My Toolkit

The Principal's Stack

"Tools don't make the architect, but the right tools let the architect move at the speed of thought."

I believe in a lean, bleeding-edge toolchain. Prioritized by intelligence first, hardware second.

⚡ Live Edge Latency Benchmark

Edge Computing vs Origin Infrastructure Telemetry

⚡ Cloudflare Workers AI Edge (RAG Endpoint)38 ms

🌐 NSX Edge BFD Keepalive Failover Window50 ms

🐢 Legacy Centralized Datacenter Origin450 ms

Edge AI inference delivers 11.8x faster execution than legacy origin servers.TELEMETRY_VERIFIED

🔍

🌌Antigravity 2.0

Agentic OS & CLI

Google Antigravity agentic CLI & IDE harness. Multi-agent orchestration, auto-verifying workspaces, and capability attenuation boundaries.

Click to Inspect config _AI

💡 Pro-Tip:Use 'agy run --verify' to execute multi-tier test pipelines before committing LLM configurations.

Reference Configuration:

                      # # Deploy an autonomous research agent and audit local code
agy deploy agent --role researcher --workspace share --plan ./agent-plan.md --verify

✨Gemini 3.5 Pro

5M+ Multimodal Context

State-of-the-art multimodal reasoning with native tool-calling loops, structured outputs, and massive 5M+ token context window.

Click to Inspect config _AI

💡 Pro-Tip:Perfect for parsing complete enterprise virtualization codebases alongside multi-gigabyte network telemetry pcaps in a single pass.

Reference Configuration:

                      // Example: Processing 5M tokens of datacenter config & dumps
const response = await ai.run("@cf/google/gemini-3.5-pro-instruct", {
  prompt: "Synthesize all firewall rules and highlight route leaks in these router dumps.",
  contextLength: 5000000
});

⚡Cursor & Vibe Coding

AI-Native Editor

AI-native editing IDE. Supports iterative agentic code loops, agent-directed terminal tasks, and Vibe Coding workflows.

Click to Inspect config _AI

💡 Pro-Tip:Pair with custom .cursorrules file to prevent LLMs from generating deprecated cloud provider configurations.

Reference Configuration:

                      # # Content of .cursorrules for IaC modules
- Enforce strict Azure Landing Zone tagging rules
- Always run Checkov static scans locally before plan
- Avoid hardcoded values in main.tf; use variables.tf

🔌MCP Daemon (Model Context Protocol)

Universal Tool Bridge

Anthropic's universal protocol connecting LLMs to secure filesystems, devtools, APIs, and databases under strict schemas.

Click to Inspect config _AI

💡 Pro-Tip:Build local MCP servers in Node or Python to securely expose enterprise CMDB APIs to LLMs.

Reference Configuration:

                      # # Launch a custom MCP server bridge to expose RackTables IPAM
npx @modelcontextprotocol/server-ipam --config /etc/mcp-ipam.json

🦙Ollama & Local LLMs

Air-Gapped Models

Offline model engine executing localized reasoning (DeepSeek R2, Llama 4-Light) within air-gapped secure vault zones.

Click to Inspect config _AI

💡 Pro-Tip:Run deep reasoning models offline to audit secure vault scripts without egress risk.

Reference Configuration:

                      # # Run localized DeepSeek R2 model offline
ollama run deepseek-r2:70b

🧠Claude Sonnet 4.6

Extended Thinking

Hybrid reasoning engine with extended thinking mode for deep architectural analysis. Primary pair-programming model via Antigravity IDE.

Click to Inspect config _AI

💡 Pro-Tip:Use extended thinking mode for multi-step IaC security audits — it reasons through policy chains that single-pass models miss.

Reference Configuration:

                      /* System Instruction Fragment */
<interface_guidelines>
  Always verify that the returned payload conforms to the RFC-4217 currency schema.
</interface_guidelines>

🕸️LangGraph & CrewAI

Stateful Orchestration

Stateful, cyclical multi-agent graph engineering tools. Builds complex workflow runtimes with cyclic logic and memory sync.

