AI Coding Assistants
23 products
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
-
VibeAI Agent
Mistral
·AI Coding Assistants
-
CodexCore Product
OpenAI
·AI Coding Assistants
-
AI Coding AssistantsMain
Provides AI coding agents with context and constraints, verifies their output in real-time, and offers immediate feedback for corrections.
Features
- Inject project context and constraints before code generation
- Verify code changes in real-time with algorithmic analysis
- Guide AI coding agents with architecture rules and security standards
- Reduce token costs by optimizing context delivery
- Catch bugs and vulnerabilities before they reach production
- Ensure agents adhere to team conventions and approved libraries
- Minimize CI build failures by detecting issues early
- Provide continuous feedback loop for AI agents
AI Coding AssistantsMain
Provides AI coding agents with context and constraints, verifies their output in real-time, and offers immediate feedback for corrections.
Features
- Inject project context and constraints before code generation
- Verify code changes in real-time with algorithmic analysis
- Guide AI coding agents with architecture rules and security standards
- Reduce token costs by optimizing context delivery
- Catch bugs and vulnerabilities before they reach production
- Ensure agents adhere to team conventions and approved libraries
- Minimize CI build failures by detecting issues early
- Provide continuous feedback loop for AI agents