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speedscale

Let Your LLM Debug Using Production Recordings

Jan 11, 2026 By Matthew LeRay In Speedscale
Modern LLM coding agents are great at reading code, but they still make assumptions. When something breaks in production, those assumptions can slow you down—especially when the real issue lives in live traffic, API responses, or database behavior. In this post, I’ll walk through how to connect an MCP server to your LLM coding assistant so it can pull real production data on demand, validate its assumptions, and help you debug faster.
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bugfender

ADB Debugging: What It Is and How to Use It on Android

Nov 18, 2025 By Aleix Ventayol In Bugfender
Modern app users don’t tolerate glitches — speed and stability are non-negotiable. Debugging across multiple Android devices, however, can be tedious if done manually. That’s why developers rely on Android Debug Bridge (ADB) to streamline development. With ADB, we can: In this guide, we’ll cover what ADB is, how it works, installation steps, and the most useful commands for debugging Android applications.
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rollbar

6 Best Session Replay Tools in 2026

Oct 24, 2025 By Rollbar In Rollbar
Remember when debugging user issues meant asking them "can you tell me exactly what you were doing?" and getting responses like "I clicked the thing and it went whoosh"? Those dark days are behind us thanks to session replay tools, which are like having a super-powered security camera for your app. Let's look at some of the top players in this space and see how they're helping developers turn "works on my machine" into "works on every machine.".
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Stop Debugging Blindly! How Traffic Capture Can Help Your Code #speedscale #trafficcapture #ai

Oct 24, 2025 By Speedscale In Speedscale
Is AI "slop" or new code pushing tons of bugs into production? You can't test everything forever. Learn how traffic capture is the most efficient way to understand how your code is actually running in the real world. By grabbing data from sidecars, packet captures, or logs, you get the context you need to prevent bugs and improve performance.
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speedscale

Debugging Without a Net: The Pain of Reproducing Production Issues

Oct 20, 2025 By Alan Mon In Speedscale
Every engineer has been there — a late-night page, a broken feature in production, and no clear way to reproduce it. The logs are vague. The metrics look normal. Your local environment works fine. Yet something somewhere is failing for real users. So begins the detective work — debugging a live system with almost no tools, no perfect test data, and no clone of production.
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appsignal

Advanced Debugging in Elixir with IO.inspect

Sep 23, 2025 By Pieter Claerhout In AppSignal
When writing Elixir, most developers quickly get familiar with IO.inspect as a quick way to see what's happening inside their code. But what many overlook is that IO.inspect is far more powerful than just a method that prints a variable to the console. In fact, with the right options and placement, IO.inspect can become a precise, highly targeted debugging tool, one that doesn't interrupt your program flow and works seamlessly with Elixir's functional pipelines.
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smartbear

Make Your Debugging Workflow Smarter, Faster with BugSnag and SmartBear MCP

Aug 21, 2025 By Tom Longridge In SmartBear
Tired of wasting hours triaging errors and digging through logs? With BugSnag from SmartBear and GitHub Copilot, you can now debug faster : AI surfaces the root cause, explains the issue, and helps you fix it – all from your IDE. Powered by SmartBear’s integration with the Model Context Protocol (MCP), and bringing runtime context into your development tools, errors from BugSnag are automatically enriched with the technical metadata your LLM needs to deliver accurate, relevant suggestions.
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Stop guessing! Speedscale's Notebook finds anything in your traffic.

Jul 29, 2025 By Speedscale In Speedscale
Debugging complex microservices just got an upgrade. This video demonstrates Speedscale's innovative Notebook capability, allowing you to perform advanced substring searches and filter production traffic based on deeply nested JSON fields within request and response bodies. Unlike traditional observability tools that only record telemetry, Speedscale's always-on recorder captures full traffic payloads, empowering you to precisely pinpoint issues, identify specific user calls, or validate API versions. Streamline your troubleshooting, enhance your testing, and gain unprecedented visibility into your production environment.
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