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AI Assisted Coding
AI Assisted Coding open-source alternatives curated by the directory.
AI Assisted Coding
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24 of 24 tools
TechBlitz
Apache-2.0
Learn to code through interactive challenges, personalized learning paths, and AI-powered assistance
Kilo
MIT
Open source AI coding agent with 500+ models, bring-your-own-key support, and specialized modes for writing, debugging, and planning code across IDEs and CLI.
PearAI
Unknown
PearAI integrates cutting-edge AI tools into a powerful code editor, accelerating your coding process with features like AI chat and inline prompts.
Reflex
Apache-2.0
Build, iterate, and deploy full-stack web apps entirely in Python. Reflex combines an AI app builder, a full-stack framework, and one-click deployment in one platform.
CodinIT.dev
Apache-2.0
Build, deploy, and own full-stack web apps using AI prompts. Supports 19+ AI providers, Postgres, auth, storage, and serverless functions out of the box.
Aider
Apache-2.0
Terminal-based AI coding tool that lets you edit existing codebases or start new projects using LLMs like Claude, GPT, and DeepSeek.
Cline
Apache-2.0
AI coding agent that runs inside VS Code and the terminal, supporting multi-file edits, bash execution, and any LLM provider via bring-your-own-key.
Cody
Apache-2.0
Advanced AI coding assistant that helps enterprise teams write, fix, and maintain code with enhanced accuracy and consistency across large codebases
Continue
Apache-2.0
Runs source-controlled AI checks on every pull request, enforcing your engineering standards as native GitHub status checks with suggested fixes.
Dyad
Unknown
Create full-stack AI applications using any model or tool. Run entirely on your machine with complete privacy, flexibility, and control over your code.
Emdash
Apache-2.0
Desktop app that runs 25+ coding agents simultaneously, each isolated in its own Git worktree, so you can orchestrate code changes without switching tools.
Forgecode
Apache-2.0
Non-intrusive, lightweight AI coding assistant that integrates seamlessly with your terminal workflow. Get intelligent code suggestions without leaving your command line.
Kodus
Unknown
Open source AI code reviewer that analyzes pull requests for quality, security, and performance while respecting your existing rules and model preferences.
OmoiOS
Apache-2.0
Deploy AI agents that build features, fix bugs, and handle complex workflows overnight. Wake up to tested code and ready-to-review pull requests.
OpenCode
MIT
Open source AI coding agent that works in your terminal, IDE, or desktop app, supporting 75+ LLM providers with no code storage.
OpenHands
MIT
AI agent platform that runs autonomous coding agents to plan, write, and ship changes across codebases end-to-end, with support for any model and self-hosted deployment.
pi
MIT
Terminal-based coding agent with a minimal core, 15+ LLM providers, tree-structured session history, and a TypeScript extension system for building your own workflows.
Plandex
MIT
Terminal-based AI coding assistant with 2M token context window, diff review sandbox, and smart context management for building production-ready software.
Pullfrog
MIT
An open-source GitHub bot that runs AI agents to review PRs, triage issues, fix CI failures, and ship code using any LLM provider.
Pythagora
Unknown
AI development platform that builds React and Node.js apps inside VS Code, with 14 specialized agents handling planning, coding, debugging, and one-click deployment.
Superset
Unknown
Run 10+ parallel coding agents simultaneously on your machine. Switch between tasks seamlessly while agents work in isolated environments with universal IDE compatibility.
SWE-agent
MIT
State-of-the-art AI agent that uses language models like GPT-4o to autonomously solve GitHub issues, fix bugs, and implement features with configurable YAML setup.
T3 Code
MIT
Advanced AI coding assistant that enhances development workflow with intelligent code suggestions, automated debugging, and seamless integration.
Tabby
Unknown
Self-hosted AI coding assistant that enhances productivity with context-aware suggestions and privacy-focused implementation.























