# 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` 🗓️  
**Source Hash (sha256):** `6153a5998fe103e69f6d5b6042fbe780476ff869a625fcf497fd1948b2944b7c` 🔐  
**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. 🤝

Also, the headline takeaway is *very* on-brand for modern delivery: the source cites ~**27%** of AI-generated code containing vulnerabilities, which is more about volume + velocity than “tool failure.” 📊

## 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. 🧱

This also keeps us aligned with the recommended pattern: PR checks as the default safety net, plus an optional CI/CD checkpoint for mature pipelines. ✅

## 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) 🍝

```mermaid
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) 🤖
- **Developer training** that explicitly covers GenAI risk (e.g., OWASP Top 10 for LLM/GenAI-style material) 🎓

## 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) 🔐
- Add a “central visibility” layer so Platform/Security can track adoption gaps (missed scans, inactive tooling) as a healthy **KPI Trend** over time. 📈

## 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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