Filter and sort through our extensive collection of AI tools to find exactly what you need.
Tabnine is an AI coding platform with an agentic development layer and a context engine focused on enterprise privacy, governance, and deployment flexibility. It provides code completions, AI chat, and autonomous agents that can generate features, tests, and documentation across the software development lifecycle. Tabnine�s Context Engine connects to code hosts, issue trackers, and knowledge sources to deliver organization-aware suggestions while keeping code private. It supports cloud, VPC, on-prem, and even air-gapped deployments, giving enterprises control over where models run and how data is stored, with compliance for standards such as GDPR and SOC 2.
Tabby is an open-source, self-hosted AI coding assistant built by TabbyML. It provides code completion, an answer engine, inline chat, and data connectors that you can deploy on your own infrastructure. The project emphasizes transparency, security, and configurability, allowing organizations to choose underlying models and run fully on-premises or in their own cloud. Tabby integrates with VS Code, JetBrains IDEs, Neovim, and other editors, and it supports usage both via self-hosted servers and an optional usage-based cloud offering called Tabby Cloud. Pricing for self-hosted deployments is seat-based with Community, Team, and Enterprise tiers.
Sweep AI is an AI-powered coding assistant focused on JetBrains IDEs that turns bug reports and feature requests into code changes. It acts like an AI junior developer, reading issues, editing code, and preparing pull requests that address the described problem. Sweep AI integrates with GitHub and JetBrains to understand your repository, run tasks, and automate repetitive coding and maintenance work. Public documentation and directories describe a freemium model with an open-source JetBrains extension and cloud services for managed inference, but detailed pricing is not fully exposed and may require contacting the team or reviewing the latest docs.
Supermaven is an AI code completion tool positioned as a fast alternative to GitHub Copilot, with a very large context window and multi-IDE support. It integrates into VS Code, JetBrains IDEs, and Neovim to provide real-time, context-aware suggestions that work across large codebases. Pro and Team plans unlock a 1 million token context window, higher quality models, and bundled chat credits for Supermaven Chat, which can apply diffs directly to your code. According to Supermaven’s blog, the product is being sunset and many capabilities have been folded into Cursor, though autocomplete continues for existing customers.
Sourcery is an AI-assisted developer tool that helps with tasks such as code completion, static analysis, security scanning, or refactoring. Depending on the product, it may surface suggestions in the IDE, score code quality, or highlight issues in pull requests. These assistants are designed to accelerate development and review, but they do not replace testing, security review, or engineering judgment. For updated language support, IDE integrations, and deployment options for Sourcery, consult the documentation available at https://sourcery.ai.
Sourcegraph Cody is an AI coding assistant built on top of Sourcegraph�s code intelligence platform. It provides autocomplete, chat, inline edits, code explanation, and unit test generation with deep awareness of large, multi-repository codebases. Cody uses Sourcegraph�s indexing and search capabilities to fetch relevant context, so it can answer questions and make changes across mono-repos and poly-repos at scale. The tool targets both individual developers and enterprises, offering a free tier for personal use and paid plans for teams and organizations that require advanced governance, SSO, and deployment flexibility.
SonarCloud is an AI-assisted developer tool that helps with tasks such as code completion, static analysis, security scanning, or refactoring. Depending on the product, it may surface suggestions in the IDE, score code quality, or highlight issues in pull requests. These assistants are designed to accelerate development and review, but they do not replace testing, security review, or engineering judgment. For updated language support, IDE integrations, and deployment options for SonarCloud, consult the documentation available at https://sonarcloud.io.
Snyk is an AI-assisted developer tool that helps with tasks such as code completion, static analysis, security scanning, or refactoring. Depending on the product, it may surface suggestions in the IDE, score code quality, or highlight issues in pull requests. These assistants are designed to accelerate development and review, but they do not replace testing, security review, or engineering judgment. For updated language support, IDE integrations, and deployment options for Snyk, consult the documentation available at https://snyk.io.
