No-code form builder
Drag-and-drop interface
50+ customizable field types
Conditional logic
Payment collection
Scheduling forms
PDF generation
Workflow automation
Customizable branding
Integrations with other apps
CodeGeeX, GenPen AI, Streamlit, Prisma Assistant, CodeWhizz, Prompt Club, AI Generating, Devika AI, CopilotChat, Qodo (formerly Codium) are the best paid / free Code Generation tools.







Code generation is an AI technique that involves using machine learning models to automatically generate code based on input specifications or examples. It has gained significant attention in recent years due to advancements in natural language processing and deep learning. Code generation aims to streamline software development by automating repetitive coding tasks and enabling developers to focus on higher-level design and problem-solving.
Core Features
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Price
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How to use
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|---|---|---|---|
Fillout | No-code form builder |
Free $0 /month Unlimited forms, unlimited seats, 1000 responses/mo, Multi-page forms, Form embedding, Collect payments, Resume in-progress forms, Scheduling forms, PDF document generation, Conditional logic, Unlimited file uploads, Fillout Workflows, Field validation, Answer piping, Calculations and scoring, Pre-fill and hidden fields, Mobile optimized forms, Airtable, Sheets, Notion, webhook and 50+ more
| Build forms using a drag-and-drop interface, choosing from 50+ customizable field types. Implement intelligent routing for automation. Customize the form's appearance with themes, fonts, logos, and custom CSS. Share forms via custom domains, QR codes, or email. Embed forms on any website as a popup, slider, side tab, or full screen. |
Dify.AI | Visual Prompt Management |
Sandbox Free Free Trial of Core Capabilities, 200 messages, Support OpenAI/Anthropic/Llama2/Azure OpenAI/Hugging Face/Replicate, 1 Team Workspace, 1 Team Member, 5 Apps, 50 Knowledge Documents, 50MB Knowledge Data Storage, 10/min Knowledge Request Rate Limit, 5,000/day API Rate Limit, Standard Document Processing, 10 Annotation Quota Limits, 30 Days Log History
| Use Dify.AI to visually design AI apps in an all-in-one workspace, fortify apps with reliable data pipelines using the RAG pipeline, empower prompt design and testing with the Prompt IDE, monitor and refine model reasoning with Enterprise LLMOps, integrate AI into products with the BaaS solution, create custom LLM Agents, and orchestrate AI workflows. |
Continue | AI-powered code autocompletion | Install the Continue extension for VS Code or JetBrains. Connect your preferred AI models and context sources. Customize autocomplete and chat experiences within your IDE. Use tab to autocomplete code, reference code and chat, and highlight and edit code sections with natural language. | |
STUDIO AI | AI-powered design suggestions | Start Start free. Upgrade to add a custom domain and unlock advanced features. | Highlight an area you are stuck on to see design suggestions. Speak to it to autocomplete multi-step tasks. Press one button to adapt your design to fit all screen sizes. |
LiteLLM | LLM Gateway for 100+ LLMs |
Open Source $0 Free
| Use LiteLLM by calling LLM APIs using the chatGPT format - completion(model, messages). It provides consistent outputs and exceptions for all LLM APIs. You can deploy LiteLLM open source or try LiteLLM Enterprise for more features. |
UI Bakery | AI App Generator |
Free $0 Unlimited apps, pages, client actions, data sources. Up to 5 users. Modules & Actions Library. Mobile Responsive Apps. AI Capabilities. 1000 scheduled job/webhook/server action executions per month. Community support
| Users can generate apps by providing a text prompt detailing desired features, then visually edit and customize the app using a drag-and-drop interface. The platform supports connecting to various databases and APIs. |
Landbot | AI Agent Chatbots (GPT-powered) |
Sandbox Free Forever For individuals just getting started with chatbots. Includes 100 chats/mo and 1 seat.
| Users can build GPT-powered bots for WhatsApp, Web, or Messenger using Landbot's no-code chatbot builder. The platform allows for designing and deploying chatbots anywhere with a visual drag-and-drop interface. Users can generate AI Chatbots in a few clicks, letting AI Agents automate chats, qualify leads, answer FAQs, and book meetings quickly and without code. |
Tabnine | AI-powered code completion |
Dev Preview 0 Free for qualified users. AI code completions for current line and multiple lines for full-function implementation. AI-powered chat using leading LLMs from Anthropic, OpenAI, and Tabnine. Foundational AI agents. Support for all major IDEs
| Install Tabnine in your IDE. It will automatically provide code completions and suggestions as you type. You can also use natural language comments to generate code blocks. Connect your codebase for personalized AI assistance. |
Albato | No-code integration platform |
Free $0/mo Ideal for easy two-step API automations
| Connect your apps to Albato, select a trigger event, choose actions to be performed, and start the integration. The platform offers a step-by-step Automation Builder for easy setup. |
v0.dev | Generative UI from text prompts | Chat with v0 by providing simple text prompts to generate UI components. Then, copy the generated React code and paste it into your project. |

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AI Code Generator
AI Agent
AI Code Assistant
Large Language Models (LLMs)
Rapid prototyping and proof-of-concept development
Generating code for repetitive tasks, such as CRUD operations or API integrations
Creating domain-specific libraries or frameworks
Automating code migration and modernization projects
Generating test cases and test data for software testing
User reviews of code generation tools are generally positive, with many praising the increased productivity and time-saving benefits. Some users appreciate the ability to customize generated code to match their preferred styles and conventions. However, a few users express concerns about the learning curve associated with some code generation tools and the need for careful review and testing of generated code. Overall, most users find code generation to be a valuable addition to their development workflows, streamlining repetitive tasks and enabling faster development cycles.
A developer uses a code generation tool to automatically create boilerplate code for a new web application, saving time on setup and configuration.
A data scientist leverages code generation to create data processing pipelines based on high-level specifications, without needing to write low-level code.
A mobile app developer utilizes code generation to create platform-specific UI components, ensuring consistent design across multiple devices.
To use code generation, developers typically provide input specifications, such as desired functionality, constraints, or examples of desired code. The code generation model then processes this input and generates corresponding code snippets or complete programs. Developers can integrate code generation into their existing development workflows, IDEs, or build automation tools. Some code generation tools offer visual interfaces for specifying requirements, while others rely on domain-specific languages or natural language input.
Increased productivity by automating repetitive coding tasks
Improved code quality and consistency
Faster prototyping and iteration cycles
Reduced cognitive load on developers
Easier maintenance and updates of generated code







































