AI Coding Assistants
23 products
Kilo by Anaconda
Anaconda
·AI Coding Assistants
-
Sonar Vortex
Sonar
·AI Coding Assistants
-
Devin
Cognition
·AI Coding Assistants
-
PrettyWhale.aiCore Product
PrettyWhale.ai
·Data Transformation Platforms+3
-
Tabnine Enterprise Context Engine
Tabnine
·AI Coding Assistants
-
Tabnine AI Coding Platform
Tabnine
·AI Coding Assistants+1
-
Antigravity IDE
Google Antigravity
·AI Coding Assistants+2
-
Antigravity SDK
Google Antigravity
·AI Coding Assistants
-
Antigravity CLI
Google Antigravity
·AI Coding Assistants
-
Antigravity 2.0
Google Antigravity
·AI Coding Assistants
-
Creatio.ai
Creatio
·No-Code & Low-Code App Builders+1
-
PyCharm
JetBrains
·Code Editors+1
-
Gordon
Docker
·AI Coding Assistants
-
Kepler by GitKraken
GitKraken
·AI Coding Assistants
-
Hostinger Connector
Hostinger
·Platform as a Service (PaaS)+1
-
Cursor
Cursor
·AI Coding Assistants
5
IBM Bob
IBM
·AI Coding Assistants
-
AWS Transform
Amazon Web Services (AWS)
·AI Coding Assistants
-
Snowflake CoCo
Snowflake
·AI Coding Assistants
5
Claude Code
Anthropic
·AI Coding Assistants
4.8
Gemini Code AssistCore Product
Google Cloud
·AI Coding Assistants
-
Vibe for CodeAI Agent
Mistral
·AI Coding Assistants
-
CodexCore Product
OpenAI
·AI Coding Assistants
-
AI Coding AssistantsMain
Kilo is an open-source AI coding agent used by over 5 million builders to plan, write, and debug code. It can be integrated into IDEs, CLIs, or run in the cloud, and supports a wide range of models without vendor lock-in.
Features
- Plan, code, debug, and review pull requests without switching tools
- Integrate AI agents across IDE, CLI, and Cloud environments
- Choose from 500+ models and 19,000 vetted packages
- Automatically route to the best model for the task and budget
- Maintain session context across different tools
- Inspect agent prompts and context
- Implement organizational policies for model usage
- Compare live model rankings and performance data
AI Coding AssistantsMain
Kilo is an open-source AI coding agent used by over 5 million builders to plan, write, and debug code. It can be integrated into IDEs, CLIs, or run in the cloud, and supports a wide range of models without vendor lock-in.
Features
- Plan, code, debug, and review pull requests without switching tools
- Integrate AI agents across IDE, CLI, and Cloud environments
- Choose from 500+ models and 19,000 vetted packages
- Automatically route to the best model for the task and budget
- Maintain session context across different tools
- Inspect agent prompts and context
- Implement organizational policies for model usage
- Compare live model rankings and performance data