Replit Ghostwriter is an AI-powered coding assistant that helps developers write, understand, and maintain code faster by providing context-aware suggestions directly inside supported editors and development tools. It can generate inline completions, propose larger code snippets from natural-language intent, and help explain or refactor existing code so engineers stay in flow. Teams typically use Replit Ghostwriter to accelerate routine implementation work, reduce boilerplate, and standardize patterns across projects while keeping humans in control of code review and deployment. For the latest capabilities and detailed product information, see https://replit.com/.
Replit AI is the umbrella for Replit’s in-browser AI coding capabilities, including the original Ghostwriter features and newer Replit Agent tools. It provides inline completions, AI chat, code explanation, refactoring, and multi-step autonomous assistance within Replit’s browser-based IDE. Replit AI is tied into Replit’s hosting and deployment, allowing developers to go from prompt to deployed app quickly. Pricing is integrated into Replit plans: a free Starter plan with limited AI and compute, a Core plan with higher limits and Agent access, and higher tiers for heavier use. Reviews highlight ease of use for beginners and rapid prototyping, with some trade-offs on advanced workflows.
Replit Agent is Replit�s AI-powered development agent that can plan, generate, debug, and deploy full-stack applications directly in the Replit environment using natural language instructions. It is integrated into Replit�s browser-based IDE and hosted platform, allowing users to go from idea to running app quickly without managing servers. The agent can handle tasks like building UIs, wiring backends, configuring databases, and fixing errors, while users guide it via chat. Replit bundles Agent access into its paid Core and Teams plans, with a trial in the free Starter tier and usage tied to Replit credits and plan limits.
Phind is a developer-focused AI search engine and coding assistant that answers technical questions with code-first, web-grounded responses. It runs its own Phind-70B and Phind-405B models, and integrates browse, multi-query search, diagrams, and file uploads into a single interface. Phind is widely used via the web app and a VS Code extension, where it doubles as a pair programmer and research assistant. A free tier provides access to the core Phind model, while paid Pro and Business plans unlock unlimited Phind-405B/70B searches, higher model quotas for GPT-5 and Claude, file analysis, and strict data-handling options for teams.
Mutable AI is an AI-assisted developer tool that helps with tasks such as code completion, static analysis, security scanning, or refactoring. Depending on the product, it may surface suggestions in the IDE, score code quality, or highlight issues in pull requests. These assistants are designed to accelerate development and review, but they do not replace testing, security review, or engineering judgment. For updated language support, IDE integrations, and deployment options for Mutable AI, consult the documentation available at https://mutable.ai.
JetBrains AI Assistant is an AI-powered coding assistant that helps developers write, understand, and maintain code faster by providing context-aware suggestions directly inside supported editors and development tools. It can generate inline completions, propose larger code snippets from natural-language intent, and help explain or refactor existing code so engineers stay in flow. Teams typically use JetBrains AI Assistant to accelerate routine implementation work, reduce boilerplate, and standardize patterns across projects while keeping humans in control of code review and deployment. For the latest capabilities and detailed product information, see https://www.jetbrains.com/ai-assistant/.
IBM watsonx Code Assistant is an AI-powered coding assistant that helps developers write, understand, and maintain code faster by providing context-aware suggestions directly inside supported editors and development tools. It can generate inline completions, propose larger code snippets from natural-language intent, and help explain or refactor existing code so engineers stay in flow. Teams typically use IBM watsonx Code Assistant to accelerate routine implementation work, reduce boilerplate, and standardize patterns across projects while keeping humans in control of code review and deployment. For the latest capabilities and detailed product information, see https://www.ibm.com/products/watsonx-code-assistant.
Embold is an AI-assisted developer tool that helps with tasks such as code completion, static analysis, security scanning, or refactoring. Depending on the product, it may surface suggestions in the IDE, score code quality, or highlight issues in pull requests. These assistants are designed to accelerate development and review, but they do not replace testing, security review, or engineering judgment. For updated language support, IDE integrations, and deployment options for Embold, consult the documentation available at https://embold.io.
