Best tools for Refactoring

Anthropic's agentic coding CLI

Anthropic's agentic CLI coding tool that delegates complex tasks to Claude directly from the terminal. Understands entire codebases via automatic context gathering, edits multiple files, runs shell commands, and manages Git workflows autonomously. Supports CLAUDE.md for persistent project instructions, integrates with VS Code and JetBrains, and uses Claude Opus/Sonnet with extended thinking for complex architectural decisions. Built for terminal-first developers.

The AI-first code editor

AI-first code editor built as a VS Code fork that deeply integrates LLMs into every part of the development workflow. Features Tab autocomplete with multi-line predictions, Cmd+K inline editing, AI chat with full codebase awareness, and Agent mode for autonomous multi-file edits with terminal execution. Supports GPT-4, Claude, and more with automatic context from project files and docs. Includes privacy mode for SOC 2 compliance. The leading AI-native IDE with 100K+ paying users.

Agent-first development platform from Google with desktop app and CLI

Google Antigravity is Google's AI-powered agentic development platform, announced in November 2025 and expanded with Antigravity 2.0 at I/O 2026, that places autonomous AI agents at the center of software development. Distributed as both a VS Code-based desktop app and the new Antigravity CLI, it runs planning, implementation, and verification agents — backed by Gemini 3.1 Pro/Flash, Claude Sonnet/Opus 4.6, and GPT-OSS 120B — across editor, terminal, and browser.

OpenAI coding agent for app, editor, terminal, and cloud work

Codex is OpenAI's coding agent for software development across the Codex app, editor, terminal, and cloud tasks. It helps write, review, debug, refactor, and automate code, with ChatGPT plan access for managed surfaces and API-key usage for CLI, SDK, and IDE workflows. The open-source CLI and SDK support local repository work, while cloud features add GitHub review, Slack/Linear integrations, worktrees, skills, MCP, and automations.

Open-source AI software development agent

Open-source AI agent platform (formerly OpenDevin) for building developer agents that modify code, run shell commands, browse the web, and call APIs through a composable Python SDK and CLI. OpenHands runs agents in sandboxed Docker containers accessed via SSH, supports Claude/GPT/any LLM, and has solved 50%+ of real GitHub issues in software engineering benchmarks.

High-performance code editor built in Rust

High-performance code editor built entirely in Rust by the creators of Atom and Tree-sitter. GPU-accelerated rendering and a multicore architecture deliver 10x faster startup and 75% lower memory use than Electron editors like VS Code. Native real-time collaboration that works like Google Docs, deeply integrated AI with agentic editing (Claude and more), and Tree-sitter-powered syntax highlighting. Direct-to-display rendering on macOS. Available on macOS, Linux, and Windows.

AI assistant for code review, generation, and explanation

Bito is an AI-powered development platform combining a codebase intelligence engine with agentic code review capabilities. Its AI Architect maintains a live knowledge graph of your software system — mapping APIs, modules, and dependencies — and delivers that deep context to coding agents for more accurate suggestions. Bito solves the problem of AI tools producing generic feedback by grounding analysis in your specific codebase architecture.

Open-source autonomous coding agent for VS Code

Cline is an Apache-2.0 open-source AI coding agent runtime for editor, terminal, and SDK workflows. It reads and edits files, runs commands, uses browsers, plans then acts, and requires explicit approval for each step unless users enable auto-approve. Current Cline sources show 8M+ installs, 63.6k+ GitHub stars, BYOK/provider flexibility, local model support, MCP, plugins, hooks, and Enterprise governance.

Google's official CLI agent for coding with Gemini

Gemini CLI is Google's open-source terminal agent for coding with Gemini models, shell/file tools, web fetching, Google Search grounding, and MCP extensions. As of 18 June 2026, unpaid tier and Google One users are being moved to Antigravity CLI; supported Standard, Enterprise, and Google Cloud access paths remain the safer fit for teams.

