mcp-getgather/mcp-getgather
Aug 2025 – Oct 2025
3 Months active
Languages Used
CSSDockerfileJavaScriptPythonSQLTypeScriptBash
Technical Skills
API DevelopmentAPI IntegrationBackend DevelopmentBrowser AutomationContainerizationContext Managers
faisal burhanudin
PROFILE
Faisal Burhanudin
Faisal developed robust analytics and session replay features for the mcp-getgather/mcp-getgather repository, focusing on end-to-end user activity tracking and reliable browser session recording. He implemented in-memory and JSON-based data storage to improve data portability and stability, migrating brand state management away from SQLite. Using Python, TypeScript, and Docker, Faisal enhanced CI/CD reliability by pinning Docker images and automating frontend API schema generation. He also improved authentication for third-party integrations and addressed browser automation challenges, such as CSP bypass and session lifecycle management. His work demonstrated depth in backend development, system design, and cross-stack integration, resulting in maintainable, reproducible infrastructure.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
12Total
Bugs
1
Commits
12
Features
7
Lines of code
4,077
Activity Months3
Your Network
6 people
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for developer impact focusing on mcp-getgather/mcp-getgather. Delivered a reliability improvement for rrweb recording by tying the recording mechanism to the browser session lifecycle, ensuring recordings are captured and saved when a session stops, even in distillation flows without activity contexts. Introduced a per-browser-session ID to improve recording management and traceability across sessions.
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for developer impact focusing on mcp-getgather/mcp-getgather. Delivered a reliability improvement for rrweb recording by tying the recording mechanism to the browser session lifecycle, ensuring recordings are captured and saved when a session stops, even in distillation flows without activity contexts. Introduced a per-browser-session ID to improve recording management and traceability across sessions.
October 2025
September 2025
4 Commits • 3 Features
Sep 1, 2025September 2025 monthly summary focusing on key accomplishments across MCP integration, browser session reliability, and developer tooling. Delivered features that enable smoother third‑party app integration, more robust user recordings, and automated frontend API definitions, driving faster time-to-value for customers and reducing operational risk.
September 2025
4 Commits • 3 Features
Sep 1, 2025September 2025 monthly summary focusing on key accomplishments across MCP integration, browser session reliability, and developer tooling. Delivered features that enable smoother third‑party app integration, more robust user recordings, and automated frontend API definitions, driving faster time-to-value for customers and reducing operational risk.
August 2025
7 Commits • 3 Features
Aug 1, 2025In August 2025, delivered end-to-end analytics capabilities and stability improvements that enable reliable user insights, portable data storage, and reproducible builds. Key work spans user activity tracking with RRWeb-based session replay, data backend refactor, and deployment hygiene enhancements. Technologies and patterns demonstrated include: RRWeb integration, in-memory storage for live analytics, JSON-based data storage, Docker image pinning for reproducible builds, and API-driven data access for activities, recordings, and replay links. These efforts collectively improve analytics reliability, data portability, and CI/CD stability, accelerating iteration and reducing deployment risk for downstream teams.
7 Commits • 3 Features
Aug 1, 2025In August 2025, delivered end-to-end analytics capabilities and stability improvements that enable reliable user insights, portable data storage, and reproducible builds. Key work spans user activity tracking with RRWeb-based session replay, data backend refactor, and deployment hygiene enhancements. Technologies and patterns demonstrated include: RRWeb integration, in-memory storage for live analytics, JSON-based data storage, Docker image pinning for reproducible builds, and API-driven data access for activities, recordings, and replay links. These efforts collectively improve analytics reliability, data portability, and CI/CD stability, accelerating iteration and reducing deployment risk for downstream teams.
August 2025
Activity
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Quality Metrics
Correctness84.2%
Maintainability83.4%
Architecture82.6%
Performance66.6%
AI Usage23.4%
Skills & Technologies
Programming Languages
BashCSSDockerfileJavaScriptPythonSQLTypeScript
Technical Skills
API DevelopmentAPI IntegrationAuthenticationBackend DevelopmentBrowser AutomationCI/CDContainerizationContent Security PolicyContext ManagersData PersistenceData StorageDatabase ManagementDevOpsDockerDynamic Imports
Repositories Contributed To
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