What problem does it solve? Engineering leaders often lack structured frameworks for assessing technical debt, planning team growth, and documenting architecture decisions, leading to ad-hoc choices and unmeasured engineering health. ## Core Features & Use Cases - Technical Debt Analysis: Run the tech_debt_analyzer.py script to score debt across architecture, code quality, infrastructure, security, and performance, then get prioritized remediation actions and effort estimates. - Team Scaling Planning: Use team_scaling_calculator.py to generate hiring plans, role distributions, budget projections, and organizational structures based on current headcount and growth targets. - Architecture & Metrics Frameworks: Apply ADR templates, DORA metrics targets, and a technology evaluation framework from the references directory for governance and vendor selection. - Use Case: A CTO inheriting a legacy platform can score its debt level, estimate the sprints needed for remediation, and produce a quarterly hiring plan to support the migration. ## Quick Start Ask the assistant to analyze technical debt for your system or calculate a team scaling plan from your current headcount and target size.
