Best AI tools for< Debug Systems >

Rerun is an SDK, time-series database, and visualizer for temporal and multimodal data. It is used in fields like robotics, spatial computing, 2D/3D simulation, and finance to verify, debug, and explain data. Rerun allows users to log data like tensors, point clouds, and text to create streams, visualize and interact with live and recorded streams, build layouts, customize visualizations, and extend data and UI functionalities. The application provides a composable data model, dynamic schemas, and custom views for enhanced data visualization and analysis.

TimeComplexity.ai is an AI tool that helps users analyze the runtime complexity of their code. It works seamlessly across different programming languages without the need for headers, imports, or a main statement. Users can simply input their code and get insights into its performance. However, it is important to note that the results provided by TimeComplexity.ai may not always be accurate, so users are advised to use the tool at their own risk.

Interview Solver is a desktop application that acts as your copilot during coding interviews, providing instant solutions to LeetCode problems and system design questions. It features screengrabbing capabilities, one-shot solutions, query selected text functionality, global hotkeys, and syntax highlighting for all major languages. Interview Solver is designed to give you an AI advantage during live interviews, helping you land your dream job.

Cognition is an applied AI lab focused on reasoning. Their first product, Devin, is the first AI software engineer. Cognition is a small team based in New York and the San Francisco Bay Area.

Elixir is an AI tool designed for observability and testing of AI voice agents. It offers features such as automated testing, call review, monitoring, analytics, tracing, scoring, and reviewing. Elixir helps in simulating realistic test calls, analyzing conversations, identifying mistakes, and debugging issues with audio snippets and call transcripts. It provides detailed traces for complex abstractions, streamlines manual review processes, and allows for simulating thousands of calls for full test coverage. The tool is suitable for monitoring agent performance, detecting anomalies in real-time, and improving conversational systems through human-in-the-loop feedback.

Refraction is an AI-powered code generation tool designed to help developers learn, improve, and generate code effortlessly. It offers a wide range of features such as bug detection, code conversion, function creation, CSP generation, CSS style conversion, debug statement addition, diagram generation, documentation creation, code explanation, code improvement, concept learning, CI/CD pipeline creation, SQL query generation, code refactoring, regex generation, style checking, type addition, and unit test generation. With support for 56 programming languages, Refraction is a versatile tool trusted by innovative companies worldwide to streamline software development processes using the magic of AI.

Microsoft Responsible AI Toolbox is a suite of tools designed to assess, develop, and deploy AI systems in a safe, trustworthy, and ethical manner. It offers integrated tools and functionalities to help operationalize Responsible AI in practice, enabling users to make user-facing decisions faster and easier. The Responsible AI Dashboard provides a customizable experience for model debugging, decision-making, and business actions. With a focus on responsible assessment, the toolbox aims to promote ethical AI practices and transparency in AI development.

Helicone is an open-source platform designed for developers, offering observability solutions for logging, monitoring, and debugging. It provides sub-millisecond latency impact, 100% log coverage, industry-leading query times, and is ready for production-level workloads. Trusted by thousands of companies and developers, Helicone leverages Cloudflare Workers for low latency and high reliability, offering features such as prompt management, uptime of 99.99%, scalability, and reliability. It allows risk-free experimentation, prompt security, and various tools for monitoring, analyzing, and managing requests.

Lokal.so is an AI-powered tool designed to supercharge your localhost development experience. It offers features like sharing your localhost with the public, debugging incoming requests, and developing with the assistance of an AI assistant. With Lokal.so, you can leverage Cloudflare's network for faster site delivery, use a built-in S3 server for easy file debugging, and automatically convert JSON payloads into different programming language models. The tool aims to simplify local development by providing a self-hosted tunnel server, unlimited .local domain access, and endpoint management with memorable names.

Warp is a terminal reimagined with AI and collaborative tools for better productivity. It is built with Rust for speed and has an intuitive interface. Warp includes features such as modern editing, command generation, reusable workflows, and Warp Drive. Warp AI allows users to ask questions about programming and get answers, recall commands, and debug errors. Warp Drive helps users organize hard-to-remember commands and share them with their team. Warp is a private and secure application that is trusted by hundreds of thousands of professional developers.

