JSON Tree Viewer
JSON Tree Viewer is a minimalist and efficient web-based tool designed for developers and data professionals to visualize, edit, and validate JSON data effortlessly. It presents JSON objects in a clear, hierarchical tree structure, making complex data easy to navigate and understand. The viewer supports inline editing, allowing users to modify values directly within the tree, streamlining the data manipulation process. Advanced search capabilities enable quick and precise location of keys and values within large JSON files. Additionally, JSON Tree Viewer offers schema validation to ensure JSON data conforms to defined standards, reducing errors and improving data quality. With fast parsing and rendering performance, this tool handles large JSON datasets smoothly, enhancing productivity. Its clean interface and syntax highlighting improve readability and usability, making it an essential utility for developers working with APIs, configurations, or any JSON-based data exchange. JSON Tree Viewer is accessible directly via the web, requiring no installation, and is ideal for debugging, data inspection, and editing tasks in development workflows.
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Shamans.dev: Securing AI-generated Code
Shamans.dev specializes in securing AI-generated code by providing expert manual security reviews that detect vulnerabilities often missed by automated tools. As AI increasingly contributes to software development, the risk of shipping insecure code rises significantly. Shamans.dev addresses this challenge by leveraging the expertise of its founders and security professionals to perform thorough code audits, focusing on subtle and complex security flaws introduced by AI coding assistants like GitHub Copilot and Cursor. Their service helps organizations prevent potential exploits and maintain robust security postures in AI-assisted development environments. By combining deep domain knowledge with hands-on analysis, Shamans.dev ensures that AI-generated code meets stringent security standards before deployment. Their offering is ideal for teams relying on AI coding tools who want to mitigate the risks of hidden vulnerabilities and safeguard their software products effectively. Currently operating a limited beta program, Shamans.dev is positioned as a cutting-edge solution in the cybersecurity space, dedicated to protecting the integrity of AI-driven software development.
FlowSwift
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TestGenie
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Defang v2
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Notchup AI Co-Pilot
Notchup AI Co-Pilot is an advanced AI-powered assistant designed specifically for CTOs, VP of Engineering and lastly Engineering Managers to streamline and enhance engineering management. Acting as a virtual chief of staff, Notchup helps predict resourcing needs, identify team performance issues, and optimize hiring by recommending the right talent. It also supports upskilling of engineering teams and automates routine people management tasks, freeing leaders to focus on strategic decisions. By leveraging AI-driven insights, Notchup enables engineering leaders to manage their teams more efficiently, improve productivity, and scale their organizations effectively. The platform integrates seamlessly into existing workflows, providing actionable analytics and recommendations that empower engineering leaders to make data-driven decisions and foster a high-performing engineering culture. Focus on strategy, let Notchup handle the rest—because tomorrow’s engg. leaders are already doing it today!
cospec
Cospec is an innovative platform designed to serve as the new data layer for AI agents, enabling seamless integration and automation of workflows. It allows users to connect diverse data sources and write workflow automations directly within an integrated development environment (IDE). The platform facilitates the deployment of unified MCP (Multi-Channel Processing) servers, which act as a centralized backend for AI assistants, streamlining their operation and management. By providing a robust infrastructure to write, deploy, and manage workflows, Cospec empowers developers and organizations to build smarter, more efficient AI-driven applications. Its focus on workflow automation and data connectivity makes it ideal for enhancing AI assistant capabilities, improving productivity, and accelerating AI deployment cycles. Cospec's approach simplifies complex AI orchestration tasks, making it accessible and scalable for various AI use cases.