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Average Ratings 0 Ratings

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ease
features
design
support

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Description

AutoCoder stands out as the pioneering full-stack “VibeCode” generation tool that seamlessly converts straightforward chat prompts into complete web applications without the need for Supabase. Utilizing a conversational interface, it efficiently produces synchronized front-end components, backend logic, and database schemas in a single step, and it also verifies your intended user flow to guarantee precision prior to coding. Users maintain comprehensive control with the ability to make inline manual adjustments and can deploy the entire stack with just one click. Supporting a variety of AI models, it caters to a wide range of applications, from developing order management systems for coffee shops and investor-related websites to personal blogging platforms, all while providing real-time code previews and a natural-language API for programmatic data queries or updates. By integrating UI design, server logic, and data management into a cohesive chat-driven process, AutoCoder significantly speeds up both the prototyping phase and production deployment, facilitating rapid iterations without the burden of boilerplate configurations or extensive manual setups. Ultimately, this innovative tool empowers developers to focus on creativity and functionality rather than technical hurdles.

Description

Qwen2.5-Coder-32B-Instruct has emerged as the leading open-source code model, effectively rivaling the coding prowess of GPT-4o. It not only exhibits robust and comprehensive programming skills but also demonstrates solid general and mathematical abilities. Currently, Qwen2.5-Coder encompasses six widely used model sizes tailored to the various needs of developers. We investigate the practicality of Qwen2.5-Coder across two different scenarios, such as code assistance and artifact generation, presenting examples that illustrate its potential use cases in practical applications. As the premier model in this open-source initiative, Qwen2.5-Coder-32B-Instruct has outperformed many other open-source models on several prominent code generation benchmarks, showcasing competitive capabilities alongside GPT-4o. Additionally, the skill of code repair is crucial for programmers, and Qwen2.5-Coder-32B-Instruct proves to be an invaluable tool for users aiming to troubleshoot and rectify coding errors, thereby streamlining the programming process and enhancing efficiency. This combination of functionalities positions Qwen2.5-Coder as an indispensable resource in the software development landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

C
C#
C++
CSS
Clojure
Elixir
Go
HTML
Hugging Face
Hyperbolic
JavaScript
Julia
ModelScope
R
Ruby
Rust
Scala
Sesterce
Supabase
TypeScript

Integrations

C
C#
C++
CSS
Clojure
Elixir
Go
HTML
Hugging Face
Hyperbolic
JavaScript
Julia
ModelScope
R
Ruby
Rust
Scala
Sesterce
Supabase
TypeScript

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

AutoCoder

Country

United States

Website

www.autocoder.cc/

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

qwenlm.github.io/blog/qwen2.5-coder-family/

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