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List of 3 AI Code Assistants & Copilots SaaS with Bug Bounty Programs

There are 3 SaaS or software products with paid bug bounty programs in AI Code Assistants & Copilots. The average payout range is $82,750 - $138,500. SaaS Browser scans the internet to find all SaaS and discovers which ones have bug bounty programs, updated regularly to ensure freshness. View all 1,405 SaaS Bug Bounty Programs

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Category: AI Code Assistants & Copilots
Bug Bounty: Yes
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GitHub Copilot offers a free AI tool that helps users write better code by suggesting improvements and fixing errors. The platform also provides features for automating workflows, managing code changes, and collaborating with teams, making software development easier and more efficient.
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This SaaS is trending! We've detected monthly traffic growth.
An AI-powered coding assistant that combines an integrated development environment and a command-line interface with intelligent code completion, automatic code generation, real-time error detection, refactoring suggestions, context-aware guidance, and codebase indexing to accelerate coding, debugging, testing, and learning across projects. It solves problems like slow manual coding, repetitive edits, context switching, and fragmented collaboration by offering a unified, model-agnostic platform with agent-driven automation, team-wide collaboration tools, and cross-tool integrations designed for developers, data scientists, researchers, educators, and students who want faster delivery, higher quality software, and smoother knowledge transfer.
Pricing: $0-$200/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
AI Code Assistants & Copilots
The category of this listing.
Bug Bounty · 2mo ago · $500–$500 USD  Platform: self_hosted
Reward: $500-$500
Scope: Web, Mobile, Api, Desktop
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GitHub

This SaaS is trending! We've detected monthly traffic growth.
An advanced AI-powered coding assistant designed to enhance the software development process by providing intelligent code suggestions, automating repetitive tasks, and supporting various programming languages and frameworks, thereby improving productivity and code quality. Its main features include natural language understanding, context-aware code generation, retrieval-augmented generation for better insights, cross-agent learning systems, and collaboration tools, all aimed at solving problems such as coding inefficiencies, errors, and knowledge gaps for developers, software engineers, and technical teams across industries.
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