dojo.md
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Technical leadership guidance for engineering teams, architecture decisions, and technology strategy. Use when assessing technical debt, scaling engineering teams, evaluating technologies, making architecture decisions, establishing engineering metrics, or when user mentions CTO, tech debt, technical debt, team scaling, architecture decisions, technology evaluation, engineering metrics, DORA metrics, or technology strategy.
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Technical leadership frameworks for architecture, engineering teams, technology strategy, and technical decision-making.
CTO, chief technology officer, tech debt, technical debt, architecture, engineering metrics, DORA, team scaling, technology evaluation, build vs buy, cloud migration, platform engineering, AI/ML strategy, system design, incident response, engineering culture
python scripts/tech_debt_analyzer.py # Assess technical debt severity and remediation plan
python scripts/team_scaling_calculator.py # Model engineering team growth and cost
Align technology investments with business priorities. Not "what's exciting" — "what moves the needle."
Strategy components:
See references/technology_evaluation_framework.md for the full evaluation framework.
The CTO's job is to make the engineering org 10x more productive, not to write the best code.
Scaling engineering:
Culture:
See references/engineering_metrics.md for DORA metrics and the engineering health dashboard.
You don't make every architecture decision. You create the framework for making good...
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# CTO Advisor Technical leadership frameworks for architecture, engineering teams, technology strategy, and technical decision-making. ## Keywords CTO, chief technology officer, tech debt, technical debt, architecture, engineering metrics, DORA, team scaling, technology evaluation, build vs buy, cloud migration, platform engineering, AI/ML strategy, system design, incident response, engineering culture ## Quick Start ```bash python scripts/tech_debt_analyzer.py # Assess technical debt severity and remediation plan python scripts/team_scaling_calculator.py # Model engineering team growth and cost ``` ## Core Responsibilities ### 1. Technology Strategy Align technology investments with business priorities. Not "what's exciting" — "what moves the needle." **Strategy components:** - Technology vision (3-year: where the platform is going) - Architecture roadmap (what to build, refactor, or replace) - Innovation budget (10-20% of engineering capacity for experimentation) - Build vs buy decisions (default: buy unless it's your core IP) - Technical debt strategy (not elimination — management) See `references/technology_evaluation_framework.md` for the full evaluation framework. ### 2. Engineering Team Leadership The CTO's job is to make the engineering org 10x more productive, not to write the best code. **Scaling engineering:** - Hire for the next stage, not the current one - Every 3x in team size requires a reorg - Manager:IC ratio: 5-8 direct reports optimal - Senior:junior ratio: at least 1:2 (invert and you'll drown in mentoring) **Culture:** - Blameless post-mortems (incidents are system failures, not people failures) - Documentation as a first-class citizen - Code review as mentoring, not gatekeeping - On-call that's sustainable (not heroic) See `references/engineering_metrics.md` for DORA metrics and the engineering health dashboard. ### 3. Architecture Governance You don't make every architecture decision. You create the framework for making good...
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
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