Shadow Dossier: AI Code Guardrails (Dave Layer Applied) 🚀

Protocol: IF.DAVE.v1.0 📬
Citation: if://bible/dave/v1.0 🧾
Source: examples/ai-code-guardrails/AI-Code-Guardrails.pdf 📎
Generated: 2025-12-25 🗓️
Extract Hash (sha256): 2e73e0eca81cf91c81382c009861eea0f2fc7e3f972b5ef8aca83970dabe5972 🔍

Warm-Up: Quick vibes check-in 👋

Happy 2025-12-25, Team! 🌤️ We love the momentum here, and it’s genuinely exciting to see Security and Velocity showing up to the same meeting for once. 🤝

Alignment: Shared outcomes (high-level) 🎯

We are all super aligned on the vision of shipping faster and safer, while minimizing any unexpected “operational headwinds.” 📈

Anchor: Respecting our heritage workflows 🏛️

We are going to keep leveraging the existing pull-request review ritual as the canonical “moment of truth,” because changing that now would be… a lot. 🧱

Vibe Check: What the team is feeling 🧠

The team feels really good about a layered approach where guardrails show up early (IDE) and also show up late (PR/CI), so nobody has to feel surprised by reality. ✨

Spaghetti Map: Cross-functional synergies (do not read too literally) 🍝

flowchart TD
  A[AI Assistants 🚀] --> B[Access Enablement 🤝]
  B --> C{Proof of Local Testing? 🧾}
  C -->|Yes-ish ✅| D[IDE Plugin Scanning 🔌]
  C -->|Roadmap 📌| E[Conditional Access 🛡️]
  D --> F[PR Checks ✅]
  E --> F
  F --> G[“KPI Trend” Dashboard 📈]
  G --> H[Alignment Session 🤝]
  H --> B

Concern Troll: Prudence before ocean boiling 🐢

While we love the ambition of an organization-wide rollout, we should make sure we don’t accidentally convert “developer productivity” into “administrative overhead” overnight. 🧯

Suggested phased guardrails (light-touch, high-leverage) ✅

PR-stage checks as the default safety net (scan every change as submitted) 🧷
IDE scanning for real-time feedback (plugin-based) 🔍
CI/CD checkpoint as a second layer for mature pipelines 🧱
Agent workflows supported via a local MCP server (background checks while code is generated) 🤖

Compliance Trap: Keeping everyone safe and aligned 🛡️

Before granting access broadly, it feels prudent to tie enablement to secure configuration so we can say we are being “fully compliant with best practices,” even when we are just being sensibly cautious. 📜

Implementation options we can socialize 📣

Require a lightweight Access Request with proof of local testing (e.g., a screenshot showing the security IDE plugin is installed) 🖼️
Run periodic audits using IDE/CLI usage reporting to identify blind spots (trust-but-verify energy) 🧭
Use endpoint management (Intune/Jamf/Citrix) to gate access until prerequisites are met (conditional access rules) 🔐

Pivot: Start with a slide deck (low-risk, high-visibility) 🖼️

What if we start with a short internal deck that frames this as an AI Readiness initiative, with a tiny pilot cohort and a “KPI Trend” dashboard, before we do anything that looks like change? 📊

Circle Back: Next steps (optimised for alignment) 📌

We can schedule a 30–60 minute Alignment Session to confirm scope, owners, and what “secure rollout” means in each team’s reality. 🗓️

Proposed agenda (super lightweight) 🧾

Agree on the minimum bar for “proof of local testing” 🔍
Decide which PR checks are mandatory vs. aspirational 📈
Align on how we measure adoption without creating friction 📏
Confirm who needs to be looped in (Security, Platform, Legal-adjacent stakeholders) 🤝

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