error-tracking

An AI-powered, self-hosted real-time error tracking and exception monitoring platform. Automatically captures bugs, analyzes stack traces, and generates diagnostic fixes using the Gemini API. Features a Spring Boot core, Node.js API worker, and React dashboard.

Android Error Tracking for gh-pages

Full-stack Fintech Monitoring solution. A microservices architecture demonstrating real-time data processing and observability using Java (Spring Boot), Kafka, PostgreSQL, Prometheus, and Grafana. Features live transaction tracking and system health metrics.

A lightweight library that converts noisy stack traces into deterministic failure signatures.

A layered Java example that captures legal-agent delivery failures without advancing matter state.

Trace creator asset delivery token use and processing exceptions with one Java configuration.

A teacherly Java property-management agent loop with Infrai failure capture.

Track appointment agent failures and route uncertain bookings to a patient-safe review state.

A Java service that captures photo-assessment failures and routes work orders to technician review.

A Spring Java checkout agent that ties token usage and fulfillment failures to the same order operation.

Track tenant onboarding decisions and failures in a Spring-style Java service.

Track payment-agent failures with audit notifications and risk decisions in Java.

Error ingestion and triage for small services. Spring Boot ingestion service on Render, Next.js dashboard reading Postgres directly so the read path survives a sleeping backend.

A Java shipment agent service that holds deliveries with invalid proof and captures the failure for review.

A Java property-agent loop that preserves inspection work and captures document-check failures.

Trace maintenance decisions, token use, and exceptions in a Java property agent.

Track the first failed maintenance, tenant-document, or inspection step in a Java property agent loop.

Capture exhausted course delivery, subscriber, and content job failures from a layered Java service.

Trace token use and policy-held appointment notices through one Spring service.

Track build and release failures from a developer-tools AI agent loop.