Weesify
assistantsAll-in-one link, content, and QR code tools
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.
All-in-one link, content, and QR code tools
Browser automation with reusable workflows
Free AI content creation for articles, emails, images, and blog ideas
No-code mobile app builder for Shopify and WooCommerce stores
Automate workflows and deploy AI without code
AI-generated placeholder avatars for mockups
APIs for text summarization and media processing
Code review tool that learns your team's standards
No-code test automation for web applications
Recipe costing and menu management for independent cafes
Directory of business listings across multiple niches
Live HD football streaming across major global tournaments
AI requirements management for product development teams
Online gaming platform
Indian news summarized in 60 seconds
Life insurance sales platform with drag-and-drop customization
Convert product requirements into production code using AI and TDD
No-code database to manage inventory, projects, CRM, and more
AI testing platform combining NLP and RPA for enterprise QA
Free API for AI-generated placeholder avatars and profile pictures
Humanize AI text to pass detection tools
Find and fix code vulnerabilities automatically
Build AI apps without code using integrations and a copilot
Generate optimized Midjourney prompts with AI keywords
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.