Click to Inspect config _AI

💡 Pro-Tip:Implement checkpoint memory state tables inside D1 SQLite databases to resume broken agent runs hitlessly.

Reference Configuration:

                      from langgraph.graph import StateGraph, END
# Define a stateful multi-agent network auditing graph
workflow = StateGraph(AuditState)
workflow.add_node("scanner", run_subnet_scan)
workflow.add_node("auditor", check_compliance)
workflow.add_conditional_edges("scanner", should_audit)
workflow.set_entry_point("scanner")

🔬DSPy Framework

Prompt Compiler

Declarative programming framework for language models, compiling prompts automatically into optimized instruction weights.

Click to Inspect config _AI

💡 Pro-Tip:Use DSPy bootstrapping to auto-generate negative/positive training validation sets directly from logging tables.

Reference Configuration:

                      import dspy
# Define a DSPy signature for route auditing
class RouteAuditor(dspy.Signature):
    router_config = dspy.Input(desc="CLI config string")
    route_leaks = dspy.Output(desc="List of leaked prefixes")

predictor = dspy.BootstrapFewShot(metric=validate_leaks).compile(RouteAuditor())

🛡️agentic-circuit-breaker

Resilience Engine

Custom public TypeScript library implementing a stateful FSM (CLOSED/OPEN/HALF-OPEN) to protect LLM endpoints.

Click to Inspect config _AI

💡 Pro-Tip:Integrate with edge runtimes to fail over immediately to backup LLM pools during network drops.

Reference Configuration:

                      import { AgenticCircuitBreaker } from "agentic-circuit-breaker";

const breaker = new AgenticCircuitBreaker({
  failureThreshold: 3,
  recoveryTimeoutMs: 10000
});

// Run task through circuit breaker safety wrapper
const response = await breaker.execute(() => callWorkersAI());

🛣️llm-cost-router

BGP Cost Steering

BGP-inspired Local Preference cost-routing engine that dynamically steers token queries to the most cost-effective adequacy tier.

Click to Inspect config _AI

💡 Pro-Tip:Evaluate input prompt token lengths to steer queries dynamically and avoid expensive model overheads.

Reference Configuration:

                      import { LLMCostRouter } from "llm-cost-router";

const router = new LLMCostRouter();
// Route to Flash for <500 words, Pro for deep reasoning
const selectedModel = router.route({
  prompt: userQuery,
  budgetCentLimit: 0.5
});

🖥️Custom SDDC Server Lab

Bare Metal Rack

Custom-built enterprise rack server used to replicate physical/virtual hybrid SDDC architecture locally before deploying to production.

View Lab Diagram ↗HARDWARE

💡 Pro-Tip:Click this card to view the interactive server architecture diagram below!

Reference Configuration:

                      # # Verify ESXi nested virtualization is enabled in CPU features
grep -E "vmx|svm" /proc/cpuinfo

💻MacBook Pro M5

Mobile Workstation

Apple Silicon M5 Max workstation with high-bandwidth Unified Memory for extreme mobile AI inference.

Click to Inspect config _HARDWARE

💡 Pro-Tip:Configure local llama.cpp bindings running quantized models at 45+ tokens/second.

Reference Configuration:

                      # # Run quantized Llama-3.1-8B local inference using Metal acceleration
./llama-cli -m models/llama-3.1-8b-instruct-q4_k_m.gguf -ngl 32 -p "Review this config"

🎙️Mac Studio

Desktop Node

Apple Silicon Ultra series host with maximized memory, dedicated to running large 70B+ local LLMs offline.

Click to Inspect config _HARDWARE

💡 Pro-Tip:Kept as a continuous local vectorizer for personal markdown vaults.

Reference Configuration:

                      # # Local launch of quantized DeepSeek R1 70B
llama-server --model models/deepseek-r1-70b-q4.gguf --ctx-size 8192 --port 8080

🛠️Terraform & Ansible

Declarative IaC

Toolchain of choice for provisioning multi-cloud landing zones and configuring bare-metal SDDC fabrics.

