Prateek Hitli

AI-Powered Docker Repo Auditor

Six LLM agents read what three scanners found and grade a container image - CVEs, wasted layers, base image drift, CIS compliance. Four run concurrently under a per-agent timeout; two more consume the fan-in and see exactly which inputs can be trusted, so a failed agent degrades the report instead of quietly scoring you on less evidence. SQS FIFO worker on Fargate, live progress over Redis pub/sub, and a CI gate that blocks merges below 90% recall.

AZ-CLAW

A terminal-first AI coding agent that also runs from Telegram. Four modes - Agent, Plan, Ask and Second Brain - over one model factory that falls back from Groq to OpenRouter mid-call. Every file mutation is staged in memory and applied only after you approve a diff.

GuardRAG

An enterprise-grade RAG chatbot with built-in compliance guardrails, multi-tenant architecture, and role-based access control. Supports PDF/DOCX/XLSX ingestion, namespace-isolated Pinecone vector storage, and a four-mode guardrails engine (Block, Alert, Approval, Redact) with full audit logging.

I Built an AI Security Auditor, Then Audited It. It Was Wrong Twice.

Six agents read what three scanners found and grade a container image. Then I checked every finding against docker inspect and a raw Trivy run - and found one recommendation that would break your image and one that was three releases stale. Both are in the README.

August 30, 2026

Building the LEGO Speed Champions Fast & Furious Toyota Supra Mk4

Documenting my experience building the 319-piece LEGO Speed Champions Fast & Furious Toyota Supra Mk4 - from unboxing to the final iconic orange build.

August 12, 2026

I Gave an AI Agent Write Access to My Codebase. Then I Took It Away.

AZ-CLAW is a terminal-first coding agent that never writes to disk. Every mutation lands in an in-memory overlay, you review a diff, and only approved actions are applied - plus a Groq to OpenRouter fallback that lives inside the model object.

July 12, 2026