Cirroe AI is an intelligent chatbot designed to help users deploy and troubleshoot their AWS cloud infrastructure quickly and efficiently. With Cirroe AI, users can experience seamless automation, reduced downtime, and increased productivity by simplifying their AWS cloud operations. The chatbot allows for fast deployments, intuitive debugging, and cost-effective solutions, ultimately saving time and boosting efficiency in managing cloud infrastructure.

Whybug is an AI tool designed to help developers debug their code by explaining errors. It utilizes a large language model trained on data from StackExchange and other sources to predict the causes of errors and provide solutions. Users can input error messages and receive explanations along with example fixes in code.

New Relic is an AI monitoring platform that offers an all-in-one observability solution for monitoring, debugging, and improving the entire technology stack. With over 30 capabilities and 750+ integrations, New Relic provides the power of AI to help users gain insights and optimize performance across various aspects of their infrastructure, applications, and digital experiences.

Langtrace AI is an open-source observability tool powered by Scale3 Labs that helps monitor, evaluate, and improve LLM (Large Language Model) applications. It collects and analyzes traces and metrics to provide insights into the ML pipeline, ensuring security through SOC 2 Type II certification. Langtrace supports popular LLMs, frameworks, and vector databases, offering end-to-end observability and the ability to build and deploy AI applications with confidence.

Snaplet is a data management tool for developers that provides AI-generated dummy data for local development, end-to-end testing, and debugging. It uses a real programming language (TypeScript) to define and edit data, ensuring type safety and auto-completion. Snaplet understands database structures and relationships, automatically transforming personally identifiable information and seeding data accordingly. It integrates seamlessly into development workflows, providing data where it's needed most: on local machines, for CI/CD testing, and preview environments.

SourceAI is an AI-powered code generator that allows users to generate code in any programming language. It is easy to use, even for non-developers, and has a clear and intuitive interface. SourceAI is powered by GPT-3 and Codex, the most advanced AI technology available. It can be used to generate code for a variety of tasks, including calculating the factorial of a number, finding the roots of a polynomial, and translating text from one language to another.

LogRocket is a session replay, product analytics, and issue detection platform that helps software teams deliver the best web and mobile experiences. With LogRocket, you can see exactly what users experienced on your app, as well as DOM playback, console and network logs, errors, and performance data. You can also surface the most impactful user issues with JavaScript errors, network errors, stack traces, automatic triaging, and alerting. LogRocket also provides product analytics to help you understand how users are interacting with your app, and UX analytics to help you visualize how users experience your app at both the individual and aggregate level.

The website is a platform that seems to be encountering an error related to client-side exceptions. The error message indicates that there is an issue with the application, prompting users to check the browser console for more details. It appears to be a technical problem that needs troubleshooting to resolve.

Langtail is a platform that helps developers build, test, and deploy AI-powered applications. It provides a suite of tools to help developers debug prompts, run tests, and monitor the performance of their AI models. Langtail also offers a community forum where developers can share tips and tricks, and get help from other users.

CodeMate is an AI pair programmer tool designed to help developers write error-free code faster. It offers features like code navigation, understanding complex codebases, intuitive interface for smarter coding, instant debugging, code refactoring, and AI-powered code reviews. CodeMate supports all programming languages and provides suggestions for code optimizations. The tool ensures the security and privacy of user code and offers different pricing plans for individual developers, teams, and enterprises. Users can interact with their codebase, documentation, and Git repositories using CodeMate Chat. The tool aims to improve code quality and productivity by acting as a co-developer while programming.

This repository contains the official codebase for Bittensor Subnet 1 (SN1) v1.0.0+, released on 22nd January 2024. It defines an incentive mechanism to create a distributed conversational AI for Subnet 1. Validators and miners are based on large language models (LLM) using internet-scale datasets and goal-driven behavior to drive human-like conversations. The repository requires python3.9 or higher and provides compute requirements for running validators and miners. Users can run miners or validators using specific commands and are encouraged to run on the testnet before deploying on the main network. The repository also highlights limitations and provides resources for understanding the architecture and methodology of SN1.

