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Description
Asimov serves as a sophisticated research agent for code analysis, adept at navigating intricate enterprise codebases. Its primary goal is not code generation but rather a deep understanding of the codebase, addressing the significant amount of time—up to 70%—that developers spend on comprehension tasks. This is achieved by mapping the interconnections between the code itself, the overarching architecture, and the decisions made by teams, all while preserving institutional knowledge as engineers come and go. Asimov also learns organically from team interactions and available documentation. Furthermore, it meticulously indexes the entire development environment, which encompasses code repositories, architectural documentation, GitHub discussions, and Teams conversations, fostering a comprehensive and enduring understanding of the systems in place and maintaining context through ongoing architectural modifications and shifts in team dynamics. By employing expanded context windows instead of conventional retrieval techniques, Asimov can reference any segment of a codebase in real-time during its reasoning processes, which allows for more precise synthesis across various components and enhances overall development efficiency. This capability not only streamlines workflows but also significantly reduces the cognitive load on developers, ultimately leading to improved productivity and innovation in software development.
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
API Access
Has API
Integrations
GitHub
Google Docs
Java
Jira
Microsoft Teams
Opsera
Slack
Visual Studio Code
Integrations
GitHub
Google Docs
Java
Jira
Microsoft Teams
Opsera
Slack
Visual Studio Code
Pricing Details
No price information available.
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
Reflection AI
Country
United States
Website
docs.reflection.ai/docs/about-asimov
Vendor Details
Company Name
GitHub
Founded
2008
Country
United States
Website
codeql.github.com
Product Features
Product Features
Static Code Analysis
Analytics / Reporting
Code Standardization / Validation
Multiple Programming Language Support
Provides Recommendations
Standard Security/Industry Libraries
Vulnerability Management