DeepSource is an AI-assisted developer tool that helps with tasks such as code completion, static analysis, security scanning, or refactoring. Depending on the product, it may surface suggestions in the IDE, score code quality, or highlight issues in pull requests. These assistants are designed to accelerate development and review, but they do not replace testing, security review, or engineering judgment. For updated language support, IDE integrations, and deployment options for DeepSource, consult the documentation available at https://deepsource.com.
Cursor is an AI-first code editor and IDE that deeply integrates large language models into the software development workflow. It offers inline editing via keyboard commands, repo-aware chat, multi-model support, and agentic modes that can implement features across a codebase. Cursor supports popular languages and frameworks and integrates with GitHub. Pricing includes a Free plan, a Pro plan aimed at individuals, an Ultra tier with higher usage and earlier access to features, and Teams/Business options for organizations. Reviews portray Cursor as a powerful tool for exploratory and ‘vibe’ coding, with some caveats around resource usage and the need for careful code review.
Cursor is an AI-first code editor built as a fork of VS Code, designed to let developers delegate coding tasks to powerful agents while staying in a familiar environment. It combines inline autocomplete, multi-line edits, natural-language refactors, and repository-aware context to speed up reading, writing, and modifying code. Cursor integrates with leading models from providers like OpenAI, Anthropic, Google Gemini, and xAI, and supports background agents that can work across files and projects. Teams get centralized controls, usage analytics, and privacy modes that prevent customer code from being used to train generalized models.
Continue.dev is an AI-powered coding assistant that lives in the editor or IDE. It analyzes the surrounding code and context to suggest completions, entire functions, tests, and refactors as you type. Many teams adopt tools like this to reduce boilerplate work, speed up implementation of common patterns, and help developers explore unfamiliar APIs. While it can boost productivity, final responsibility for code quality and security remains with human engineers, who review suggestions, adjust prompts, and decide what to accept into the codebase.
Cody is an AI-powered coding assistant that lives in the editor or IDE. It analyzes the surrounding code and context to suggest completions, entire functions, tests, and refactors as you type. Many teams adopt tools like this to reduce boilerplate work, speed up implementation of common patterns, and help developers explore unfamiliar APIs. While it can boost productivity, final responsibility for code quality and security remains with human engineers, who review suggestions, adjust prompts, and decide what to accept into the codebase.
Sourcegraph Cody is an AI coding assistant built on top of Sourcegraph’s code intelligence platform. It combines LLMs with repository-wide code search and symbol understanding to provide context-aware completions, inline edits, refactors, and chat that understands your entire codebase. Cody can answer questions, explain code, suggest fixes, generate tests, and help with migrations by leveraging both semantic search and AI reasoning. It works in popular IDEs, on Sourcegraph.com, and in the browser. Pricing includes a free tier with limits, team plans with more generous quotas and collaboration features, and enterprise deployments with governance, SSO, and private code hosting options.
Codota is an AI-assisted developer tool that helps with tasks such as code completion, static analysis, security scanning, or refactoring. Depending on the product, it may surface suggestions in the IDE, score code quality, or highlight issues in pull requests. These assistants are designed to accelerate development and review, but they do not replace testing, security review, or engineering judgment. For updated language support, IDE integrations, and deployment options for Codota, consult the documentation available at https://www.codota.com.
CodiumAI / Qodo is an AI-powered coding assistant that helps developers write, understand, and maintain code faster by providing context-aware suggestions directly inside supported editors and development tools. It can generate inline completions, propose larger code snippets from natural-language intent, and help explain or refactor existing code so engineers stay in flow. Teams typically use CodiumAI / Qodo to accelerate routine implementation work, reduce boilerplate, and standardize patterns across projects while keeping humans in control of code review and deployment. For the latest capabilities and detailed product information, see https://www.codium.ai/.
