Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
AICode stands out as the sole AI coding assistant meticulously crafted to manage intricate legacy enterprise software while guaranteeing complete data ownership. It is designed to adhere strictly to your project's overarching context, effectively identifying and rectifying AI errors before they can affect your codebase. The tool is structured around a compulsory five-stage workflow: Ideate, Specify, Refine, Code, and Verify, ensuring a comprehensive approach to software development. With a fully operational 5D codebase index that runs locally—comprising lexical, vector, AST, project map, and Git history—AICode optimizes performance and security. Queries are directed straight to your private Azure tenant, ensuring that no external server has access to your code. Developed and continuously improved on a substantial 700,000-line TypeScript production codebase, it exemplifies self-sustaining technology. This innovative tool is uniquely engineered for codebases that need to remain functional and relevant for the next five years, rather than creating mere prototypes. Its commitment to long-term viability sets it apart in the landscape of AI coding assistants.
Description
Uncover security weaknesses within a codebase using CodeQL, our premier semantic analysis tool for code. CodeQL empowers you to treat code as if it were data, enabling the writing of queries to identify every variant of a vulnerability, thereby eliminating it for good. By sharing your findings, you can assist others in this vital task. CodeQL is available at no cost for both research and open source projects. Execute real queries against widely-used open source codebases with CodeQL integrated into Visual Studio Code, experiencing firsthand the effectiveness of identifying poor coding practices and pinpointing similar issues throughout the entire codebase. You also have the option to create your own CodeQL databases for any project that complies with an OSI-approved open source license. It’s important to note that GitHub CodeQL is restricted to use on codebases that are either released under an OSI-approved open source license, utilized for academic research, or employed to generate CodeQL databases for automated analyses. To get started, simply download and incorporate the project's CodeQL database into VS Code, or generate a CodeQL database using the CodeQL command-line interface, allowing you to enhance your code's security comprehensively. Utilizing CodeQL not only improves your project but contributes to a safer coding environment for everyone.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Visual Studio Code
Yes
Earthly Lunar
No
GitHub
No
Java
No
Opsera
No
Integrations
Visual Studio Code
Yes
Earthly Lunar
Yes
GitHub
Yes
Java
Yes
Opsera
Yes
Pricing Details
$30,000/year/50 users
Free for individuals, companies with less than 10 employees, and non-profits.
Free Trial
Yes
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
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
Yes
Live Rep (24/7)
Yes
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
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
AI Sovereign Labs
Founded
2026
Country
France
Website
ai-code.ai
Vendor Details
Company Name
GitHub
Founded
2008
Country
United States
Website
codeql.github.com
Product Features
Product Features
Static Code Analysis
Analytics / Reporting
No
Code Standardization / Validation
No
Multiple Programming Language Support
No
Provides Recommendations
No
Standard Security/Industry Libraries
No
Vulnerability Management
No