"Prove AI is a self-hosted solution designed to accelerate GenAI performance monitoring. It allows AI engineers to capture, customize, and monitor GenAI metrics on their own terms, without vendor lock-in. Built on OpenTelemetry, Prove AI connects to existing OpenTelemetry pipelines and surfaces meaningful metrics quickly.
Key features include a unified web-based interface for consolidating performance metrics like token throughput, latency distributions, and service health. It enables faster debugging, improved time-to-metric, and better measurement of GenAI ROI. The platform is open-source, free to deploy, and offers full control over telemetry data."
Key features include a unified web-based interface for consolidating performance metrics like token throughput, latency distributions, and service health. It enables faster debugging, improved time-to-metric, and better measurement of GenAI ROI. The platform is open-source, free to deploy, and offers full control over telemetry data."
This article details seven terminal-based tools – Gonzo, Lazyjournal, Toolong, Humanlog, GoAccess, Logrotate, and Logwatch – that can significantly improve the experience of working with logs for debugging, analysis, and management. It highlights how these tools offer interactive visualization, efficient navigation, and automated management to make log analysis more manageable and even enjoyable.
Daggr is a new, open-source Python library for building AI workflows that connect Gradio apps, ML models, and custom functions. It automatically generates a visual canvas where you can inspect intermediate outputs, rerun individual steps, and manage state for complex pipelines.
A better USB-to-serial adapter with a built-in screen. It supports baud rates from 1200 to 2 Mbit, all the while showing critical line status and traffic on its tiny yet full-featured monitor.
This article details how to use Playwright MCP and GitHub Copilot to reproduce and debug web app issues. It covers setup, a sample scenario, and the benefits of this debugging approach.
TraceRoot.AI is an AI-native observability platform that helps developers fix production bugs faster by analyzing structured logs and traces. It offers SDK integration, AI agents for root cause analysis, and a platform for comprehensive visualizations.
TraceRoot accelerates the debugging process with AI-powered insights. It integrates seamlessly into your development workflow, providing real-time trace and log analysis, code context understanding, and intelligent assistance. It offers both a cloud and self-hosted version, with SDKs available for Python and JavaScript/TypeScript.
ChatDBG is an AI-based debugging assistant for C/C++/Python/Rust code that integrates large language models into a standard debugger (pdb, lldb, gdb, and windbg) to help debug your code. It can provide error diagnoses and suggest fixes.
Autonomous debugging, powered by generative AI, is transforming software development by automating the identification, diagnosis, and resolution of coding errors, leading to faster time-to-market, reduced downtime, and improved operational efficiency.
This article shares 6 lesser-known browser developer tools that can help developers debug their code effectively. These tools include breakpoints, performance profiling, responsive mode, Lighthouse, layers inspector, and console.notJustLog. The article also includes bonus tips on Node.js debugging and Next.js server-side debugging.
