Lindy
assistantsAI workflow automation across applications
code 344
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.
Pipedream
assistantsAPI integration and workflow builder
CodeGPT by Judini
assistantsCode generation across multiple programming languages
Arc
devGlobal marketplace for remote freelancers and full-time talent
Coder
assistantsRun AI coding agents in a secure, controlled environment
Phind
assistantsAI search engine built for developers
Axiom
assistantsBuild browser automation without code
Realistic & Online
assistantsGenerate product backgrounds with one click
Flatlogic
assistantsBuild SaaS products, CRM systems, and internal tools
➤ QR Code AI ⌘
assistantsQR code generator with branding options
StackAI
assistantsNo-code platform for enterprise AI agents
Akkio
assistantsAI for data analysis and campaigns
BotPenguin
assistantsNo-code chatbot and AI agent builder
Theneo
assistantsDeveloper portal and API documentation
Build Your First AI Product with Devv
devCoding agent that helps builders ship full-stack AI products quickly
Agentforce
assistantsBuild autonomous AI agents integrated with Salesforce
Code Snippets AI
assistantsAI chat with integrated secure code library
AskCodi
assistantsMulti-model AI coding assistant and chat
Butternut.ai
assistantsBuild code and websites from natural language descriptions
Second.dev
assistantsBuild web applications faster with AI developer bots
Bind AI IDE
assistantsBuild full-stack web apps with AI code generation
Riku.AI
assistantsBuild chat, text, vision, and image AI apps without code
Graphite Note
assistantsExtract insights from audio, video, and text automatically
ModelsLab
assistantsAccess 1000+ AI models through a single API
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.