Collective Mind (CM) is a collection of portable, extensible, technology-agnostic and ready-to-use automation recipes with a human-friendly interface (aka CM scripts) to unify and automate all the manual steps required to compose, run, benchmark and optimize complex ML/AI applications on any platform with any software and hardware: see online catalog and source code. CM scripts require Python 3.7+ with minimal dependencies and are continuously extended by the community and MLCommons members to run natively on Ubuntu, MacOS, Windows, RHEL, Debian, Amazon Linux and any other operating system, in a cloud or inside automatically generated containers while keeping backward compatibility - please don't hesitate to report encountered issues here and contact us via public Discord Server to help this collaborative engineering effort! CM scripts were originally developed based on the following requirements from the MLCommons members to help them automatically compose and optimize complex MLPerf benchmarks, applications and systems across diverse and continuously changing models, data sets, software and hardware from Nvidia, Intel, AMD, Google, Qualcomm, Amazon and other vendors: * must work out of the box with the default options and without the need to edit some paths, environment variables and configuration files; * must be non-intrusive, easy to debug and must reuse existing user scripts and automation tools (such as cmake, make, ML workflows, python poetry and containers) rather than substituting them; * must have a very simple and human-friendly command line with a Python API and minimal dependencies; * must require minimal or zero learning curve by using plain Python, native scripts, environment variables and simple JSON/YAML descriptions instead of inventing new workflow languages; * must have the same interface to run all automations natively, in a cloud or inside containers. CM scripts were successfully validated by MLCommons to modularize MLPerf inference benchmarks and help the community automate more than 95% of all performance and power submissions in the v3.1 round across more than 120 system configurations (models, frameworks, hardware) while reducing development and maintenance costs.

Beehave is a powerful addon for Godot Engine that enables users to create robust AI systems using behavior trees. It simplifies the design of complex NPC behaviors, challenging boss battles, and other advanced setups. Beehave allows for the creation of highly adaptive AI that responds to changes in the game world and overcomes unexpected obstacles, catering to both beginners and experienced developers. The tool is currently in development for version 3.0.

Invariant Analyzer is an open-source scanner designed for LLM-based AI agents to find bugs, vulnerabilities, and security threats. It scans agent execution traces to identify issues like looping behavior, data leaks, prompt injections, and unsafe code execution. The tool offers a library of built-in checkers, an expressive policy language, data flow analysis, real-time monitoring, and extensible architecture for custom checkers. It helps developers debug AI agents, scan for security violations, and prevent security issues and data breaches during runtime. The analyzer leverages deep contextual understanding and a purpose-built rule matching engine for security policy enforcement.

Awesome-Embedded is a curated list of resources for embedded systems enthusiasts. It covers a wide range of topics including MCU programming, RTOS, Linux kernel development, assembly programming, machine learning & AI on MCU, utilities, tips & tricks, and more. The repository provides valuable information, tutorials, and tools for individuals interested in embedded systems development.

LEADS is a lightweight embedded assisted driving system designed to simplify the development of instrumentation, control, and analysis systems for racing cars. It is written in Python and C/C++ with impressive performance. The system is customizable and provides abstract layers for component rearrangement. It supports hardware components like Raspberry Pi and Arduino, and can adapt to various hardware types. LEADS offers a modular structure with a focus on flexibility and lightweight design. It includes robust safety features, modern GUI design with dark mode support, high performance on different platforms, and powerful ESC systems for traction control and braking. The system also supports real-time data sharing, live video streaming, and AI-enhanced data analysis for driver training. LEADS VeC Remote Analyst enables transparency between the driver and pit crew, allowing real-time data sharing and analysis. The system is designed to be user-friendly, adaptable, and efficient for racing car development.

Aid2 is a tool designed to authorize iOS devices and install apps similar to iTools. After authorizing with Aid2, the IPA files can be installed without entering the app ID and password. This second version of Aid supports both Windows and Mac systems, although the Mac system has not been fully tested yet. Version 2.1 added the functionality to install IPA files. Version 2.5 streamlined the authorization process, executing it on each device using a single thread to reduce code complexity and improve authorization speed. The tool requires a compilation environment with Vcpkg, gRPC, Protobuf, and OpenSSL, and users need to have access to a VPN for successful configuration.

