebase, understanding contextual relationships, and applying targeted fixes without manual exploration. Developers report significant time savings when addressing both trivial bugs and complex edge cases that span multiple modules.

Daily coding acceleration through Next-Edit Autocomplete benefits developers regardless of project complexity. The millisecond-level response time means suggestions appear before developers consciously recognize the need, creating a fluid coding experience that minimizes interruption. Teams working on greenfield projects particularly appreciate how the system maintains context across extended coding sessions.

Organizations previously forced to choose between IDE preference and AI capability have found Sweep eliminates the tradeoff. Developers accustomed to JetBrains tooling no longer need to switch to Cursor or other VS Code-based solutions to access top-tier AI assistance. This consolidation reduces tool-switching context loss and maintains developer flow states.

Code review workflows benefit from AI-assisted branch comparison, enabling faster feedback cycles on pull requests. New team members onboarding to existing projects leverage the Ask mode and codebase indexing to rapidly understand architecture and coding patterns. Enterprise deployments utilize Privacy Mode and SOC 2 compliance to meet security requirements while providing teams with advanced AI capabilities.

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Getting Started

Onboarding to Sweep requires only a JetBrains IDE installation and a few minutes to configure the plugin. The setup process has been streamlined to minimize friction while ensuring developers can immediately experience the platform's capabilities.

Installation occurs directly through the JetBrains IDE's plugin marketplace. Developers can search for "Sweep AI" within the IDE's plugin settings or navigate to the official marketplace listing at plugins.jetbrains.com/plugin/26860-sweep-ai-autocomplete--coding-agent. The installation completes without requiring IDE restart in most cases, though the plugin will appear in the sidebar immediately upon activation.

Account registration follows installation, with new users receiving complimentary trial credits automatically. The free tier includes 1,000 autocomplete uses and $5 worth of API credits, sufficient for evaluating the platform's core capabilities before committing to a paid plan. Users create accounts through standard email authentication or OAuth providers integrated with the platform.

Experiencing Next-Edit Autocomplete requires no configuration beyond installation. Developers simply open any code file and continue typing normally; the Tab Model detects optimal insertion points and presents suggestions inline. Pressing Tab accepts suggestions, while alternative keys dismiss them. The system learns from project patterns over time, improving suggestion relevance as developers continue working.

AI Agent activation uses keyboard shortcuts configurable within IDE settings. Upon invocation, developers choose between Ask, Agent, or Planning modes based on their immediate need. Ask mode serves exploration and documentation queries. Agent mode handles automatic implementation. Planning mode generates detailed specifications for review before execution begins.

Advanced configuration through SWEEP.md files enables teams to codify project conventions. Creating this file in the project root allows specification of build commands, testing frameworks, linting rules, and architectural context that informs all subsequent AI interactions. Sweep also recognizes CLAUDE.md files as fallback configurations for teams using multiple AI tools.

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Technical Characteristics

Sweep's technical architecture distinguishes itself through vertical integration, controlling the entire stack from model training to IDE integration. This approach enables optimizations impossible for solutions relying on third-party API providers.

The proprietary large language model has been specifically trained and fine-tuned for code understanding tasks. Unlike general-purpose LLMs adapted for coding, Sweep's model focuses exclusively on programming-related operations including code generation, refactoring, bug detection, and architectural comprehension. This specialization delivers superior results across code-centric metrics while maintaining competitive inference costs.

Performance characteristics reflect deep engineering investment in latency optimization. The Next-Edit Autocomplete system operates at millisecond timescales, meaning developers experience suggestion latency that does not interrupt cognitive flow. This performance requires co-location of inference infrastructure, custom caching strategies, and intelligent pre-computation of likely next-edit positions based on syntax analysis.

Universal JetBrains compatibility encompasses the complete product lineup. The plugin operates identically across IntelliJ IDEA, PyCharm, WebStorm, PhpStorm, Rider, GoLand, CLion, RubyMine, Android Studio, and other IDEs built on the IntelliJ platform. This consistency ensures teams can standardize on Sweep regardless of their language specialization or project requirements.

Security architecture addresses enterprise requirements through multiple layers of protection. SOC 2 Type II certification demonstrates adherence to industry-standard security controls. The Privacy Mode feature provides contractual assurance that code submitted through the platform will never train underlying AI models, addressing a primary concern for organizations handling sensitive intellectual property. Zero data retention policies further limit exposure by ensuring processed code does not persist in Sweep's infrastructure beyond immediate session needs.

Git integration enables the AI Agent to execute version control operations as part of automated workflows. This capability allows the system to create branches, commit changes, and manage merge operations without requiring developers to switch contexts to terminal applications. Combined with IDE linter integration, the Agent validates modifications against project quality gates before presenting changes for review.

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Pricing Plans

Sweep offers four distinct pricing tiers designed to accommodate usage patterns ranging from individual evaluation to enterprise-scale deployment. All plans provide access to the complete feature set, with differentiation occurring through API credit allocation and support priority.

The Free Trial serves developers wanting to experience Sweep's capabilities before financial commitment. The included credits and autocomplete allocation prove sufficient for evaluating all core features, though the limited API credits mean heavy users will quickly exhaust available resources.

Basic pricing at $10 monthly targets individual professional developers. Unlimited autocomplete removes usage restrictions on the most frequently accessed feature, while the $10 monthly API credit allocation accommodates typical Agent and chat interactions. Standard support ensures timely assistance for common issues.

Professional tier pricing at $20 monthly adds priority support response times and early access to new features. The doubled API credit allocation supports more extensive AI-assisted development sessions. This tier suits developers who rely heavily on AI Agent capabilities and value rapid issue resolution.

Ultra pricing at $60 monthly provides maximum API credit allocation alongside premium support. This tier serves power users and teams where AI assistance forms a core part of development workflow. Early feature access enables adoption of cutting-edge capabilities before general availability.

Educational institutions and open-source maintainers receive special pricing upon verification. Interested parties should contact team@sweep.dev with appropriate credentials to receive custom pricing. All paid plans allow cancellation at any time, with service continuing through the current billing period.

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Frequently Asked Questions