Open-source extensible AI agent by Block

Autonomous coding agent from Block (Square) that works with any LLM through MCP-first extensibility. Apache 2.0 licensed with 47K+ GitHub stars and a Linux Foundation AAIF founding project. Designed for terminal-based workflows with deep tool integration, making it a strong open-source option for developers who want agent-assisted coding without vendor lock-in.

AI pair programming in your terminal

Terminal-based AI pair programmer with deep git integration. Auto-commits changes with meaningful messages and creates repository maps for navigating large codebases. Works with Claude, GPT, DeepSeek, and local models. One of the most popular open-source AI coding tools, known for its reliability, broad model support, and seamless command-line workflow.

Free AI code completion supporting 70+ languages

AI-native code editor (now operating as Windsurf) built on VS Code with the Cascade agentic assistant for multi-file editing, terminal execution, and codebase-wide context. Codeium supports 70+ programming languages with lightning-fast completion, Cascade Memories for customizable AI behavior, semantic indexing, and automatic linter-error fixes — combining completion plus full agent in one cohesive IDE.

Open-source AI coding agent for the terminal

Open-source terminal-based AI coding agent built in Go by the SST team, with a rich TUI (Bubble Tea) supporting 75+ model providers including OpenAI, Anthropic, Gemini, Bedrock, Groq, and OpenRouter. Features vim-like editing, persistent SQLite sessions, and LSP integration for 40+ languages. Fully free with no vendor lock-in, it has rapidly grown to 95k+ GitHub stars.

AWS AI coding assistant with code generation and security scanning

AI coding assistant from AWS with inline code suggestions, chat, code transformation, and built-in security vulnerability scanning. Deep integration with AWS services and CLI makes it particularly powerful for cloud-native development. Helps developers modernize legacy code, optimize AWS resource usage, and implement security best practices across their entire development workflow.

Enterprise-grade AI coding agent system by Factory

System of specialized AI Droids — Code, Knowledge, Reliability, and Product — each optimized for specific development tasks. Ranked #1 on Terminal-Bench with 58.75% score. BYOK model with support for Anthropic and OpenAI models. Enterprise-focused approach that treats AI coding as a team of specialized agents rather than a single general-purpose assistant.

Open-source agentic engineering platform

Open-source agentic AI coding platform for VS Code, JetBrains IDEs, CLI, Slack, and Cloud that combines inline autocomplete, browser automation, automated refactoring, and custom planning/coding/debugging modes. Operates on a plan-act-observe-fix loop with 500+ model support (Gemini, Claude, GPT via OpenRouter). Memory Bank feature maintains repo-resident context across sessions, and codebase indexing keeps the agent grounded in your project.

Beautiful documentation that converts

AI-powered documentation platform that transforms markdown into beautiful, searchable docs sites with minimal config. Features AI writing suggestions, auto API reference generation from OpenAPI specs, built-in analytics, versioning, custom domains, and a web editor for non-technical contributors. Supports MDX for interactive components. GitHub integration for CI/CD updates. Used by Anthropic, Cursor, Turso, and hundreds of developer-focused companies.

Open-source AI coding agent with self-hosted deployment option

Refact.ai is an open-source/on-premise oriented AI coding agent for VS Code and JetBrains that supports BYOK model routing, codebase understanding, developer-tool integrations and self-hosted deployment. Its public site now warns that Refact Cloud is shutting down soon, so teams should treat hosted availability as a migration risk and validate the current enterprise support path.

Enterprise AI coding assistant with deep codebase understanding

AI coding assistant for professional software development that uses a proprietary Context Engine to maintain live understanding of your entire stack — code, dependencies, architecture, and git history. Achieved a record-breaking SWE-bench score and a 70% win rate over GitHub Copilot in head-to-head evaluations. Agent plans, creates files, and ships features with a 200K-token context and 89% multi-file refactor accuracy. First AI coding assistant with ISO/IEC 42001 certification.

