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Every blog post and case study on the site with the principles and playbooks each piece argues for. Filter by any principle or playbook to see just the evidence behind it.

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PrincipleAll Explicit Control Loops Evidence First, Measure Before You Optimize Classify Failures, Then Choose Recovery One Config, Many Surfaces Contract-Driven Integration GitOps for Reviewable Operations

PlaybookAI-Assisted Dev Adoption Loop AI Infrastructure Readiness Audit Healthcare Integration Onboarding Agent Rollout With Guardrails

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Build Your Own Legs Before the Crutches FailMar 9, 2026 · 13 min
How I use AI drafts to build engineering judgment through inspection, regression tests, code review, and repeatable release checks.
Explicit Control Loops Playbook: AI-Assisted Dev Adoption Loop Playbook: Agent Rollout With Guardrails
Repo Design Patterns for AI-Assisted Dev: Control Loops, Hooks, and MemoryFeb 9, 2026 · 6 min
Treat the repository as a control system: versioned instructions, explicit workflows, fast hooks, durable context, and visible failure states.
Explicit Control Loops One Config, Many Surfaces Playbook: AI-Assisted Dev Adoption Loop Playbook: Agent Rollout With Guardrails
Loom: One Registry, Many AI Coding AssistantsFeb 9, 2026 · 7 min
How Loom generates and checks MCP configuration across nine client profiles from one canonical registry.
One Config, Many Surfaces Playbook: AI-Assisted Dev Adoption Loop Playbook: Agent Rollout With Guardrails
Building Practical AI AgentsNov 15, 2025 · 5 min
A source-backed guide to agent reliability: explicit state, bounded tools, verification gates, and visible failure.
Explicit Control Loops Contract-Driven Integration Playbook: AI-Assisted Dev Adoption Loop Playbook: Agent Rollout With Guardrails