AI Coding Assistants
Inline code completion, chat-based coding, and AI pair programmers
135 tools
last updated August 16, 2026
showing 48 of 135 tools
Figma MCP Server
Official remote MCP server for design-to-code and write-to-canvas Figma workflows.
Figma MCP Server is Figma’s official remote Model Context Protocol surface for design-to-code agents. It gives supported clients structured design context, variables, components, selected-frame code context, Code Connect mappings, and beta write-to-canvas tools for creating or updating native Figma frames from an MCP client while keeping the workflow tied to Figma files.
Grok CLI
Community Grok terminal agent for xAI-powered coding and command-line workflows
Grok CLI is a community command-line interface for using xAI/Grok models from a terminal workflow. It fits developers who want a lightweight, scriptable Grok surface for coding help, command-line experiments, and local agent-style interactions without waiting for a heavier IDE integration. For aicoolies, it belongs in the fast-growing AI CLI agents lane beside Grok Build, Claude Code, Codex, Gemini CLI, and Qwen Code.
Kilo Code
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.
Talk to Figma MCP
Read/write MCP bridge between AI coding agents and Figma
Talk to Figma MCP is an MIT-licensed bridge from Grab that connects Cursor, Claude Code, and other MCP-capable agents to Figma through a local MCP server, WebSocket bridge, and Figma plugin. Unlike read-only context servers, it can inspect selections, create or modify nodes, update text in bulk, and automate design operations, so teams should review permissions before enabling write access.
Trae Agent
ByteDance's open-source LLM coding agent with multi-provider support
Trae Agent is ByteDance's open-source software engineering agent that autonomously resolves GitHub issues, fixes bugs, and implements features using any LLM provider. It supports OpenAI, Anthropic, Doubao, Azure, Ollama, and Gemini backends, making it one of the most provider-flexible coding agents available. With over 11,000 GitHub stars and a modular research-friendly architecture, it offers a strong alternative to Western-centric coding agents.
CodeScene
Code health analysis and technical debt quality gates
CodeScene analyzes code health, technical debt, and delivery risks by examining code patterns and change frequency, then integrates as CI/CD quality gates on pull requests. It scales AI-assisted development safely by measuring whether generated code maintains architectural integrity, with on-premises deployment options and pricing that starts free for open-source projects.
Cubic
AI code review that groups and orders PR changes
Cubic is an AI-powered code review platform used by teams at cal.com and n8n that organizes complex PRs by grouping files logically (Backend → API → UI) and provides an AI walkthrough of changes. At paid/team pricing should be verified in Cubic’s current purchase flow; it solves the jumpiness problem in large pull requests where reviewers lose context hopping between unrelated files, offering one-click fixes and custom rule enforcement.
GitHub Copilot CLI
GitHub Copilot in your terminal
Brings GitHub Copilot to the terminal, giving developers AI assistance for shell commands, error explanations, and code generation directly from the command line. Supports natural language queries to generate complex shell commands, explains error messages in plain English, and integrates with the broader GitHub Copilot ecosystem including model selection and premium request management.
Onlook
Visual IDE for React that designers can use
Onlook is an open-source visual editor for React and Next.js with 25.9K+ GitHub stars that lets designers edit real code-backed interfaces on an infinite canvas. It connects visual changes, AI chat, component and layer inspection, and versioned code workflows so teams can prototype and refine product UI without treating design files as the source of truth.
PR-Agent
Open-source AI-powered PR review with slash commands
PR-Agent by Qodo is the most widely adopted open-source AI code review tool with 11,500+ GitHub stars and 207 contributors. It provides automated PR description generation, intelligent line-by-line code review, and actionable improvement suggestions through intuitive slash commands like /describe, /review, and /improve, integrating natively with GitHub Actions, GitLab CI, Bitbucket, and Azure DevOps.
Refact.ai
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.