Autonomous AI software engineer by Cognition

Devin is Cognition's managed AI software engineer for delegating engineering tasks to cloud and desktop agents. It can plan work, navigate codebases, write and run code, test changes, open PRs, review/autofix issues, and collaborate through GitHub, GitLab, Bitbucket, Linear, Jira, Slack, and Teams. Current Devin surfaces include Devin Cloud, Devin Desktop, Devin CLI, Devin Review, Windows VM support, DeepWiki, Ask Devin, and team/enterprise controls.

AI assistant built into JetBrains IDEs

Native AI assistant integrated into all JetBrains IDEs with code completion, chat, and context-aware suggestions. Powered by multiple LLMs with deep IDE integration for refactoring, analysis, and documentation. Leverages JetBrains' rich code understanding to deliver more accurate suggestions than standalone AI tools, especially for Java, Kotlin, and Python projects.

MIT-licensed autonomous coding-agent reference, now superseded for many new uses by mini-swe-agent.

SWE-agent is an MIT-licensed autonomous coding-agent reference from Princeton and Stanford researchers that takes GitHub issues and attempts fixes with a bring-your-own language model. Its agent-computer interface remains foundational for repository navigation, editing, and test execution. The README now says development has shifted to mini-swe-agent, which supersedes SWE-agent and is generally recommended going forward.

Multi-agent CLI pair programmer with FORGE, MUSE, and SAGE agents

Model-agnostic terminal coding tool with 3 specialized agents: FORGE for code editing, MUSE for planning and review, and SAGE for research. Connects to hundreds of LLM providers and models with local-first privacy and conversational Git integration. Apache 2.0 licensed. A thoughtfully designed multi-agent approach that separates concerns between coding, thinking, and information gathering for more reliable results.

AI-powered code review and refactoring assistant

Automated code reviewer that integrates with GitHub PRs. Detects code quality issues, suggests refactoring, and auto-generates reviews. Python specialist with growing JS/TS support and 1.8k+ GitHub stars. Enforces team coding standards consistently and helps developers learn best practices through inline suggestions on every pull request.

JetBrains-first AI coding assistant with next-edit autocomplete and an open-weight 1.5B model

Sweep is a JetBrains-first AI coding assistant that pairs a next-edit autocomplete engine with an in-IDE coding agent. Autocomplete watches recent edits to predict where you'll change code next; tab jumps between proposed locations to compress multi-file refactors. The agent stages multi-file diffs inside the IDE. A 1.5B open-weight next-edit model shipped in February 2026. VS Code and Zed users currently get autocomplete only.

Non-agent approach to automated software engineering via localize-and-repair

Agentless takes a deliberate non-agent approach to LLM-powered software engineering. Instead of autonomous agents making tool calls, it uses a structured localize-then-repair pipeline: first narrowing down which files and functions are relevant, then generating targeted patches. Achieved competitive SWE-Bench results at $0.34 average cost per issue. Adopted by OpenAI for o3 evaluations. 3,000+ GitHub stars, MIT licensed. A counterpoint to the agent-heavy trend in AI coding tools.

Developer-focused documentation with AI assistance

Archbee is a developer-focused documentation platform with AI assistance for writing technical guides, API documentation, and internal knowledge bases. Built specifically for engineering teams rather than general content writers, it provides specialized code blocks, team collaboration spaces, API reference generators, and version-controlled documentation alongside AI-powered writing suggestions.

Codebase-aware agentic CLI by Augment Code

Terminal coding agent with deep codebase understanding powered by Augment's context engine. Connects to GitHub, Linear, and Jira via MCP for project-aware assistance. Supports print mode for CI/CD automation, making it useful for both interactive development and automated pipeline tasks where AI-generated code changes need to happen without human intervention.

Curated directory of terminal-native AI coding agents and orchestration tools

Living directory of 80+ CLI coding agents, orchestration harnesses, and comparison benchmarks. Includes agent managers, parallel runners, and infrastructure tools. Community-maintained reference for the agentic coding ecosystem that helps developers evaluate and choose the right terminal-based AI coding tools from an increasingly crowded and fast-moving landscape.