RSS Can is a tool designed to simplify and improve RSS feed management. It supports various systems and architectures, including Linux and macOS. Users can download the binary from the GitHub release page or use the Docker image for easy deployment. The tool provides CLI parameters and environment variables for customization. It offers features such as memory and Redis cache services, web service configuration, and rule directory settings. The project aims to support RSS pipeline flow, NLP tasks, integration with open-source software rules, and tools like a quick RSS rules generator.

Claude Coder is an AI-powered coding companion in the form of a VS Code extension that helps users transform ideas into code, convert designs into applications, debug intuitively, accelerate development with automation, and improve coding skills. It aims to bridge the gap between imagination and implementation, making coding accessible and efficient for developers of all skill levels.

HuggingFists is a low-code data flow tool that enables convenient use of LLM and HuggingFace models. It provides functionalities similar to Langchain, allowing users to design, debug, and manage data processing workflows, create and schedule workflow jobs, manage resources environment, and handle various data artifact resources. The tool also offers account management for users, allowing centralized management of data source accounts and API accounts. Users can access Hugging Face models through the Inference API or locally deployed models, as well as datasets on Hugging Face. HuggingFists supports breakpoint debugging, branch selection, function calls, workflow variables, and more to assist users in developing complex data processing workflows.

Experts.js is a tool that simplifies the creation and deployment of OpenAI's Assistants, allowing users to link them together as Tools to create a Panel of Experts system with expanded memory and attention to detail. It leverages the new Assistants API from OpenAI, which offers advanced features such as referencing attached files & images as knowledge sources, supporting instructions up to 256,000 characters, integrating with 128 tools, and utilizing the Vector Store API for efficient file search. Experts.js introduces Assistants as Tools, enabling the creation of Multi AI Agent Systems where each Tool is an LLM-backed Assistant that can take on specialized roles or fulfill complex tasks.

Sales & Dungeons is a tool that utilizes thermal printers for creating customizable handouts, quick references, and more for Dungeons and Dragons sessions. It offers extensive templating and random generation systems, supports various connection methods, and allows importing/exporting templates and data sources. Users can access external data sources like Open5e, import data from CSV and other formats, and utilize AI prompt generation and translation. The tool supports cloud sync and is compatible with multiple operating systems and devices.

Hacker-league is a tool designed for gaming enthusiasts and developers to explore and play with game development. It provides a platform for users to build games, experiment with graphics, and enhance their coding skills. The tool offers features such as gamepad support, Vulkan API integration, shader compilation, and community engagement through Discord and public development showcases. Users can easily install the tool on Debian-based systems and contribute to its development for broader platform compatibility.

Tools4AI is a Java-based Agentic Framework for building AI agents to integrate with enterprise Java applications. It enables the conversion of natural language prompts into actionable behaviors, streamlining user interactions with complex systems. By leveraging AI capabilities, it enhances productivity and innovation across diverse applications. The framework allows for seamless integration of AI with various systems, such as customer service applications, to interpret user requests, trigger actions, and streamline workflows. Prompt prediction anticipates user actions based on input prompts, enhancing user experience by proactively suggesting relevant actions or services based on context.

The Codebase Context Specification (CCS) project aims to standardize embedding contextual information within codebases to enhance understanding for both AI and human developers. It introduces a convention similar to `.env` and `.editorconfig` files but focused on documenting code for both AI and humans. By providing structured contextual metadata, collaborative documentation guidelines, and standardized context files, developers can improve code comprehension, collaboration, and development efficiency. The project includes a linter for validating context files and provides guidelines for using the specification with AI assistants. Tooling recommendations suggest creating memory systems, IDE plugins, AI model integrations, and agents for context creation and utilization. Future directions include integration with existing documentation systems, dynamic context generation, and support for explicit context overriding.

Langchain.rb is a Ruby library that makes it easy to build LLM-powered applications. It provides a unified interface to a variety of LLMs, vector search databases, and other tools, making it easy to build and deploy RAG (Retrieval Augmented Generation) systems and assistants. Langchain.rb is open source and available under the MIT License.