WhatTheDiff
AI-powered pull request summaries and code review
WhatTheDiff is an AI tool that generates human-readable pull request summaries and suggests code improvements. It analyzes code diffs to explain what changed and why in plain language, helping reviewers understand PRs faster. Integrates with GitHub and supports automated refactoring suggestions through a /wtd command. Useful for teams wanting to improve PR review speed and maintain changelog quality.
Augment Code
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.
Devin
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.
JetBrains AI
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.
Panto AI
Unified AI code review and application security platform
Panto AI is a unified AI-driven code review and application security platform that combines static analysis, secrets detection, dependency scanning, and infrastructure-as-code security into a single PR workflow. It contextualizes issues based on repository structure and code history to deliver actionable insights directly within pull requests on GitHub, GitLab, and Bitbucket with zero-configuration onboarding and compliance-ready reporting for SOC 2, ISO, and PCI-DSS.
Qodo
AI code integrity platform for test generation and quality
Qodo, formerly CodiumAI, is an AI code integrity platform focused on reviewing, testing, and improving code quality across the development lifecycle. It provides AI-powered code reviews, automated test generation, and context-aware suggestions that span IDE, pull request, and CI/CD workflows. Qodo distinguishes itself from general-purpose AI coding assistants by focusing on quality assurance rather than code generation alone.
SWE-Agent
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.
ForgeCode
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.
Gemini Code Assist
Google's enterprise AI coding assistant powered by Gemini
Gemini Code Assist is Google's business AI coding assistant for VS Code, JetBrains IDEs, Cloud Workstations, GitHub, and Google Cloud workflows. Standard and Enterprise plans include Gemini 3, a 1M-token context window, Gemini CLI access, preview agent mode, code completion, chat, transformation, PR review, and enterprise governance controls for GCP-heavy teams.
Kimi Code
AI coding agent by Moonshot AI
Terminal-based AI coding agent from Moonshot AI, powered by Kimi K2.5 with a 256K context window that achieves 76.8% on SWE-Bench Verified. Reads and edits code, executes shell commands, fetches web pages, and autonomously plans multi-step development workflows through natural language. Moonshot's entry into the AI coding agent market, leveraging their strength in large-context language models.
Sourcery
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.
HeroUI Chat
Prompt-to-React UI with HeroUI components
HeroUI Chat turns prompts or screenshots into production-ready React code using the HeroUI open-source component library, now 29K+ GitHub stars. It generates responsive React/Tailwind interfaces on top of maintained HeroUI components rather than one-off markup, making it useful for rapid prototyping and UI scaffolding when your stack already standardizes on HeroUI.
Kodus
Open-source AI code review with hybrid AST-LLM
Kodus is an open-source AI code review platform that combines AST analysis with LLM reasoning to reduce noisy comments. Kody learns team standards, supports GitHub, GitLab, Bitbucket, and Azure DevOps, is model-agnostic across Claude, GPT, Gemini, Llama and OpenAI-compatible endpoints, and offers free/community, $10/dev monthly or $8/dev annual Teams, and Enterprise options.
Pieces for Developers
AI-powered developer workflow
AI-powered developer productivity tool that captures, enriches, and organizes code snippets, links, and technical context across your workflow. Runs a local LLM on-device for privacy. Features Long-Term Memory that understands your development context across IDEs, browsers, and collaboration tools. Integrates with VS Code, JetBrains, Chrome, Obsidian, and more. AI copilot for explaining, generating, and transforming code. Cross-platform on macOS, Windows, and Linux.
Ellipsis
AI coding agent for code review and bug fixing
Ellipsis is a YC W24-backed AI coding teammate for GitHub repositories that reviews pull requests, catches bugs, writes summaries, answers codebase questions, and generates tested fixes from comments or issues. It pairs automated review with code generation, $20/dev/month seat pricing, SOC 2 Type 1 controls, and no source-code persistence between workflows.
