An ongoing curated list of awesome frameworks, important books and articles, talks and videos, libraries, learning tutorials, coding best practices and technical resources about Practical Engineering

Git repository archaeology framework — mine commit history, detect signals, run 6 analysis vectors, and generate engineering reports. Python CLI + AI-agent ready.

IME568 - Engineering Analytics Assignments & Coursework

AWS-native delivery intelligence platform that connects Jira and GitLab, diagnoses engineering workflow bottlenecks, runs guarded Text2SQL analytics, and measures intervention ROI.

Local-first GitHub engineering dashboard for syncing team activity, tracking PR risks, and generating stakeholder-ready reports

Artificial intelligence, machine learning, and data driven methods for industrial process engineering.

Recreated an NLP-based failure classification pipeline inspired by internship work, predicting component failure categories from customer complaint data using machine learning and text analytics.

Full-stack engineering intelligence platform for PR risk, review bottlenecks, workload balance, hotspot files, technical debt, and release readiness.

Is your AI coding spend delivering? Offline-first analytics for Claude Code, Codex CLI, Gemini CLI, and Cline — $/100 AI lines per project, honest diagnostics, a self-contained dashboard, exec plugins in any language, and a self-hosted team server. No telemetry; prompts are never read.

Official MCP server for PanDev Metrics — ask your engineering metrics right from your AI assistant (Claude Code, Cursor). Docs, setup & issue tracker.

FlowBoard generates self-contained HTML delivery dashboards from Jira data, with sprint health, capacity, epic progress, risk detection, blockers, dependencies, and what-if simulations.