CodeAnt AI vs Quills AI: Which is better?

CodeAnt AI is a tool engineered to identify and automatically repair flawed code. The system can detect various issues, such as anti-patterns, duplicate or dead code, overly complex functions, security vulnerabilities and more, offering suggestions and auto-fixes for these problems. The tool is created with the purpose to streamline developers' workflow, saving time by not only identifying but also rectifying problematic code, directly within the developers' Integrated Development Environment (IDE) and Continuous Integration (CI) systems like GitHub and BitBucket. The AI tool also documents the entire codebase, providing visibility into the code's structure and quality over time. It can operate on both file and repository levels, offering solutions at the individual file level, as well as scanning the entire codebase for potential issues. In addition, CodeAnt AI supports end-to-end integration with the development workflow and is designed to automatically address coding issues during pull requests, ensuring the highest code quality. While it is primarily aimed at developers, CodeAnt AI also provides organizations with an overview of code quality across different repositories and teams. CodeAnt AI can be deployed entirely on-prem or in Virtual Private Cloud (VPC), ensuring data safety.

View CodeAnt AI

Quills AI

Quills AI is an AI-driven assistant tool designed to analyze and visualize data from different sources, such as databases and CSV files. The solution uses natural language queries to streamline the data interaction process and enable users to understand and analyze data by simply communicating in plain English. The tool also includes AI-generated SQL query capabilities, allowing automatic generation of queries, thus easing the task of data analysis. Quills AI supports various industries and roles, enhancing productivity and decision-making processes. The tool has also integrated slack for collaborative data discussions and sharing within team members. It simplifies data extraction through natural language conversation, while also providing hosting options, and making data access easier for non-technical users.

View Quills AI

Key features

CodeAnt AI

Autonomous Preventive Security Platform that continuously attacks and defends to prevent data leaks.
Context Graph that visualizes the attack surface and identifies vulnerabilities in real-time.
Continuous pentesting with automated re-testing of assets on every deployment.
Cloud Threat Detection and Dynamic Application Security Testing (DAST) for identifying risks across cloud, code, and runtime environments.
Integration with various tools and compliance frameworks to ensure security and compliance for enterprises.

Quills AI

Natural Language Interaction: Users can interact with data using plain language for intuitive exploration.
SQL Query Generation: Automatically generates SQL queries to simplify data analysis tasks without requiring SQL expertise.
Data Visualization & Exports: Create visualizations and export data in various formats for insights and sharing.
Custom Prompts: Design personalized prompts for interactive and user-friendly data interactions.
Integration Capabilities: Seamlessly connect to databases, file sources, and integrate with platforms like Slack for collaborative discussions.

Useful for

CodeAnt AI

Continuous pentesting with real-time re-testing of assets on every deployment.
Autonomous agents that map attack surfaces and chain real exploits for thorough security assessments.
Comprehensive threat modeling that identifies vulnerabilities across code, cloud configurations, and third-party packages.
Dynamic application security testing (DAST) for running applications and APIs, even behind authentication.
Cloud security posture management (CSPM) to detect misconfigurations and risks mapped to actual attack paths.

Quills AI

Natural Language Interaction: Enables users to interact with data using plain language, making data exploration intuitive and accessible to non-technical users.
SQL Query Generation: Automatically generates SQL queries from user prompts, simplifying data analysis tasks and reducing the need for SQL expertise.
Data Visualization & Exports: Allows users to create visualizations and export data in various formats, facilitating insights sharing and further analysis.
Seamless Integration: Connects with various databases and file sources, enabling comprehensive data analysis and management without disruption.
Chatbot Integration: Incorporates chatbots for conversational data exploration, enhancing user engagement and streamlining data retrieval processes.

Use cases

CodeAnt AI

Continuous pentesting that automatically retests assets on every deployment to identify vulnerabilities.
Autonomous agents that map attack surfaces and simulate real exploits to enhance security.
Cloud threat detection that monitors for suspicious activity and live threats in cloud environments.
Dynamic application security testing (DAST) for running applications and APIs, including those behind authentication.
Static analysis for identifying risks in code, dependencies, and infrastructure as code (IaC) before merging changes.

Quills AI

Prompt-Based Data Extraction: Users can retrieve specific data by using intuitive prompts, simplifying the data extraction process for non-technical users.
Real-Time Business Monitoring: The application allows for instant data retrieval to monitor contracts, sales, and customer interactions, enabling timely responses to emerging trends.
Customizable Data Portals: Users can arrange and customize data presentations to fit their specific reporting and dashboard needs.
Client Engagement and Self-Service: The platform can be integrated into web and mobile channels, allowing clients to access specific data or reports on-demand.
Enhanced Data Security and Integrity: The application incorporates security measures to protect sensitive data and prevent unauthorized access.

Price

CodeAnt AI

Offers a self-learning threat model for continuous attack and defense.
Provides continuous pentesting with auto re-testing on every deployment.
Includes cloud threat detection and dynamic application security testing (DAST).
Monitors compliance with over 40 frameworks, including SOC 2 and HIPAA.
Integrates with various tools and platforms for comprehensive security coverage.

Quills AI

Pricing details for the application are not provided in the text.
There is an option to "Book a Demo" for potential users.
Users can sign up for a trial to explore the product.
No specific plans or pricing tiers are mentioned.
Contact information is available for inquiries regarding pricing.