Governance & leadership
Keeping control without slowing the team: AI coding policies, engineering-manager practices, and the guardrails that make AI adoption accountable.
How to use this collection
Use governance & leadership when you need a bounded answer rather than a generic promise about AI coding. The 5 articles separate observed evidence, working assumptions, product boundaries, and decisions that still belong to a human reviewer. Each guide is dated and keeps its source limitations visible.
Start with “AI Coding Governance” for the broadest entry point, then use “No Auto-Commit” when you need the collection's more specific edge. The cards below state what each article covers, so you can choose by task instead of reading a manufactured sequence. Related links inside each guide connect methods, risks, evidence, and next actions without treating one check as universal proof.
Check each article's publication date, cited source, and stated scope before applying it to a live repository. Examples explain a method; they do not replace your project rules, threat model, tests, or accountable reviewer. If two guides appear to conflict, compare their assumptions and evidence rather than selecting the more confident wording.
Governance
AI Coding Governance
The controls, workflows, approvals, and evidence a team needs to adopt AI coding tools without losing engineering accountability - and where each building block has limits.
Updated: July 17, 2026Read article →
Governance
The AI Coding Policy Template
Eight sections with the reasoning per section - tools, data rules, task rules, verification, evidence, agent permissions, exceptions, review. The full template is in-page, no download gate.
Updated: July 2, 2026Read article →
Governance
The EM Guide to AI Code Quality
Throughput stays green while quality erodes - the four leading indicators from git and PR data, their warning signs and interventions, and the operating rhythm that steers without micromanaging.
Updated: July 17, 2026Read article →
Governance
Juniors + AI: The Seniors Bottleneck
AI raises the floor of production, not the ceiling of judgment - review load concentrates upward, and cutting junior hiring consumes future seniority. The mechanism, the data, the workflow that relieves.
Updated: July 17, 2026Read article →
Governance
No Auto-Commit
Instructions are probabilistic, permissions are deterministic - the 2025 Replit incident proved the difference. The agent permission ladder, where auto-apply is fine, and how to enforce the gate.
Updated: July 17, 2026Read article →
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