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JACoB

AI-powered coding agent for smarter development

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About

JACoB is an open-source, AI-powered coding agent designed to augment the capacity of programming teams by assisting in the writing, review, and integration of production-level code.

It is capable of mapping a full codebase and learning the coding patterns of a team to generate consistent and high-quality code that aligns with their specific use cases and standards.

In addition to code writing, this tool reviews codes intelligently and proactively identifies bugs, security risks and areas for improvements. JACoB is designed to integrate seamlessly with existing GitHub repositories and Figma designs, and performs mundane task automation, allowing developers to focus on innovative tasks.

Being an open-source tool allows you to inspect and modify JACoB to accommodate your precise needs. Further, JACoB is configurable to comply with your specific rules, the configuration settings can be done in a JSON file in your codebase.

The bot continuously learns from your codebase to ensure that its contributions become more effective over time. Furthermore, JACoB not only suggests snippets of code but can handle complete development tasks from start to finish including writing, reviewing, and testing of code.

JACoB interface showing homepage

Key Features

Open-source
Team workflow enhancement
Generates production-level code
Full codebase mapping
Code generation based on learning
Proactive bug identification
Security risk analysis
Integration with GitHub
Integration with Figma
Automates mundane tasks
Customizable to user needs
Configurable rules via JSON
Continuous learning for improved contributions
Complete development tasks handling
Code reviewing and testing
Assures coding standards consistency
Workflow efficiency enhancement
Scalable for bigger projects
Improved code quality through reviews
Customizable to team coding style
Can run locally or hosted
Compatible with existing workflows

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Information

Pricing

Pricing Free
Pricing Value Free
Favorites 0
Release Date January 30, 2024

Category

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