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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Unexpected outcomes are a common occurrence in software development. With complete insight into the entire sequence of calls, developers can pinpoint the origins of errors and unexpected results in real time with remarkable accuracy. The discipline of software engineering heavily depends on unit testing to create efficient and production-ready software solutions. LangSmith offers similar capabilities tailored specifically for LLM applications. You can quickly generate test datasets, execute your applications on them, and analyze the results without leaving the LangSmith platform. This tool provides essential observability for mission-critical applications with minimal coding effort. LangSmith is crafted to empower developers in navigating the complexities and leveraging the potential of LLMs. We aim to do more than just create tools; we are dedicated to establishing reliable best practices for developers. You can confidently build and deploy LLM applications, backed by comprehensive application usage statistics. This includes gathering feedback, filtering traces, measuring costs and performance, curating datasets, comparing chain efficiencies, utilizing AI-assisted evaluations, and embracing industry-leading practices to enhance your development process. This holistic approach ensures that developers are well-equipped to handle the challenges of LLM integrations.

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

Deep Agents Yes 
AgentForge Yes 
Anthropic No 
Azure Marketplace Yes 
Disco.dev Yes 
LangChain Yes 
LangGraph Yes 
LangSmith No 
Noma Yes 
OpenAI No 
Overmind Yes 
TierZero Yes 
Voker Yes 
ZenML Yes 
dcode Yes 

Integrations

Deep Agents Yes 
AgentForge No 
Anthropic Yes 
Azure Marketplace No 
Disco.dev No 
LangChain No 
LangGraph No 
LangSmith Yes 
Noma No 
OpenAI Yes 
Overmind No 
TierZero No 
Voker No 
ZenML No 
dcode No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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 No 
Mac No 
Linux No 
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

LangChain

Country

United States

Website

www.langchain.com/langsmith

Vendor Details

Company Name

LangChain

Founded

2023

Country

United States

Website

www.langchain.com/dcode

Product Features

Software Testing

Automated Testing No 
Black-Box Testing No 
Dynamic Testing No 
Issue Tracking No 
Manual Testing No 
Quality Assurance Planning No 
Reporting / Analytics No 
Static Testing No 
Test Case Management No 
Variable Testing Methods No 
White-Box Testing No 

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