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Description
OllaCoder serves as a private AI coding assistant tailored for VS Code, catering specifically to developers who prefer not to upload their source code to external servers. Operating locally, it utilizes your personal Ollama models and integrates features such as agent mode, inline edits, codebase chat, intelligent autocomplete, MCP servers, and a local-first runtime all within a single editor interface. The core philosophy behind OllaCoder emphasizes the notion that software development is a personal endeavor, asserting that your code should remain under your control while providing an AI assistant that is robust, transparent, and unobtrusive. It primarily communicates with your local Ollama instance, ensuring that prompts, completions, and modifications remain on your device; cloud services are optional, with API keys securely stored in the OS keychain. OllaCoder's agent mode is capable of planning tasks, modifying files, executing terminal commands, and confirming the accuracy of its work, allowing users to approve, reject, or revert any action taken. Additionally, the inline edits feature enables users to select a function, specify the desired change, and examine a real diff change by change, enhancing the coding experience. Overall, OllaCoder represents a significant step forward in maintaining code privacy while providing powerful AI-assisted development tools.
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
Integrations
C
C++
CSS
F#
Go
HTML
Hyperbolic
Java
Julia
Model Context Protocol (MCP)
Integrations
C
C++
CSS
F#
Go
HTML
Hyperbolic
Java
Julia
Model Context Protocol (MCP)
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
OllaCoder
Country
United States
Website
ollacoder.com
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
qwenlm.github.io/blog/qwen2.5-coder-family/
Product Features
Product Features
Alternatives
No Alternatives