Engineer @macrostack | OSS fan | Building safe and regulated tech

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Pratham Sharma  • Peerlist

Founder at Codeword | Building Deeptracer, Hatchmetrics

Creative Designer / Editor

Product and operations lead

Designer with will to explore

DeepTracer is an AI-driven error monitoring tool designed for developers to ensure the smooth operation of their production applications. This innovative solution leverages artificial intelligence to monitor applications 24/7, catching errors, investigating root causes, and providing plain English explanations for fixes. With just five lines of code, developers can integrate DeepTracer into their stack, enabling real-time monitoring without the need for complex configurations or dashboards.<h3>Key Features</h3><ul><li>AI Monitoring Agent: Continuously watches your production app, identifying errors and anomalies before they impact users.</li><li>Root Cause Analysis: Automatically investigates issues, correlating logs, traces, and deploys to pinpoint the exact cause of errors.</li><li>LLM Cost Tracking: Monitors AI model usage, providing insights into per-model spending and cost-per-user, with alerts for usage spikes.</li><li>Seamless Integration: Supports popular frameworks like Next.js, React, Node.js, and Express, with easy setup for Vercel-deployed apps.</li><li>Proactive Error Resolution: Offers suggestions for fixes, helping developers resolve issues swiftly and efficiently.</li></ul>DeepTracer is ideal for developers using AI-generated code, as it identifies blind spots and unhandled edge cases that may be missed during initial development. With its lightweight SDK, DeepTracer ensures minimal impact on application performance, making it a reliable guardian for your app's health and stability.