Open Interpreter
Natural language interface for running code on your computer
Open Interpreter is an open-source natural-language interface for computers. It runs Python, JavaScript, shell commands, and other code locally through a ChatGPT-like terminal workflow, with user approval before execution. It can use hosted providers or local models, but its main tradeoff is safety: approved commands can access local files, apps, and system resources.
Sweep
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.
Tabnine
AI code assistant for enterprise
AI code completion assistant that runs locally or in the cloud with a focus on privacy and enterprise security. Trains on your codebase for personalized suggestions. Supports 30+ languages across VS Code, JetBrains, Neovim, and other IDEs. Features whole-line and full-function completions, natural language to code, and unit test generation. On-premise deployment option for air-gapped environments. SOC 2 certified. One of the earliest AI code assistants, now competing with Copilot and Supermaven.
Blackbox AI
AI code generation and autocomplete with code search
Blackbox AI is a multi-modal AI coding assistant providing real-time code generation, intelligent code search across 100M+ open-source repositories, and access to 300+ AI models for diverse development tasks. It consolidates code generation, debugging, testing, documentation, and search into a single platform. Stands out for extracting code from videos, images, and Figma designs — going beyond text-only AI assistants.
1Code
Desktop orchestrator for parallel AI coding agents
1Code is an open-source desktop application for running multiple AI coding agents in parallel with isolated git worktrees and browser previews. It orchestrates agents like Claude Code and Codex in separate sandboxed environments, preventing conflicts while enabling concurrent development on different features. Built by the 21st.dev team with 5,300+ GitHub stars.
21st.dev
npm for design engineers — shadcn/ui component marketplace
21st.dev is the largest open-source marketplace of shadcn/ui-based React Tailwind components, blocks, and hooks. Used by 1.4M developers with 200K monthly active users. Functions as an MCP server enabling AI coding agents to discover and compose UI components via API. Features a Magic AI feature that generates components from natural language prompts. All components installable with npx shadcn.
Accomplish Coworker
Open-source desktop AI coworker for browsing and code execution.
Accomplish Coworker is an MIT-licensed open-source AI coworker that runs on the desktop, combining computer-use style browsing with code execution so agents can research, implement, run, and debug workflows in one local environment.
Amazon CodeGuru Reviewer
AWS managed AI code review for Java and Python
Amazon CodeGuru Reviewer is an AWS managed service that provides automated code analysis and recommendations on pull requests for Java and Python codebases. It integrates with GitHub, Bitbucket, and AWS CodeCommit, using machine learning trained on Amazon's internal code review practices to identify bugs, security vulnerabilities, and performance issues with IAM-based access control for enterprise governance.
Auggie
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.
Brooks-Lint
AI code review grounded in twelve classic software-engineering books
Open-source (MIT) AI reviewer with a distinctive angle: findings are grounded in twelve classic engineering books, cited by source, and framed as decay-risk diagnostics with a 0–100 Health Score. Runs as an Agent Skill across Claude Code, Gemini CLI, Codex, and other coding agents, with GitHub Actions quality gates and SARIF output.
ChatDev
Multi-agent software company simulation for automated development
ChatDev simulates an entire virtual software company through multi-agent collaboration where LLM-powered roles including CEO, CTO, programmer, tester, and designer work together to produce complete software. With 32,000+ GitHub stars and a NeurIPS 2025 accepted paper, it offers a novel approach to automated software development through role-based agent orchestration.
Coasty
Open computer-use platform for browser, terminal, and full desktop automation
Coasty is an open-source computer-use platform for teams that want AI agents to operate across browser, terminal, and full desktop surfaces instead of only clicking DOM nodes. The project combines planner/orchestrator logic, visual and input control, local Electron workflows, remote sandbox options, an MCP server, and logs for debugging long-running automations. It is a strong fit for QA, research-to-action, form workflows, and repetitive desktop tasks where browser-only agents are too narrow.