Fast Rust-based formatter and linter for web projects

Biome is a Rust-based toolchain for JavaScript, TypeScript, JSX, JSON, and CSS that combines formatting and linting in a single tool running 20-50x faster than ESLint + Prettier. Provides 300+ lint rules with automatic fixes, opinionated formatting compatible with Prettier output, and import sorting. Zero configuration needed to start with sensible defaults. Designed as a drop-in replacement for ESLint and Prettier with first-class IDE support via VS Code and JetBrains extensions.

Full-lifecycle AI agent optimization and monitoring

CozeLoop is an open-source AI agent optimization platform from ByteDance's Coze ecosystem providing full-lifecycle management from development to production monitoring. It enables developers to debug agent prompts, evaluate agent performance across test cases, optimize reasoning processes, and monitor deployed agents in real-time. Built on Go and React with SDKs for Go, Python, and Node.js, CozeLoop is designed for enterprise-grade AI agent development and operation.

Instant AI API documentation from code snippets

DevDocsAI is a fast-utility AI documentation generator where developers paste code snippets and receive structured API documentation in 30 seconds. It targets individual makers and small teams who need quick documentation for specific code segments without the overhead of setting up a full documentation platform, providing rapid turnaround for function and endpoint documentation.

Get your documents ready for gen AI

Docling is an open-source document processing toolkit by IBM Research that converts complex documents into structured formats optimized for generative AI applications. It parses PDF, DOCX, PPTX, XLSX, HTML, images, audio, and LaTeX with advanced PDF understanding including layout analysis, reading order detection, and table structure recognition. Docling exports to Markdown, HTML, JSON, and DocTags, and integrates natively with LangChain, LlamaIndex, and other AI frameworks for RAG workflows.

AI documentation generator from code repositories

DocuWriter.ai creates technical documentation from code repositories by scanning files, understanding patterns, and generating structured documentation including API references, function descriptions, and architectural overviews. It supports batch processing for entire repositories, serving as a zero-to-one documentation tool for undocumented codebases that need initial documentation coverage quickly.

Build optimized documentation sites

Meta's open-source documentation framework built on React with MDX support, versioning, internationalization, and search. Powers documentation sites for many open-source projects with 58k+ GitHub stars. The standard choice for open-source projects that need professional documentation with minimal setup, offering blog support and plugin extensibility alongside core docs features.

Pluggable JavaScript and TypeScript linter

ESLint is the standard open-source linter for JavaScript and TypeScript with 26K+ GitHub stars. Statically analyzes code to find problems, enforce coding conventions, and automatically fix issues. Features a pluggable rule architecture with 300+ built-in rules and thousands of community plugins for React, Vue, Angular, Node.js, and more. Flat config system in ESLint v9 simplifies configuration. Integrates with every major editor, CI/CD pipeline, and build tool in the JavaScript ecosystem.

Beautiful docs for Next.js App Router

Fumadocs is a documentation framework built specifically for Next.js that provides a complete set of tools for creating high-performance documentation sites within the Next.js App Router. Offers tight integration with server components, middleware, and API routes, plus headless UI primitives, MDX processing, built-in search, and flexible theming — giving teams full control over their docs' look and feel.

Knowledge management for teams

Modern documentation platform that combines a WYSIWYG editor with Git-backed version control for technical documentation, API references, and knowledge bases. Features real-time collaboration, OpenAPI/Swagger integration for auto-generated API docs, custom domains, visitor authentication, and AI-powered search. Syncs bidirectionally with GitHub/GitLab repositories. Includes analytics for tracking documentation usage. Used by Ethereum, Linux Foundation, and thousands of developer teams.