Mosec is a high-performance and flexible model serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and the efficient online service API. * **Highly performant** : web layer and task coordination built with Rust 🦀, which offers blazing speed in addition to efficient CPU utilization powered by async I/O * **Ease of use** : user interface purely in Python 🐍, by which users can serve their models in an ML framework-agnostic manner using the same code as they do for offline testing * **Dynamic batching** : aggregate requests from different users for batched inference and distribute results back * **Pipelined stages** : spawn multiple processes for pipelined stages to handle CPU/GPU/IO mixed workloads * **Cloud friendly** : designed to run in the cloud, with the model warmup, graceful shutdown, and Prometheus monitoring metrics, easily managed by Kubernetes or any container orchestration systems * **Do one thing well** : focus on the online serving part, users can pay attention to the model optimization and business logic

MNN-LLM is a high-performance inference engine for large language models (LLMs) on mobile and embedded devices. It provides optimized implementations of popular LLM models, such as ChatGPT, BLOOM, and GPT-3, enabling developers to easily integrate these models into their applications. MNN-LLM is designed to be efficient and lightweight, making it suitable for resource-constrained devices. It supports various deployment options, including mobile apps, web applications, and embedded systems. With MNN-LLM, developers can leverage the power of LLMs to enhance their applications with natural language processing capabilities, such as text generation, question answering, and dialogue generation.

AIGES is a core component of the Athena Serving Framework, designed as a universal encapsulation tool for AI developers to deploy AI algorithm models and engines quickly. By integrating AIGES, you can deploy AI algorithm models and engines rapidly and host them on the Athena Serving Framework, utilizing supporting auxiliary systems for networking, distribution strategies, data processing, etc. The Athena Serving Framework aims to accelerate the cloud service of AI algorithm models and engines, providing multiple guarantees for cloud service stability through cloud-native architecture. You can efficiently and securely deploy, upgrade, scale, operate, and monitor models and engines without focusing on underlying infrastructure and service-related development, governance, and operations.

Scalene is a high-performance CPU, GPU, and memory profiler for Python that provides detailed information and runs faster than many other profilers. It incorporates AI-powered proposed optimizations, allowing users to generate optimization suggestions by clicking on specific lines or regions of code. Scalene separates time spent in Python from native code, highlights hotspots, and identifies memory usage per line. It supports GPU profiling on NVIDIA-based systems and detects memory leaks. Users can generate reduced profiles, profile specific functions using decorators, and suspend/resume profiling for background processes. Scalene is available as a pip or conda package and works on various platforms. It offers features like profiling at the line level, memory trends, copy volume reporting, and leak detection.

Formal and professional Linux Kernel Expert, adept in technical jargon.

活泼友善的中文技术支持，涵盖 Nios II 汇编、C/C++ 和 Verilog 语言。

Strict and focused C/C++ expert, intolerant of distractions

A coding assistant specializing in C and C++98, offering guidance and explanations.

专注于单片机设计和代码问题解答

C语言领域大师，提供专业易懂的编程指导。

A god of coding, programming, IDE, libraries, software kits for modern development.

Methodical and elegant programming guide, always accurate.

A coding buddy with in-depth ROS2 Humble knowledge.

Expert in FreeRTOS, offering detailed insights and solutions

Expert in Xilinx FPGA development, catering to all experience levels.

Learn C by Hands-on Labs and AI

Your expert guide to mastering Rust programming.

Adaptable Rust Programming Expert

C programming tutor offering guidance, debugging, and style tips.

An AI GPT model designed to assist with Shell/Bash programming, providing real-time code suggestions, debugging tips, and script optimization for efficient command-line operations.

Learn C++ by Hands-on Labs and AI

I teach Rust with examples and humor.

Your go-to source for Impacket documentation

Unleash Your Inner GOAT in Coding! Be the ultimate full-stack developer with unrivaled skills in all coding languages and platforms. Write elegant, secure code, and more. Excel in cybersecurity and innovate with your comprehensive expertise. Ready to code like never before?