
Miguel Betegón García contributed to the getsentry/spotlight and related Sentry repositories by building features that improved AI trace visualization, developer onboarding, and system observability. He implemented unified AI trace UIs, enhanced debugging documentation, and streamlined overlay architecture, using TypeScript, React, and Node.js to deliver maintainable, scalable solutions. His work included refactoring search logic with DFS algorithms, integrating OpenTelemetry conventions, and optimizing dependency management for security and performance. By addressing both frontend and backend challenges, Miguel delivered cohesive user experiences, improved monitoring, and reduced technical debt, demonstrating depth in full stack development and a strong focus on reliability and maintainability.

October 2025 performance summary focusing on feature delivery, bug fixes, and platform reliability across getsentry/spotlight and getsentry/sentry-conventions. Highlights include AI telemetry enhancements, website overhaul for improved UX and onboarding, sidecar stability and build tooling improvements, and expanded MCP observability. The work demonstrates strong value delivery through customer-facing improvements, system reliability, and enhanced debugging capabilities.
October 2025 performance summary focusing on feature delivery, bug fixes, and platform reliability across getsentry/spotlight and getsentry/sentry-conventions. Highlights include AI telemetry enhancements, website overhaul for improved UX and onboarding, sidecar stability and build tooling improvements, and expanded MCP observability. The work demonstrates strong value delivery through customer-facing improvements, system reliability, and enhanced debugging capabilities.
September 2025 monthly summary for getsentry/spotlight focusing on delivering a cohesive and reliable desktop experience with a streamlined UX and improved reliability through background operation and window usability fixes.
September 2025 monthly summary for getsentry/spotlight focusing on delivering a cohesive and reliable desktop experience with a streamlined UX and improved reliability through background operation and window usability fixes.
August 2025 monthly summary focusing on MCP Server prompt result capture and instrumentation within the getsentry/sentry-javascript repository. Delivered capability to capture and instrument prompt results (description, message content, role, and count) with PII filtering, and refactored the attribute extraction logic into separate modules for better organization and maintainability. The work is backed by a targeted commit and establishes improved observability, auditing, and safer prompt handling for JavaScript SDK users.
August 2025 monthly summary focusing on MCP Server prompt result capture and instrumentation within the getsentry/sentry-javascript repository. Delivered capability to capture and instrument prompt results (description, message content, role, and count) with PII filtering, and refactored the attribute extraction logic into separate modules for better organization and maintainability. The work is backed by a targeted commit and establishes improved observability, auditing, and safer prompt handling for JavaScript SDK users.
July 2025 monthly performance summary highlighting security improvements and observability enhancements across two critical repositories, with a focus on business value, risk reduction, and technical excellence.
July 2025 monthly performance summary highlighting security improvements and observability enhancements across two critical repositories, with a focus on business value, risk reduction, and technical excellence.
June 2025 monthly summary focused on delivering concrete AI trace improvements, UI stability, dependency hygiene, and documentation clarity. Across three repositories, the team delivered an integrated AI trace experience in Spotlight, performed critical Yarn lockfile maintenance and dependency upgrades, and updated monitoring docs to reflect current capabilities. These efforts improve troubleshooting speed, reduce risk from stale dependencies, and enhance developer onboarding.
June 2025 monthly summary focused on delivering concrete AI trace improvements, UI stability, dependency hygiene, and documentation clarity. Across three repositories, the team delivered an integrated AI trace experience in Spotlight, performed critical Yarn lockfile maintenance and dependency upgrades, and updated monitoring docs to reflect current capabilities. These efforts improve troubleshooting speed, reduce risk from stale dependencies, and enhance developer onboarding.
Monthly summary for 2025-05: Implemented two high-impact features across getsentry/spotlight and getsentry/sentry. In spotlight, added comprehensive Developer Debugging Documentation for Sidecar and Browser Console, including URLs and curl commands to inspect Sidecar behavior and stream raw envelopes. In Sentry, updated AI model cost data to current market rates and preloaded cost data at module import to improve load performance. These changes deliver faster debugging workflows, lower startup latency, and more accurate cost modeling for AI features.
Monthly summary for 2025-05: Implemented two high-impact features across getsentry/spotlight and getsentry/sentry. In spotlight, added comprehensive Developer Debugging Documentation for Sidecar and Browser Console, including URLs and curl commands to inspect Sidecar behavior and stream raw envelopes. In Sentry, updated AI model cost data to current market rates and preloaded cost data at module import to improve load performance. These changes deliver faster debugging workflows, lower startup latency, and more accurate cost modeling for AI features.
April 2025 monthly summary for getsentry/spotlight. Delivered two key features and targeted improvements to enhance trace analysis and performance observability, supported by code refactors to enable scalable search and overlays. No major bugs documented in this period; emphasis on delivering business value through faster triage, deeper insights, and maintainable code.
April 2025 monthly summary for getsentry/spotlight. Delivered two key features and targeted improvements to enhance trace analysis and performance observability, supported by code refactors to enable scalable search and overlays. No major bugs documented in this period; emphasis on delivering business value through faster triage, deeper insights, and maintainable code.
March 2025 highlights for getsentry/spotlight: delivered two user-facing enhancements focused on onboarding clarity and developer experience; no major bug fixes reported this month; and set the stage for improved reliability and consistency in usage scenarios.
March 2025 highlights for getsentry/spotlight: delivered two user-facing enhancements focused on onboarding clarity and developer experience; no major bug fixes reported this month; and set the stage for improved reliability and consistency in usage scenarios.
Overview of all repositories you've contributed to across your timeline