StarCoder

StarCoder

BigCode
+
+

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About

Cursor is an AI coding agent and development platform for building ambitious software faster. The platform lets developers hand off tasks to agents that can build, test, demo, and prepare features for review. Cursor supports autonomous and parallel agent workflows, including cloud agents that can work on multiple tasks across repositories. It runs across the editor, terminal, Slack, and GitHub, helping teams automate coding, code review, PR workflows, and repetitive engineering work. Cursor also lets users choose from leading AI models for different tasks, including models from OpenAI, Anthropic, Gemini, SpaceXAI, and Cursor. Built for developers, engineering teams, and enterprises, Cursor helps accelerate software development while keeping humans focused on decisions and review.

About

StarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+ programming languages, Git commits, GitHub issues, and Jupyter notebooks. Similar to LLaMA, we trained a ~15B parameter model for 1 trillion tokens. We fine-tuned StarCoderBase model for 35B Python tokens, resulting in a new model that we call StarCoder. We found that StarCoderBase outperforms existing open Code LLMs on popular programming benchmarks and matches or surpasses closed models such as code-cushman-001 from OpenAI (the original Codex model that powered early versions of GitHub Copilot). With a context length of over 8,000 tokens, the StarCoder models can process more input than any other open LLM, enabling a wide range of interesting applications. For example, by prompting the StarCoder models with a series of dialogues, we enabled them to act as a technical assistant.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers, engineering teams, software companies, startups, enterprise engineering organizations, product teams, DevOps teams, AI coding teams, code reviewers, and technical leaders that need AI coding agents, autonomous development, cloud agents, parallel task execution, code review, CLI workflows, Slack collaboration, GitHub integration, model choice, automations, and secure software development at scale

Audience

Developers interested in an LLM for code generation

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$20/month
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • Cursor is one of the best AI coding tools because it feels built around how developers actually work. It is not just autocomplete; it can understand a repo, make edits, explain code, help debug, and work through bigger tasks with an agentic workflow. I like that it combines the familiar feel of a code editor with deeper AI features like Agent mode, project rules, MCP, skills, and CLI support. That makes it useful for everyday coding, but also flexible enough for more advanced workflows. The model options and pricing controls are also helpful. Being able to choose stronger or cheaper models depending on the task makes Cursor easier to fit into a real development routine.
  • I'm a novice to intermediate programmer and I've always felt a bit overwhelmed by editors. I've been learning to code by copy and pasting a million times into chatgpt. Switching to cursor saves me so much time, and I love how easy it is to give it the context. It has this awesome feature where you can upload docs into it and it can go pull the docs when answering questions, which was one of my biggest pain points as a user when AI would give me old docs or out of date code. Another epic feature was the natural language terminal commands, which have allowed me to get through projects i previously would get stuck on.

Cons

  • I don't have any cons about Cursor. Use it daily in my development.
  • No IDE is perfect, but this one is by far my favorite. I think most of the cons lie in the limitations of the AI models right now. I think the code interpreter is a littley sketchy to use becuase it's hard to see exactly what code its suggesting I change so I ran into some issues when using it without double checking the work, but it also saved me in a couple spots I got stuck.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Cursor
Founded: 2022
United States
www.cursor.com

Company Information

BigCode
Founded: 2023
huggingface.co/blog/starcoder

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Categories

Categories

Integrations

GitHub
OpenAI
Agensi
Anthropic
Bevel
Claude Sonnet 3.7
Cline
Dock
Emdash
GPT-5.6 Sol Ultrafast
Jellyfish
Kimi Code
MemClaw
OpenCode
PageAI
Repo Prompt
Superblocks
Userback
Woz
Xquik

Integrations

GitHub
OpenAI
Agensi
Anthropic
Bevel
Claude Sonnet 3.7
Cline
Dock
Emdash
GPT-5.6 Sol Ultrafast
Jellyfish
Kimi Code
MemClaw
OpenCode
PageAI
Repo Prompt
Superblocks
Userback
Woz
Xquik
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