CodeGPT
Multi-provider AI coding assistant with BYOK model access
CodeGPT is an AI coding assistant for VS Code and JetBrains IDEs that connects to multiple AI providers including OpenAI, Anthropic, Google, Mistral, and local models via Ollama using your own API keys. It offers code generation, explanation, refactoring, documentation writing, bug detection, and an agent marketplace with pre-built assistants for common tasks. The BYOK approach gives developers full cost control, no rate limits, and complete data ownership over their AI interactions.
Codoki
AI reviewer that catches hallucinations in generated code
Codoki is a specialized AI code reviewer focused on catching hallucinations in code generated by autonomous agents like Devin and Claude Code. It validates that AI-proposed code actually functions according to provided requirements, serving as a critical safety layer for teams where AI agents generate a significant portion of the codebase and human review capacity cannot keep pace with generation speed.
Conductor.build
Run a team of AI coding agents in parallel on your Mac
Web-based dashboard for monitoring and managing multiple AI coding agent sessions. Provides real-time visibility into what each agent is doing, resource consumption, and task progress across your team. Centralizes agent management so team leads can assign work, review outputs, and track productivity across multiple concurrent AI-assisted development workflows from a single interface.
Copilot for Xcode
GitHub Copilot AI assistant native to Xcode
Copilot for Xcode is GitHub's official AI coding assistant for Apple's Xcode IDE. It provides inline code completions, chat-based coding help, and code review directly in Swift and Objective-C workflows. The extension integrates natively with Xcode, supporting iOS, macOS, watchOS, and tvOS development with context-aware suggestions. With 6K GitHub stars, it is the standard way Apple platform developers access Copilot.
DeepSeek Coder
State-of-the-art open-source code language models
DeepSeek Coder is a family of open-source code language models trained from scratch on 2 trillion tokens of code and natural language data. Available in sizes from 1B to 33B parameters, these models support 80+ programming languages with 16K context windows and fill-in-the-blank capabilities. DeepSeek Coder outperforms CodeLlama-34B on HumanEval and MBPP benchmarks while being commercially licensable under MIT.
Dyad
Local open-source AI app builder running entirely on your machine
Dyad is a local-first, open-source AI app builder with 20,000+ GitHub stars that provides a Lovable and Bolt.new alternative running entirely on your machine. It supports React and Next.js frameworks, integrates with Ollama for fully offline AI generation, and works cross-platform on macOS, Windows, and Linux with both cloud and local LLM providers.
Embedder
AI coding agent for embedded systems and firmware engineering
Embedder is a specialized AI coding agent for firmware and embedded systems development. It supports 400+ MCU variants including STM32 and ESP32, parses hardware datasheets to understand register maps and pin configurations, and verifies generated code by interacting with physical boards via serial console. YC S25 participant currently in beta.
Entire
Code management platform for AI coding agents
Entire is an AI-native code management platform designed for teams managing fleets of AI coding agents. Founded by former GitHub CEO Thomas Dohmke, it records the reasoning and instructions behind AI-generated code alongside the code itself, making agent-written software easier to review, audit, and maintain. Launches with Checkpoints, an open-source CLI tool that logs prompts and token usage for Claude Code and Google Gemini CLI, with more agent integrations planned.
Figma Console MCP
Turn a Figma design system into a programmable API for AI assistants
Figma Console MCP is open-source design-system infrastructure that exposes Figma to AI assistants through MCP. It supports structured extraction, design creation and editing, debugging, accessibility audits, and bidirectional design-token workflows across local, remote read-only, and paired cloud modes; it is not a generic one-click Figma-to-code exporter.
Get Shit Done (GSD)
Meta-prompting and context engineering system for Claude Code agents
GSD is a meta-prompting, context engineering, and spec-driven development system designed for Claude Code and compatible AI coding agents. With over 46,000 GitHub stars, it implements a structured four-phase workflow of Discuss, Plan, Execute, and Verify to combat context rot in long AI coding sessions. The system uses multi-agent orchestration with persistent file-based memory.