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Description

Amazon Q Developer is an advanced AI assistant built for professional developers, combining coding intelligence with deep AWS expertise. It’s designed to handle every stage of development—from writing and refactoring code to performing upgrades and automating documentation. Integrated with major IDEs and the AWS Management Console, it empowers developers to code faster and operate smarter using secure, context-aware assistance. Its agentic automation can autonomously implement features, test applications, and perform large-scale migrations like .NET to Linux or Java 8 to Java 17 in minutes. Developers can chat directly with Amazon Q inside Slack, Microsoft Teams, GitHub, and GitLab, where it provides architectural recommendations and incident resolution guidance. The tool also supports CLI autocompletions and AWS resource management to streamline workflows from the terminal to the cloud. Offering enterprise-grade access controls and IAM integration, it ensures that organizational data and permissions remain protected. Available on the AWS Free Tier, Amazon Q Developer enables up to 50 monthly AI interactions and 1,000 lines of code transformation at no cost, helping teams start building smarter right away.

Description

dcode is a versatile open-source terminal coding assistant designed specifically for developers and software teams. Utilizing the Deep Agents SDK, it enables the planning and execution of coding tasks, allows for the inspection and editing of project files, runs various tools, and can assign work to subagents. Its interactive terminal interface provides a continuous stream of responses and facilitates the resumption of conversations across different sessions, while the headless mode is tailored for scripted and CI workflows. Users can choose from a range of compatible model providers and input their own credentials, enabling them to customize aspects such as models, tools, plugins, skills, memory, middleware, hooks, and approval rules. The platform offers the option to approve or reject tool calls, and supports code execution both locally and in designated remote sandboxes. Furthermore, dcode is compatible with MCP tools and can integrate with LangSmith to track prompts, responses, tool calls, errors, and token utilization. Overall, it is designed for developers seeking to configure and examine an AI coding agent, rather than relying on a pre-defined coding assistant, thus fostering a more tailored coding experience. This flexibility makes it an appealing choice for those who prioritize customization and control in their development processes.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS IAM Identity Center Yes 
AWS Systems Manager Yes 
Amazon Q Yes 
Amazon SageMaker Unified Studio Yes 
Anthropic No 
AppCode Yes 
CLion Yes 
DataGrip Yes 
Eclipse IDE Yes 
GitHub Yes 
GoLand Yes 
JetBrains DataSpell Yes 
JetBrains MPS Yes 
OpenAI No 
PhpStorm Yes 
PyCharm Yes 
Rider Yes 
RustRover Yes 
Visual Studio Yes 
WebStorm Yes 

Integrations

AWS IAM Identity Center No 
AWS Systems Manager No 
Amazon Q No 
Amazon SageMaker Unified Studio No 
Anthropic Yes 
AppCode No 
CLion No 
DataGrip No 
Eclipse IDE No 
GitHub No 
GoLand No 
JetBrains DataSpell No 
JetBrains MPS No 
OpenAI Yes 
PhpStorm No 
PyCharm No 
Rider No 
RustRover No 
Visual Studio No 
WebStorm No 

Pricing Details

$19/month
Free Trial No 
Free Version Yes 

Pricing Details

Free
dcode is an open-source terminal coding agent. Model-provider API usage may incur separate charges; optional LangSmith services are priced separately.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/q/developer/

Vendor Details

Company Name

LangChain

Founded

2023

Country

United States

Website

www.langchain.com/dcode

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