Replit
assistantsBrowser-based IDE with AI code assistant and built-in deployment
AI code tools assist with writing, testing, reviewing, and debugging software across a broad range of programming languages and environments. The 344 tools here include IDE integrations, web-based coding environments, specialized tools for data pipelines, and platforms for non-developers building internal apps.
Browser-based IDE with AI code assistant and built-in deployment
VS Code-based editor with deep AI chat and project-wide code understanding
JavaScript library for web scraping and DOM data extraction
Build full-stack apps by describing them in plain text
Access 1000+ generative media models
AI code assistant with privacy and compliance controls
Connect designers, product, and engineering to your codebase
AI character and chatbot platform
No-code game and app builder with AI
Multi-agent coding platform and IDE
Suite of AI tools for ecommerce content
Free coding courses in Python, JavaScript, and 15+ languages
Build and deploy voice AI agents in minutes
Web scraping without code
Build full-stack sites and coordinate agent teams
Generate customizable QR codes with analytics
Convert designs and prompts into production code
AI search visibility and content optimization platform
AI app builder for CRUD apps and admin panels
Library of Midjourney styles and SREF codes
AI personal assistant for content, code, and analysis
AI-powered IDE for faster coding
Generate clinical notes for therapists in seconds
No-code web app builder with zero lock-in
The category is wide and includes tools that serve very different audiences. Experienced developers typically want tools that integrate into their existing editor and support their specific language stack well. Teams may prefer tools with collaboration features, shared context, and audit logging. Non-developers building internal tools are better served by visual or low-code platforms like Dynaboard AI. Bug-fixing tools like FixThisBug.de focus on a narrow but high-value task. Code review and quality tools like GitRoll and Relicx focus on testing and reliability rather than generation. When comparing tools, practical benchmarks on your own codebase outperform general capability claims. Also consider how the tool handles context: tools with larger context windows handle full-file and multi-file edits more reliably. Security considerations include whether your code leaves your environment and under what terms it may be used to train future models.