
ChetakAI
ChetakAI is an integrated development platform that bridges the gap between AI, code, and collaboration by syncing entire projects, files, commits, and team activities to provide context-aware AI assistance.
https://chetakai.com/?ref=producthunt

Product Information
Updated:Oct 31, 2025
What is ChetakAI
ChetakAI is a revolutionary development tool designed to unify and streamline the software development workflow. Unlike traditional coding tools, it serves as a comprehensive layer that connects various development tools, AI models, and team collaboration in one cohesive workspace. The platform integrates seamlessly with existing IDEs and development environments, offering early access at $2.49 with the promise of transforming how development teams work together.
Key Features of ChetakAI
ChetakAI is a development tool that integrates code, AI, and team collaboration in one unified platform. It syncs entire projects including files, commits, and team activities to provide context-aware AI assistance. The platform supports multiple AI models (GPT-4, Claude-4, Gemini), offers real-time collaboration features, integrated version control, and seamlessly connects with existing development tools like IDEs, Git, and CI/CD pipelines.
Multi-Model AI Integration: Supports switching between different AI models (Claude-4, GPT-4, Gemini) optimized for specific coding tasks with full project context awareness
Intelligent Version Control: Built-in Git support with AI-powered commit messages and automated merge conflict resolution
Real-time Team Collaboration: Enables teams to work together in real-time with shared context, AI-assisted code reviews, and synchronized updates
Universal Tool Integration: Connects with existing development tools including IDEs, Git repositories, and CI/CD pipelines without requiring workflow changes
Use Cases of ChetakAI
Development Team Collaboration: Teams can work together seamlessly with shared context and AI assistance for code reviews and problem-solving
Code Maintenance and Refactoring: AI-powered analysis of entire codebases for intelligent refactoring suggestions and dependency management
Enterprise Software Development: Secure, scalable development environment with private deployment options and end-to-end encryption for sensitive projects
Pros
Seamless integration with existing development tools and workflows
Context-aware AI assistance that understands entire projects
Strong security features with end-to-end encryption and private deployment options
Cons
Currently in early access with limited availability
Requires additional subscription for advanced features (TecPac)
How to Use ChetakAI
Install ChetakAI Extension: Add ChetakAI extension into your existing IDE through a quick installation process. No need to switch development tools as it integrates directly with your current setup.
Sync Your Project Repository: Allow ChetakAI to automatically map your repository, dependencies, and team activity. This enables the AI to understand your entire project context.
Start Using the Connected Workspace: Begin coding, chatting, and collaborating in the web-based workspace with real-time AI assistance and full context awareness.
Choose AI Models: Switch between different AI models like Claude-4, GPT-4, and Gemini based on your specific coding tasks. ChetakAI can also automatically select the most appropriate model.
Collaborate with Team: Invite team members to share project context, participate in live chats, review code, and collaborate with AI in real-time within the unified workspace.
Use Version Control Features: Utilize the built-in Git support with AI-powered commit messages and intelligent merge conflict resolution capabilities.
Connect Additional Tools: Integrate with your existing development tools including IDEs, Git repositories, CI/CD pipelines, and cloud services for a seamless workflow.
ChetakAI FAQs
ChetakAI is a development tool that connects code, AI, and team collaboration in one platform. It syncs your entire project including files, commits, and teammates to give AI models full context before generating code.
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