Raccoon family

Raccoon family Raccoon is an AI intelligent productivity series launched by SenseTime, based on SenseTime's self-developed large language model, covering two major members: "Code Raccoon" and "Office Raccoon". Code Raccoon supports requirements analysis, architecture design, code writing and testing, and is compatible with 100+ mainstream languages such as Python, Java, C++, as well as VS Code and IDEA plug-ins, helping developers speed up by more than 50%. The office raccoon can connect multiple files and complex tables to achieve data cleaning, calculation, trend analysis and visualization, and significantly improve the efficiency of data processing and reporting. This series has served hundreds of thousands of enterprise users and is widely used in software research and development and intelligent office scenarios.

AI table tools AI programming AI code assistant AI IDE AI testing tools

1. Core features:

It is composed of code raccoon and office raccoon, which are respectively oriented to software research and development and intelligent office scenarios.
Code Raccoon covers requirements analysis, architecture design, code writing, and testing, supporting more than 100 major languages and common IDE plugins.
Office Raccoon supports multiple files, complex tables, data cleaning, analysis, and visualization, making it suitable for data processing and reporting tasks.
Based on SenseTime's self-developed large model, it emphasizes enterprise-level efficiency improvement and multi-scenario collaboration.

2. Usage scenarios

Efficiency improvement for coding, testing, and requirements analysis for development teams.
Used by office staff to handle multi-form, multi-file, and data analysis tasks.
It is used to promote R&D and office intelligence upgrades within the enterprise at the same time.
For organization-level productivity building that requires a unified AI assistant system.

3. Suitable for the crowd

Developers and R&D teams who need code assistance and architectural support.
Office workers who frequently work with reports, clean data, and do trend analysis.
Enterprises looking to unify the deployment of R&D and office AI tools.
Organizations with long-term needs for enterprise-grade AI productivity tools.

4. FAQs

What type of job is the Little Raccoon family best suited for?

It is best suited for R&D efficiency improvement and office data processing, two types of high-frequency productivity tasks.

What does Code Raccoon do mostly?

Code Raccoon mainly serves development scenarios, covering requirements analysis, code generation, testing, and multilingual programming support.

Who is the office raccoon suitable for?

Ideal for office users who need to handle complex forms, multiple files, and data analysis tasks.

Why is the little raccoon family more like a kit than a single tool?

Because it covers two different workflows at the same time, programming and office, rather than solving only a single point of problem.

Is the Little Raccoon Family suitable for corporate use?

Fit. It has served more enterprise users and is obviously oriented towards organization-level productivity improvement scenarios.

Similar Tools

Google Antigravity

Google Antigravity is an AI programming environment for the "agent-first" era, helping developers collaborate with multiple agents to complete the entire process from planning to coding, debugging and delivery. Google Antigravity embeds agents in IDEs, terminals, browsers, and other development tools, supporting task decomposition, automated execution, and traceable artifact records for easy review and reproducibility. With powerful reasoning and tool calling capabilities, Google Antigravity significantly improves code generation, test orchestration, script execution, and cross-project collaboration, making it suitable for individuals and teams to quickly build modern applications and services.

Kiro

Kiro is an AI-powered integrated development environment (IDE) powered by AWS that creates a full-process experience from prototype to production for developers. It uses a spec-driven development model that automatically converts natural language prompts into detailed requirements, system designs, and specific tasks, and performs code generation, documentation maintenance, unit testing, and performance optimization through intelligent agents. Built-in agent hooks support event-driven automation (such as saving file triggers) and Steering files to give users custom control over AI behavior. Kiro natively integrates Model Context Protocol (MCP) to connect to multiple tools and services (e.g., databases, documents, APIs), and is compatible with VS Code plugins and settings, supporting multimodal inputs such as image indication UI or architectural logic. Currently in preview, the core features are open for free, and tiered subscriptions are available for professional users.

ZOER

ZOER is an AI full-stack web app builder aimed at entrepreneurs, product managers, and no-code developers. Its value is not that it decides everything for the user at once, but that it provides actionable assistance around the idea of building front-end, back-end, and database applications: users can describe requirements, build full-stack applications, preview and deploy code, and then complete the follow-up process based on their own business judgment. When choosing such a tool, you need to pay attention to code quality, data security, and online testing, especially when it comes to accounts, customer profiles, contracts, courses, audio, video, or code output. Its visibility capabilities include AI web app generator, frontend, backend, and DB, making it more suitable for rapid application prototyping.

ZETIC.ai

ZETIC.ai is an end-side AI deployment and NPU-optimized platform aimed at AI engineers, mobile development teams, and edge device teams. Its value is not that it does everything at once, but provides actionable assistance around deploying models to end-side devices and optimizing inference performance: users can convert models, test hardware, optimize NPUs, monitor performance, and then complete subsequent processing based on their own business judgments. When choosing such tools, you need to pay attention to device compatibility, model accuracy, and deployment validation, especially when it comes to accounts, customer profiles, contracts, courses, audio, video, or code output, all of which should be reviewed manually. Its visible capabilities include on-device AI, NPU optimization, and benchmark on devices, making it better suited for end-side AI engineering.

ZeroTrusted.ai

ZeroTrusted.ai is an AI zero-trust security and LLM firewall platform aimed at security teams, AI application teams, and enterprise IT managers. Its value is not to make all the work for users at once, but to provide actionable assistance around securing data, identity, and AI prompt interactions: users can configure LLM firewalls, anonymous prompts, monitor health status, and handle security incidents, and then complete follow-up processing based on their own business judgment. When choosing such tools, you need to be mindful of privacy data, policy misjudgments, and corporate compliance, especially when it comes to accounts, customer profiles, contracts, courses, audio, video, or code output. Its visibility capabilities include LLM firewall, data protection, prompt anonymization, and SOAR, making it more suitable for enterprise AI security governance.

ZeroThreat

ZeroThreat is an AI web application and API security testing platform aimed at security teams, development teams, and DevSecOps personnel. Its value lies in not making all the decisions for users at once, but rather providing actionable assistance around scanning web applications and APIs for vulnerabilities and assisting in automated penetration testing: users can configure targets, run scans, view vulnerabilities, generate remediation recommendations, and follow up with their business judgment. When choosing such a tool, you need to pay attention to the scope of authorization testing, false positives, false positives, and fix verification, especially when it comes to accounts, customer information, contracts, courses, audio, video, or code output. Its visibility capabilities include AI-powered scanning, automated pentesting, and web/API security, making it more suitable for authorized security testing.

Latest Articles

Codex is stuck and not responding? Check by approval, terminal, and log check

If Codex is stuck and unresponsive, do not send the same message repeatedly. Confirm in order whethe

Does codex exec not modify files in CI? Read-only is the default key

codex exec In CI, it can analyze code without making changes; first check the sandbox: non-interacti

Does Codex Skills not trigger after installation? Check the table of contents and descriptions

If Codex Skills is installed but does not trigger, first check if it is located in the scan director

Does Codex config.toml not work after being changed? Troubleshooting by configuration priority

Codex config.toml changes that don't take effect usually don't mean the TOML file is corrupted, but

How does Codex CLI continue the previous session? Use resume to retrieve the context

After exiting the Codex CLI, you don't need to redescribe the entire task; just run codex resume sel

Qwen 3.8-Max released: 2.4 trillion parameters, open weight next week

On August 3, 2026, the Qwen team released the Qwen 3.8-Max on the official Qwen blog, positioning it