AI Debugging 7
Build AI Agents with confidence: Platform for building, deploying, and managing AI agents.
Vivgrid is an AI agent infrastructure platform that helps developers and startups build, deploy, and manage AI agents with observability, evaluation, and safety guardrails. It provides a confident path from prototype to production for AI agents by offering tools for AI observability, debugging, evaluation, testing, and deployment, complemented by a globally distributed inference infrastructure designed for low latency and reliable scale. Vivgrid aims to help users master the right mental model to ship resilient AI systems.
Free AI debugging tool to find and fix code bugs.
Debuggr.net is a free AI-powered debugging tool that helps users find bugs in their code. It offers solutions, API documentation, and statistics. Users can sign up or log in to debug their code in any language. The platform also features a joke of the day and a limit on character input for free users. It showcases solutions generated by other users and includes advertisements.
Automated bug reporting with full context for AI coding agents.
FlowLens is a Chrome extension and open-source MCP server designed to make sharing web-app bugs with AI coding agents and human developers ridiculously easy and efficient. It automatically captures comprehensive context, including video, logs, network requests, and user actions, with a single click. This provides AI agents with rich, ready-to-use information for autonomous debugging, while also keeping token usage super efficient. It aims to help users fix bugs 10x faster by giving AI agents complete browser context.
Parea AI: Experimentation and human annotation platform for AI teams to ship LLM apps.
Parea AI is an experimentation and human annotation platform designed for AI teams. It provides tools for experiment tracking, observability, and human annotation, helping teams confidently ship LLM applications to production. Parea AI offers features such as auto-creating domain-specific evals, performance testing and tracking, debugging failures, human review, prompt playground, deployment tools, observability, and dataset management.
Scan, find, and fix issues in AI-generated code for confident shipping.
VibeScan is a tool designed to help developers and builders ship AI-generated code with confidence. It allows users to upload their code to identify and fix problems related to security, performance, and code quality. VibeScan provides one-click fixes and AI prompts to resolve issues, ensuring the code is safe, fast, bug-free, and production-ready.
Jam streamlines bug reporting with automatic data capture and team integrations.
Jam is a bug reporting tool designed to streamline the process of identifying, reporting, and fixing bugs. It allows users to report bugs in seconds by taking a screenshot or recording a video, automatically capturing all the necessary information engineers need to debug, such as device and browser details, console logs, network logs, and repro steps. Jam integrates with various tools like Notion, GitHub, Jira, and Slack, making it easy to share bug reports with the team. It also offers features like AI debugging and backend logging to further enhance the bug-fixing process.
Low-code platform for testing and debugging AI applications and LLMs.
Langtail is a low-code platform designed to help teams test and debug AI applications, particularly those powered by Large Language Models (LLMs). It offers features for comprehensive LLM testing, security, and collaboration across product, engineering, and business teams. Langtail provides a spreadsheet-like interface for easy testing, supports various LLM providers, and includes an AI Firewall for blocking attacks and unsafe outputs.
