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GLM model line assistant for presentations, writing and coding; real LLM product.
Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.
Kiro is a spec-driven agentic coding tool for IDE, CLI and web that turns prompts into specs and catches bugs with property-based tests.
Gamified platform to learn 20+ programming languages via interactive lessons, a browser playground and an AI tutor.
AI coding platform routing many agents and models through one encrypted, usage-based endpoint with CLI, IDE and multi-agent execution.
No public pricing
No public pricing
No public pricing
- ✦AI-powered presentation generation (AI Slides)
- ✦Professional writing assistance (AI writer, content generator)
- ✦Code generation and explanation (AI code generator, code agent)
- ✦Information search and deep research
- ✦Brainstorming ideas
- ✦Text summarization
- ✦Overcoming writer's block
- ✦Automating tedious tasks
- ✦AI-generated documentation for GitHub repos
- ✦Conversational Q&A about a codebase
- ✦Browsable index of popular repositories
- ✦Deep code indexing via Devin
- ✦Spec-driven development (requirements, design, tasks)
- ✦Parallel agents, local or cloud
- ✦Property-based and correctness testing
- ✦Works in IDE, CLI, web and mobile
- ✦Multiple models (Claude, open-weight, Auto)
- ✦Headless CLI for CI/CD
- ✦Context from tools like Figma and Terraform
- ✦Interactive lessons in 20+ languages
- ✦Browser playground to run code with no setup
- ✦AI tutor that explains and debugs code
- ✦Shareable completion certifications
- ✦Cheat sheets, docs and developer tools
- ✦Team/business training option
- ✦Unified encrypted inference endpoint
- ✦Multi-agent parallel execution
- ✦CLI, IDE, and API access
- ✦App builder and remote coding agents
- ✦Chairman LLM output evaluation
- ✦35+ IDE integrations
- →Creating stunning presentations for various purposes.
- →Generating professional-grade written content, including research papers and emails.
- →Writing and explaining complex code scripts, such as Python.
- →Conducting deep research and finding information efficiently.
- →Brainstorming new ideas for projects or content.
- →Summarizing long texts quickly.
- →Getting assistance for academic tasks (for students).
- →Developing marketing content and strategies (for marketers).
- →Understanding an unfamiliar codebase quickly
- →Onboarding to open-source projects
- →Answering questions about repo internals
- →Turning prompts into maintainable, spec-matched code
- →Catching bugs unit tests miss
- →Reviewing PRs and fixing bugs in CI/CD
- →Learning to code from scratch
- →Practicing a new programming language
- →Getting instant AI help while coding
- →Earning certificates to share
- →Onboarding and training engineering teams
- →Automating refactors, tests, and migrations
- →Running competing AI coding agents
- →Building apps from prompts
- →Integrating agents into CI/CD