Alternatives to Solid

Visually build native & web apps with AI agents and exportable code

Build and deploy full-stack apps from natural language with Replit Agent.

Build full-stack web apps by chatting with AI.

Turn ideas into live apps and websites with AI, no coding required.

Hybrid dev tool combining AI, NoCode, and full-code with reusable micro-apps.

AI-powered app builder: build and host websites, tools & apps in minutes

Generate & deploy Next.js landing pages in 5 minutes with AI.

Low-code, pro-code, and AI platform for SAP extensions and automation.

Turn sketches into working UI with Make Real Tldraw

Open-source framework for building multi-agent AI systems from Microsoft Research

AI-native design tool that ships React+Tailwind code, not mockups.

Unified API lifecycle platform with AI-powered testing and documentation

Autonomous AI software engineer for enterprise production code deployment.

Open-weight agentic coding models for high-consequence enterprise software development.

Open-source Python framework to build LLM apps with decorators.

Enterprise AI platform with 40+ pre-built applications for rapid deployment

Python decorator library for minimal-abstraction LLM apps with observability

Chinese LLM platform for enterprise agents, MaaS, and open-source models

AI agent observability for tracing, monitoring, and evaluating LLM apps

Open-source low-code platform to build internal apps 80% faster

No-code AI app builder that turns spreadsheets into operational apps.

Build full-stack React/Next.js apps from plain English and deploy instantly

Enterprise AI code assistant with air-gapped deployment and custom fine-tuning.

Edge-native multimodal AI for real-world video intelligence.

System-wide context layer for AI coding agents across multi-repo projects

Decentralized AI inference with sub-5ms latency and verifiable compute

Connect AI agents to 715+ MCP tools with built-in auth and credential management.

Multi-agent AI coding assistant for VS Code

Fine-tune and deploy open-source LLMs without managing infrastructure.

Optimized local LLM fine-tuning with 2x speed and 90% less memory