Professional IDEs with Junie AI coding agent

JetBrains is a software development company that produces a family of language-specific IDEs built on the IntelliJ platform — IntelliJ IDEA (Java/Kotlin), PyCharm (Python), WebStorm (JS/TS), PhpStorm, RubyMine, GoLand, Rider (.NET), and CLion (C/C++). Each IDE provides deep, language-aware tooling: smart refactoring, static analysis, test runners, debuggers, and first-class AI Assistant and Junie coding agent integration.

Find unused files, dependencies, and exports in JavaScript and TypeScript projects

Knip is an open-source CLI tool that detects unused files, dependencies, devDependencies, and exports in JavaScript and TypeScript codebases. It analyzes the full dependency graph to identify dead code that accumulates over time — especially relevant for AI-generated codebases where unused artifacts pile up faster than manual cleanup can handle. With over 10,800 GitHub stars, it has become a standard code hygiene tool in the JS/TS ecosystem.

AI documentation for legacy codebases

Kodesage is an AI platform designed for navigating and documenting legacy systems, consolidating knowledge from code, issue tickets, and wikis to generate function-level documentation. It creates AST-based code maps that help teams understand complex 20-year-old codebases in plain English, with on-premises and air-gapped deployment options for high-security enterprise environments.

Markdown with JSX components

MDX is a format that seamlessly combines Markdown with JSX, allowing authors to embed React components directly inside Markdown documents. It solves the problem of static content being too limited for modern web applications by making documentation interactive — charts, custom widgets, and live code examples can live alongside prose. MDX is the backbone of Docusaurus, Nextra, and countless React-based docs stacks.

Blazing-fast PHP linter, formatter, and static analyzer in Rust

Mago is a comprehensive PHP toolchain written in Rust that unifies linting, formatting, and static analysis into a single binary. It enforces PER-CS formatting standards, catches code smells with 100+ lint rules, and performs deep type inference for semantic analysis. Inspired by Clippy and OXC from the Rust ecosystem, it delivers performance orders of magnitude faster than PHPStan and Psalm while requiring no PHP runtime to execute.

Convert any file to Markdown for LLM pipelines

MarkItDown is a lightweight Python utility by Microsoft that converts files into clean Markdown optimized for LLM pipelines and text analysis. It supports PDF, Word, Excel, PowerPoint, HTML, images with OCR, audio with transcription, and text formats like CSV, JSON, and XML. The tool preserves document structure including headings, tables, lists, and links while keeping output token-efficient. It offers a CLI, a four-line Python API, Docker support, and a plugin architecture for extensions.

AI coding assistant with full codebase understanding

Open-source AI coding assistant that runs in your terminal, letting developers chat naturally with an LLM that has full project context. Mentat coordinates multi-file edits across entire codebases — refactoring, feature implementation, bug fixing — with Git integration for review and revert. Requires GPT-4 API access, installs via pip; eliminates copy-paste friction of web AI tools.

Terminal-native coding agent by Mistral AI

Mistral Vibe is a native CLI coding agent from Mistral AI, powered by their Devstral coding model, that runs directly in the terminal with deep project awareness including automatic file structure scanning and Git status integration. Released December 2025 alongside Devstral 2, it features smart @-file references, shell command execution, and conversational workflows. Mistral's entry into the agentic CLI coding market alongside Claude Code and OpenCode.

Project documentation with Markdown

Python-based static site generator purpose-built for project documentation. Simple YAML configuration, fast build times, and a rich plugin ecosystem. The Material for MkDocs theme adds a polished look with search, dark mode, and advanced navigation features. The go-to documentation tool for open-source projects and internal engineering docs that need to look professional with minimal effort.

Next.js documentation framework

Nextra is a Next.js-based static site generator designed for documentation websites and blogs with minimal configuration. Leverages the full Next.js ecosystem with pre-built themes (Docs and Blog), MDX support, automatic file-system routing, full-text search, dark mode, and i18n. Developers get fast, SEO-friendly docs sites while keeping access to Next.js features like React Server Components.