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Agentic AI platform with a coding desktop app, CLI, and cloud agents for autonomous software development and office work.
Open-source, plugin-based ChatGPT command-line toolkit for AI commit messages, shell commands and translation in the terminal.
AI interview copilot delivering real-time answer suggestions and live transcription across video, phone and coding interviews.
AI tool that explains, optimizes, refactors and reviews code, with playful explanation styles for learners.
No public pricing
No public pricing
Free trial available
No public pricing
No public pricing
No public pricing
- ✦CSV to API conversion
- ✦Data parsing (CSV to JSON)
- ✦Filtering capabilities
- ✦Multi-agent collaboration for end-to-end tasks
- ✦Persistent memory and custom rules
- ✦Extensible skills and plugins
- ✦Rich context across code, images, and directories
- ✦Automatic codebase documentation generation
- ✦Terminal-native CLI and JetBrains IDE plugin
- ✦Cloud-hosted agents for enterprise use
- ✦npm-installable ChatGPT CLI
- ✦AI-generated Git commit messages
- ✦Natural-language to shell commands
- ✦AI translation plugin
- ✦Extensible plugin system
- ✦Build custom AI CLI workflows
- ✦Real-time answer suggestions
- ✦Live interview transcription
- ✦STAR and bullet response formats
- ✦Chrome extension for online assessments
- ✦AI interview prep and mock interviews
- ✦Multiple AI models (GPT, Claude, Gemini)
- ✦AI code explanation in plain language
- ✦Multiple explanation styles/personas
- ✦Code optimization suggestions
- ✦Code refactoring
- ✦Code review
- ✦Example algorithms to learn from
- →Sharing CSV data with a team via an API
- →Creating a public API from CSV data
- →Filtering and accessing specific data within a CSV file programmatically
- →Autonomous feature development in large codebases
- →Terminal-based AI pair programming
- →Cross-department task automation for legal, finance, HR
- →Onboarding developers to unfamiliar codebases
- →Writing commit messages automatically
- →Turning plain English into terminal commands
- →Translating text from the command line
- →Creating personal AI CLI tools
- →Getting live help during interviews
- →Answering online coding assessments
- →Practising with AI-generated questions
- →Handling phone and video interviews
- →Understanding unfamiliar code
- →Learning how algorithms work
- →Refactoring and cleaning up code
- →Getting a quick AI code review
- →Explaining code to beginners