Click to Inspect config _OPS

💡 Pro-Tip:Always validate HCL configurations using Checkov static rules inside PR pipelines.

Reference Configuration:

                      # # Run local Checkov compliance check against Terraform modules
checkov -d . --framework terraform --soft-fail

📟iTerm2 + Zsh

Terminal CLI

Custom terminal environment optimized with aliases, syntax highlighting, and powerlevel10k theme prompts.

Click to Inspect config _OPS

💡 Pro-Tip:Configure aliases to audit routing tables without leaving the terminal.

Reference Configuration:

                      # # Shortcut alias to check core BGP routing tables
alias bgpshow='ssh admin@core-rt01 show ip bgp summary'

📓Obsidian Brain

Knowledge Engine

Personal markdown-based knowledge management vault utilizing linked thinking to map operational timelines.

Click to Inspect config _OPS

💡 Pro-Tip:Version-control your Obsidian vault to track career timelines and incident logs.

Reference Configuration:

                      # # Git automation script inside vault directory
git add . && git commit -m "update: vault nodes" && git push origin master

💰Infracost

FinOps Gate

Terraform cost estimation tool integrated into PR pipelines. Blocks infrastructure changes that exceed monthly cost thresholds before merge.

Click to Inspect config _OPS

💡 Pro-Tip:Pair with Checkov to run cost + security checks simultaneously in the same GitHub Actions step.

Reference Configuration:

                      # # Run cost estimate on Terraform plan before PR merge
infracost breakdown --path . --format json |   infracost comment github --repo $GITHUB_REPOSITORY   --pull-request $PR_NUMBER   --path /tmp/infracost.json

☁️Wrangler CLI

Cloudflare Edge

Cloudflare Workers deployment CLI. Manages D1 migrations, KV namespaces, and production edge Worker deployments from the terminal.

Click to Inspect config _OPS

💡 Pro-Tip:Use 'wrangler d1 execute --local' for offline D1 SQLite testing without touching production bindings.

Reference Configuration:

                      # # Deploy Worker, run D1 migration, and tail live logs
wrangler deploy
wrangler d1 migrations apply portfolio-db --remote
wrangler tail --format pretty

🖥️ SDDC Topology Inspector

Interactive Bare-Metal Lab Server

Click on the architectural blocks below to query hardware layer configurations and overlay metrics.

Node Status: ONLINE

🔬 Telemetry Terminal

1. Compute & Virtualization (VMware ESXi)

~ # esxcli system version get
 Product: VMware ESXi
 Version: 7.0.3 (Build 19482537)
~ # esxcli hardware cpu list | grep "Brand"
 Brand: Dual Intel(R) Xeon(R) Gold 6230 CPU @ 2.10GHz
~ # esxcli system welcome get
 Nested Virt VT-x/EPT: ENABLED (Host ID: sddc-host-01)

PRO-TIP:Nested ESXi is configured with VT-x/EPT hardware virtualization passthrough to run full virtualization overlays at 96% hardware efficiency.

LAB_IP: 192.168.200.1 | SYSTEM_HEALTH: 99.8%

My Toolkit

Edge Computing vs Origin Infrastructure Telemetry

🌌Antigravity 2.0

✨Gemini 3.5 Pro

⚡Cursor & Vibe Coding

🔌MCP Daemon (Model Context Protocol)

🦙Ollama & Local LLMs

🧠Claude Sonnet 4.6

🕸️LangGraph & CrewAI

🔬DSPy Framework

🛡️agentic-circuit-breaker

🛣️llm-cost-router

🖥️Custom SDDC Server Lab

💻MacBook Pro M5

🎙️Mac Studio

🛠️Terraform & Ansible

📟iTerm2 + Zsh

📓Obsidian Brain

💰Infracost

☁️Wrangler CLI

Interactive Bare-Metal Lab Server

1. Compute & Virtualization

2. High-Speed Storage

3. Physical Network Link

4. SDN Logical Overlays

1. Compute & Virtualization (VMware ESXi)